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Publications > Journals > Journal of Clinical and Translational Hepatology > Article Full Text

  • Review Article
  • OPEN ACCESS

Hepatocellular Carcinoma: Diagnosis, Treatment Algorithms, and Imaging Appearance after Transarterial Chemoembolization

  • Patrick Vande Lune1,
  • Ahmed K. Abdel Aal2,
  • Sergio Klimkowski3,
  • Jessica G. Zarzour4 and
  • Andrew J. Gunn*,2
 Author information
Journal of Clinical and Translational Hepatology   2018;6(2):175-188

doi: 10.14218/JCTH.2017.00045

Abstract

Hepatocellular carcinoma (HCC) is a common cause of cancer-related death, with incidence increasing worldwide. Unfortunately, the overall prognosis for patients with HCC is poor and many patients present with advanced stages of disease that preclude curative therapies. Diagnostic and interventional radiologists play a key role in the management of patients with HCC. Diagnostic radiologists can use contrast-enhanced computed tomography (CT), magnetic resonance imaging, and ultrasound to diagnose and stage HCC, without the need for pathologic confirmation, by following established criteria. Once staged, the interventional radiologist can treat the appropriate patients with percutaneous ablation, transarterial chemoembolization, or radioembolization. Follow-up imaging after these liver-directed therapies for HCC can be characterized according to various radiologic response criteria; although, enhancement-based criteria, such as European Association for the Study of the Liver and modified Response Evaluation Criteria in Solid Tumors, are more reflective of treatment effect in HCC. Newer imaging technologies like volumetric analysis, dual-energy CT, cone beam CT and perfusion CT may provide additional benefits for patients with HCC.

Keywords

Interventional radiology, Interventional oncology, Hepatocellular carcinoma, Response criteria, Transarterial chemoembolization, Diagnostic radiology

Introduction

Hepatocellular carcinoma (HCC) is a common cause of cancer-related death.1 It occurs most often in the setting of cirrhosis, usually related to chronic hepatitis C virus (HCV) infection or chronic hepatitis B virus (HBV) infection. Prolonged alcohol use and nonalcoholic steatohepatitis (NASH) are also significant risk factors.1,2 During the past two decades, the incidence of HCC in the USA has more than doubled, due largely in part to increasing rates of HCV infection.1,3 However, it is likely that the incidence of HCC is actually underestimated, as active surveillance for HCC is underutilized.4 Globally, HCC is an even greater public health concern, as it is the third leading cause of cancer-related deaths worldwide.5 Most of this cancer burden (85%) falls on developing countries, with the highest incidence in regions where HBV infection is endemic.1

Despite the numerous existing strategies to treat HCC, the 5-year survival rate remains below 12%.1 In developing nations, survival rates are as low as 5%.5 Surgical resection, transplantation and ablation are potentially curative treatment options for HCC.6 Unfortunately, only a minority of patients are eligible for these treatments at the time of diagnosis.2,7 Instead, patients frequently present with symptoms of cancer and liver failure, unless their tumors are identified early by surveillance methods.8 For patients presenting with more advanced disease, several treatments have been developed to slow disease progression. These include many liver-directed therapies, such as bland transarterial embolization (TAE), conventional transarterial chemoembolization (cTACE), drug-eluting beads TACE (DEB-TACE) and yttrium-90 (90Y) radioembolization.6,9,10 Systemic chemotherapy regimens, including the kinase-inhibitor sorafenib, are also available. Yet, at the time of writing, cTACE is the only of these liver-directed methods that have been demonstrated to convey a survival benefit in randomized controlled trials.11,12 As such, cTACE is currently the standard of care for patients meeting criteria for intermediate-stage HCC as defined by the Barcelona Clinic Liver Cancer (BCLC) guidelines.13

The ability to assess treatment response after TACE is critical for determining the efficacy of previous treatments and the need for retreatment. Imaging response to treatment also has the potential to improve patient selection and predict patient outcomes.14 However, traditional imaging criteria, such as the World Health Organization (WHO) and Response Evaluation Criteria in Solid Tumors (RECIST), focus on tumor size as a marker of treatment.15,16 This is problematic in HCC, as size-based criteria have been shown to be poor predictors of patient survival after cytostatic treatment methods, such as TACE.17 It is important for healthcare practitioners who treat patients with HCC to be familiar with these concepts. Therefore, the purpose of this article is to review current imaging strategies in the diagnosis, staging and follow-up after TACE for patients with HCC.

Imaging in the diagnosis of HCC

Unlike most malignancies, the diagnosis of HCC can be made on imaging alone, without the need for pathologic confirmation.18 This requires imaging centers to pay strict heed to the highest standards during imaging acquisition and for radiologists to follow defined protocols during image interpretation and reporting. The following section will provide guidance in these areas.

Technical considerations in image acquisition

Computed tomography (CT) examinations for HCC should be performed using a multidetector scanner, containing at least 8 detector rows with minimal section thickness of 5 mm and bolus tracking set to the descending thoracic aorta. Thinner sections are preferable, particularly if multiplanar reconstructions are obtained. A power injector should also be used to achieve at least a 3 mL/sec rate with minimum of 300 mg of iodine/mL for a total dose of 1.5 mL/kg body weight. Unenhanced, late arterial phase (defined as having the artery fully enhanced and the beginning of enhancement of the portal vein), portal venous phase (defined as having the portal vein enhanced, peak liver parenchymal enhancement, and the beginning of enhancement in the hepatic veins), and delayed phase (3–5 m postcontrast injection) images should be obtained.19

For magnetic resonance imaging (MRI), a multiphasic contrast-enhanced examination should be performed with a 1.5 T or greater magnetic field strength scanner using multichannel phased–array body coils. Power injectors should be used to inject gadolinium-based contrast at the rate of 2 mL/s with bolus tracking. Like in multiphasic CT exams, images should be obtained in unenhanced, late arterial, portal venous and delayed phases. Requisite sequences include: precontrast T1-weighted, multiphase postcontrast T1-weighted, 3D fat-suppressed gradient echo, T2-weighted images with and without fat saturation, and T1-weighted images in-phase and in opposed-phase. Diffusion-weighted sequences are also typically performed using at least two b-values.20 A low b-value sequence (typically between 0–50 s/mm2) is obtained, followed by a high b-value sequence (usually >500 s/mm2), and then an apparent diffusion coefficient (ADC) map is generated. Breath holding techniques should be employed to obtain quality images.19 The determination of contrast enhancement can be difficult for lesions with inherent high T1 signal; thus, the utilization of subtracted images (images where the precontrast T1 sequences are subtracted from the postcontrast T1 sequences) can be useful in these scenarios.21 Studies have shown superior sensitivity of MRI over CT in diagnosing HCC; therefore, MRI is the preferred modality in evaluating patients with chronic liver disease.22,23

A variety of gadolinium-based contrast agents are available for clinical use, and their utility in the diagnosis and post-therapeutic imaging of HCC are worth mentioning here. The majority of gadolinium-based contrast agents can be classified as extracellular agents which, similar to iodinated contrast media, are passively filtered through the kidneys prior to excretion.24 When the diagnostic criteria discussed below are followed, these agents are highly specific (>95%) in diagnosing HCC.24 On the other hand, hepatobiliary contrast agents distribute into the vascular and extravascular spaces during the arterial and portal venous phases, progress into a transitional phase where the agent moves into a predominantly intracellular position (lasting approximately 2–5 m after injection), and then move into the hepatocytes and bile ducts during the hepatobiliary phase.25 Utilizing hepatobiliary agents, HCC is expected to demonstrate arterial enhancement and portal venous washout. Hepatobiliary agents are sensitive for HCC (79–100%) but have overall poor specificity (33–92%) due to the background liver uptake in the transitional phase and other non-HCC lesions that can demonstrate hypointensity on hepatobiliary phase imaging.24,26 Moreover, the appearance of HCC at delayed phase imaging is dependent upon the degree of tumor infiltration and well-differentiated HCC may take up hepatobiliary agents, leading to misdiagnosis.27 In the setting of monitoring treatment response, MRI with an extracellular agent may be preferred to hepatobiliary agents, which are prone to more arterial phase motion artifacts due to transient tachypnea.25

Imaging characteristics of HCC

HCC is primarily supplied by the hepatic arterial system, and thus enhances during the arterial phase of CT (Fig. 1) and MRI (Fig. 2) examinations with high specificity.28,29 In contrast, the surrounding hepatic parenchyma shows little enhancement in this phase because it is primarily supplied by the portal venous system. During the portal venous phase of imaging, the background hepatic parenchyma typically demonstrates normal homogeneous enhancement, while HCC will appear relatively hypoattenuating due to lack of portal venous supply. However, it should be noted that the enhancement of the hepatic parenchyma can be altered in cirrhotic patients. HCC continues to be hypoattenuating on delayed (3 m) phases as well. This characteristic perfusion pattern of HCC relative to the normal hepatic parenchyma is called “washout”.

Multiphase, contrast-enhanced CT scan in a 52 year-old man with a history of cirrhosis and transjugular intrahepatic portosystemic shunt placement.
Fig. 1.  Multiphase, contrast-enhanced CT scan in a 52 year-old man with a history of cirrhosis and transjugular intrahepatic portosystemic shunt placement.

(A) axial CT image obtained in the arterial phase shows an avidly arterially-enhancing lesion near the hepatic dome (white arrow). (B) coronal CT image obtained in the portal venous phase shows washout within the lesion with surrounding pseudocapsule (white arrow). (C) axial CT image obtained in the 3-m delayed phase shows continued washout with the lesion (white arrow). This lesion was radiographically diagnostic of HCC.

Multiphase, contrast-enhanced MRI in a 64 year-old man with cirrhosis.
Fig. 2.  Multiphase, contrast-enhanced MRI in a 64 year-old man with cirrhosis.

The lesion (white arrows) shows characteristic findings of HCC, including increased T2 signal (A), restricted diffusion (B; obtained at a b-value of 700 s/mm2), decreased signal on T1 precontrast image (C), arterial hyperenhancement (D), washout with pseudocapsule on venous phase (E), and washout with pseudocapsule on delayed 3-m phase (F).

Delayed phase imaging is more sensitive to the washout effect than the portal venous phase (Fig. 3).28–31 Another characteristic imaging finding of HCC is that of a peripheral enhancing rim around the lesion that is present on venous or delayed phase imaging, referred to as a ‘pseudocapsule’. The detection of a pseudocapsule may not improve diagnostic accuracy beyond the afore-mentioned features for larger lesions; yet, its recognition is critical to the classification of lesions between 1 and 2 cm in size.32 Arterial enhancement may be lacking in small, well-differentiated HCC as well as in infiltrative HCC. Subsequently, a high index of suspicion is required when evaluating cross-sectional imaging in a cirrhotic patient. Further, the presence of tumor invasion into the portal vein may cause an altered appearance on dynamic contrast-enhanced CT or MRI with loss of typical HCC features, secondary to increased arterioportal shunting.33 Tumor thrombus within the affected portal vein may display the characteristic hyperenhancement and washout.34

Multiphase contrast-enhanced CT in a 55 year-old woman with cirrhosis.
Fig. 3.  Multiphase contrast-enhanced CT in a 55 year-old woman with cirrhosis.

(A) the lesion in the right posterior hepatic lobe is not visualized on the unenhanced CT image. (B) axial CT image obtained in the arterial phase demonstrates an arterially-enhancing lesion (white arrow), raising concern for HCC. (C) the lesion become isoenhancing in the portal venous phase without clear washout (white arrow). (D) axial CT image in the 3-m delayed phase demonstrates clear washout and clinches the diagnosis of HCC. If the examination was terminated prior to obtaining the delayed phase, the diagnosis of HCC could not be made.

The role of ultrasound in cirrhotic patients is primarily for screening. Conventional grayscale ultrasound has limited sensitivity and specificity for the diagnosis of HCC.32 HCC can have a variable appearance on ultrasound, but is most commonly hypoechoic. Any solid nodule detected by ultrasound should be considered as a potential HCC in a cirrhotic patient. Contrast-enhanced ultrasound (CEUS) can be extremely useful in patients with contraindications to receiving iodinated- or gadolinium-based contrast. CEUS was approved by the United States Food and Drug Administration (FDA) for the evaluation of focal liver lesions in 2016. It can be used safely in patients with chronic or acute renal failure. CEUS has been shown to have a sensitivity and specificity for HCC similar to CT and MRI.35 HCC will demonstrate arterial hyperenhancement with relative hypoenhancement to the normal liver parenchyma on later phase images (Fig. 4).36

Contrast-enhanced ultrasound in a 48 year-old man with cirrhosis.
Fig. 4.  Contrast-enhanced ultrasound in a 48 year-old man with cirrhosis.

(A) gray scale image demonstrates two solid hypoechoic lesions in the left hepatic lobe (white arrows). (B) contrast-enhanced ultrasound image obtained in the arterial phase shows the lesions to have avid arterial enhancement. (C) venous phase image demonstrates the lesions becoming isoenhancing to the adjacent liver parenchyma. (D) delayed phase image obtained at 3-m shows washout within both of the lesions, consistent with HCC.

18F-fludeoxyglucose (FDG) positron emission tomography (PET) has limited sensitivity for the detection of HCC and a high false-negative rate due to poor uptake in well-differentiated HCC.3711C-labeled acetate PET has been suggested as a means to increase sensitivity for the detection of primary HCC, with one study showing an increased sensitivity in detecting HCC when compared to FDG-PET.37 Disadvantages of 11C-acetate include the need for an on-site cyclotron and its short half-life (20 m).

Categorization of HCC on imaging

The categorization of HCC is not only important from a diagnostic standpoint but also from a resource allocation perspective. For example, the United Network for Organ Sharing (UNOS) is responsible for the administration of the Organ Procurement and Transplantation Network (OPTN), whose main goal is the fair allocation of transplant organs over the broadest possible geographic areas in order of decreasing medical urgency.38 In 2011, a new liver allocation policy was approved featuring an improved model for end-stage liver disease (MELD) exception criteria that allows HCC patients to gain increased priority on liver transplant lists. This approach assigns liver transplantation priority to those with HCC since these patients have an increased risk of mortality due to tumor progression that pushes them outside of accepted transplantation criterion. In this new approach, MELD exception points are given to patients with T2 disease (defined as one tumor ≥2 cm and ≤5 cm or 2–3 tumors ≥1 cm and ≤3 cm) so long as they meet transplant criteria. These patients are then imaged with either CT or MRI every 2–3 months to ensure that they remain eligible for transplant. From this, it is clear that the ability of the radiologist to accurately diagnose and categorize HCC is paramount for patient care.

To aid the radiologist in this endeavor, there are established methods to categorize HCC. The most commonly employed and recognized system is that of the OPTN (Table 1). The OPTN system classifies liver lesions into OPTN class 0 through class 5 lesions. In this system, only an OPTN class 5 lesion can be called “diagnostic” of HCC. In this regard, a class 5A lesion is ≥1 cm and <2 cm, demonstrates arterial hyperenhancement with washout, and contains a pseudocapsule. A patient must have 2 or 3 OPTN 5A lesions to meet T2 criteria and qualify for MELD exception points. An OPTN 5B lesion is ≥2 cm and ≤5 cm and has arterial hyperenhancement with either washout or a pseudocapsule. This qualifies for T2 disease and MELD exception points.39 Additional imaging features like lesion fat content, T2 hyperintense signal and diffusion restriction should be used carefully and at the discretion of the radiologist. At present, no automatic MELD points can be awarded to lesions in which these ancillary findings form the basis of an HCC diagnosis.

Table 1.

OPTN classification scheme for the categorization of HCC.

OPTN class; descriptionComment
0; incomplete or technically inadequate examRepeat study
1; no evidence of HCCRoutine surveillance in appropriate population
2; benign lesion or diffuse parenchymal abnormalityRoutine surveillance in appropriate population
3; indeterminate lesionFollow-up imaging
4; intermediate lesion – meets some criteria for HCC but not diagnosticShort term follow-up suggested +/- biopsy
5; meets diagnostic criteria for HCC, further divided into subgroups
5A; ≥1 cm and <2 cm on late arterial or portal venous phase imagesIncreased contrast enhancement in late hepatic arterial phase AND washout during later phases of contrast enhancement AND peripheral rim enhancement (capsule or pseudocapsule)
5A-g; same size criteria as 5A but lesion grows in sizeIncreased contrast enhancement in late hepatic arterial phase AND maximum diameter increase by 50% or more documented on serial MRI or CT obtained ≤6 months apart – does not apply to ablated lesions
5B; ≥2 cm and ≤5 cmIncreased contrast enhancement in late hepatic arterial phase AND one of the following:

  • Washout during later contrast phases

  • Late capsule or pseudocapsule enhancement

  • Growth by 50% or more documented on serial CT or MR images obtained ≤6 months apart – does not apply to ablated lesions

  • Positive biopsy

5T; “treated” lesionsPast liver-directed therapy for OPTN 5 HCC or biopsy-proven HCC with any residual lesion
5X; ≥5 cmIncreased contrast enhancement in late hepatic arterial phase AND either washout during later contrast phases OR capsule or pseudocapsule enhancement

In 2011, the American College of Radiology (ACR) created the Liver Imaging Reporting and Data System (LI-RADS) to provide a standardized approach to the assessment of cirrhotic nodules and the diagnosis of HCC (Table 2). Even though the system is not universally adopted, radiologists should be familiar with its content. In this schema, LI-RADS 1 findings are definitely benign, LI-RADS 2–4 lesions have increasing probability of representing HCC, and LI-RADS 5 lesions are definitely malignant. LI-RADS M refers to ‘probable malignancy’ that is not specific for HCC.25 Initially, LI-RADS was only applicable to CT and MRI. However, in 2016, the ACR incorporated CEUS into the LI-RADS system.40 Other benefits of LI-RADS include consideration of ancillary imaging findings, such as macrovascular invasion or pseudocapsule formation, and inclusion of advanced imaging techniques, such as diffusion-weighted imaging.25

Table 2.

Liver imaging reporting and data system (LI-RADS) for HCC. Adapted from the American College of Radiology.24,40

LI-RADS classDescriptionComment
1BenignCyst, hemangioma, perfusion alteration (e.g., arterioportal shunt), hepatic fat deposition/sparing, hypertrophic pseudomass, confluent fibrosis or focal scar, etc.
OR
It disappears without treatment
2Probably benignSuggestive of a benign entity based on experience, as above
OR
Distinctive nodule without malignant features*
OR
Stable imaging features for ≥2 years
OR
Probable disappearance in the absence of treatment
3Intermediate probability of being benign<2 cm:
Mass-like configuration with arterial-phase hyperenhancement and no additional major features#
OR
Mass-like configuration with arterial phase hypoenhancement and ≤1 additional major feature#
≥2 cm:
Mass-like configuration with arterial phase hypoenhancement and no additional major features#
Any size:
Non-mass-like configuration and neither LR-1 nor LR-2
OR
Cannot be categorized as LR-1, LR-2, LR-4, or LR-5
OR
Meets criteria for LR-4 or LR-5, with stability for ≥2 years
4Probably HCCCategory A (<2 cm):
Mass-like configuration with arterial phase hyperenhancement and 1 additional major feature#
OR
Mass-like configuration with arterial phase iso- or hypoenhancement and 2 additional major features#
OR
Probable tumor within lumen of vein
Category B (≥2 cm):
Mass-like configuration with arterial phase hyperenhancement and no additional major features#
OR
Mass-like configuration with arterial phase iso- or hypoenhancement and 1 or 2 additional major features#
OR
Probable tumor within lumen of vein
5HCCCategory A (≥1 cm but <2 cm):
Mass-like configuration with arterial phase hyperenhancement and 2 additional major features#
OR
Definite tumor within lumen of vein
Category B (≥2 cm):
Mass-like configuration with arterial phase hyperenhancement and 1 or 2 additional major features#
OR
Definite tumor within lumen of vein
*

Solid nodule <20 mm distinctive in imaging appearance compared to background nodules AND with no major feature of HCC, and no ancillary feature of malignancy

#

Additional major features; portal venous phase or later phase hypoenhancement, increase in diameter of at least 1 cm within 1 year

Abbreviations: HCC, hepatocellular carcinoma; LR, LI-RADS.

Staging and treatment for HCC

The earliest attempt to stage patients with HCC was with the tumor-node-metastasis (TNM) classification, which has been clinically validated.41 This method is still the accepted staging system by the American Joint Committee on Cancer (AJCC) and International Union Against Cancer (UICC), and in one study has been demonstrated to be superior to some modern staging systems in terms of prognostic stratification and prediction.42,43 Its major drawback is that it does not account for the severity of underlying liver disease, which is an independent predictor of patient survival in HCC.31,44 As such, the Okuda staging system was developed, incorporating major indices of patient liver function.44,45 The Okuda classification, however, was limited by its inability to classify smaller tumors, when many patients were not diagnosed until more advanced stages of malignancy.44,46 The Cancer of the Liver Italian Program (CLIP) system soon followed, seeking to overcome limitations of both the Okuda and TNM systems by accounting for liver function, tumor morphology, tumor extension in the liver, serum alpha fetoprotein levels and potential vascular invasion.47 It has been externally validated against the Okuda system in a randomized trial.48 However, one shortcoming of the CLIP system is that it does not include patient performance status,46 which is an independent predictor of survival.49

To better account for performance status, the BCLC staging system was published shortly after the CLIP system.50 The BCLC system includes an assessment of liver disease, tumor extension and presence of constitutional symptoms, in addition to offering treatment stratification for each disease stage. It has also demonstrated superior prognostic value when compared to numerous other staging systems.51,52 It has been endorsed by both the European Association for the Study of the Liver (EASL) and the American Association for the Study of Liver Diseases (AASLD).31,53 Another recent classification system of note is the Hong Kong Liver Cancer (HKLC) staging system.54 The major difference between HKLC and BCLC is that the HKLC system offers more aggressive treatment options.54 However, the HKLC system is limited when compared to the BCLC in that it investigated a cohort with primarily HBV-induced cirrhosis.55 Furthermore, the HKLC system has not been externally validated in non-Asian populations, whereas the BCLC system has been validated in numerous studies worldwide.49,56,57 While there is no universally accepted staging system per AASLD guidelines,31 the BCLC staging system is the most widely used and recognized.58,59 As such, it is emerging as the standard staging system in Western populations. The BCLC system will therefore be discussed in more detail below.

BCLC stratifies patients into five groups, from stage 0 to stage D. Stage 0 (very early stage) has a single nodule ≤2 cm without tumor invasion into surrounding tissues, in asymptomatic patients with preserved liver function. Stage A (early disease) is characterized by a solitary HCC of any size, or 3 nodules <3 cm, in asymptomatic patients with Child-Pugh A or B classification. Per BCLC guidelines, stages 0 and A can be treated with curative therapies, such as resection, orthotropic liver transplantation (OLT) and ablation. Resection and OLT result in the best outcomes for BCLC stage A HCC, with 60–80% of patients surviving for 5 years.8 The Milan criteria are an accepted guide to determine suitability for OLT. These require a patient to have either one lesion smaller than 5 cm, or up to three lesions smaller than 3 cm, and no extrahepatic manifestations or vascular invasion.60 A meta-analysis found that patients who met these specifications had better posttransplant survival rates than patients with larger tumor burdens.61 Transplantation eligibility guidelines from the University of California San Francisco Criteria (UCSF) are less restrictive and less widely used than the Milan criteria. The UCSF criteria are as follows: single lesion ≤6.5 cm, or 2–3 lesions of ≤4.5 cm with a total tumor diameter ≤8 cm.62 Some centers reserve ablation for patients who are not operative candidates.

BCLC stage B (intermediate disease) consists of multinodular tumors, without macrovascular invasion or extrahepatic spread, in asymptomatic patients with intact liver function and performance status of 0. Treatment of stage B disease is aimed at palliation rather than cure. Stage B patients may be treated with cTACE, the efficacy of which is supported by level I evidence.11–13,63 Absolute contraindications to TACE include decompensated cirrhosis, extensive tumor replacing both lobes of the liver, uncorrectable coagulopathy, renal insufficiency (creatinine clearance <30 mL/m) and severely reduced portal venous flow.64 Relative contraindications to TACE include tumor size >10 cm, untreated biliary obstruction, untreated varices at high risk of bleeding, active cardiopulmonary dysfunction and an incompetent papilla.64 cTACE utilizes the transcatheter delivery of a high dose chemotherapeutic agent (usually doxorubicin) in an emulsion with ethiodized oil directly into the hepatic arterial supply of the tumor, followed by arterial embolization with particles to prevent washout.65 DEB-TACE involves the transcatheter delivery of chemotherapy-loaded microspheres into the hepatic arterial system supplying the tumor, thereby providing sustained drug delivery in combination with tumor ischemia (Fig. 5).65 A randomized phase II study comparing cTACE and DEB-TACE found that DEB-TACE was associated with a significant reduction in liver toxicity and drug-related adverse effects.66 TAE is another method that involves embolization of vessels supplying the tumor with polyvinyl alcohol particles and/or trisacryl microspheres, in the absence of chemotherapy. In combination with ablation, bland embolization achieves overall survival (OS) rates similar to surgical resection.67 TAE has also been demonstrated to be an effective method of salvage therapy for patients with recurrent HCC after surgical resection.68

57 year-old man with cirrhosis.
Fig. 5.  57 year-old man with cirrhosis.

(A) contrast-enhanced axial CT scan in arterial phase shows a 4.8 cm arterially-enhancing lesion in segment III (white arrow). (B) contrast-enhanced axial CT scan in delayed phase shows the lesion to have characteristic washout and a pseudocapsule (white arrow), confirming the diagnosis of HCC. (C) digital subtraction arteriogram (DSA) image during his DEB-TACE procedure with the microcatheter in the segment III artery (white arrow) shows tumor vascularity in segment III (black arrow). (D) DSA image after treatment by DEB-TACE shows the elimination of tumor vascularity (white arrow). (E) spot radiograph taken after delivering of chemotherapy-labeled beads demonstrates excellent contrast stain in the segment III lesion (white arrow). (F) contrast-enhanced axial CT scan in arterial phase obtained 1 month after DEB-TACE shows no enhancement in the segment III lesion, confirming a complete response to treatment.

Another potential option for palliation of stage B disease is 90Y radioembolization, which delivers high-dose β-emitting radiolabeled microspheres through a microcatheter to the tumor via its hepatic arterial supply.10,69 This technique is superior to external beam therapy in that it lessens the risk of radiation-induced liver disease.10 One advantage of radioembolization over TACE is that the spheres are smaller. Thus, they are not truly embolic to the hepatic arterial supply, which limits the risk of ischemic liver failure in patients with tumor extension into the portal vein.65,70 A phase 2 trial in patients with HCC with and without portal vein thrombosis showed a favorable tumor response rate with radioembolization in patients with portal vein thrombosis.70 Additionally, at least one randomized phase 2 study demonstrated significantly longer time to progression for patients treated with 90Y when compared to those treated with cTACE.71

Patients with either macrovascular invasion or extrahepatic spread or a performance status of 1 or greater are classified as stage C (advanced-stage), for which the standard of care is sorafenib.38 Sorafenib acts by inhibiting multiple kinases, such as Raf-1, B-Raf and the receptor tyrosine kinase activity of vascular endothelial growth factor receptors (VEGFRs) 1, 2, and 3. Sorafenib has been shown to convey survival benefit in patients with advanced HCC.72 However, early case series have shown that TACE can be safely performed for patients with advanced-stage disease.73 In the case of sorafenib failure or intolerance, another option is c-met inhibition, which has several clinical trials underway evaluating agents such as cabozatinib and tivantinib.60 Patients with cancer symptoms related to advanced liver failure, tumor growth with vascular involvement, extrahepatic spread or performance status >2 are classified as stage D (end-stage). The standard of care for stage D is best supportive care.50

Evaluation of the imaging response after liver-directed therapies

After delivery of a liver-directed therapy for HCC, it is crucial to accurately characterize the patient’s response. Consequently, multiple radiologic criteria have been developed to assess tumor response and guide further therapy. The most commonly used criteria will be discussed below and are summarized in Fig. 6.

Multiple axial CT images in arterial phase in a 71 year-old man with HCC who was treated by DEB-TACE that demonstrate the most commonly employed radiologic response criteria.
Fig. 6.  Multiple axial CT images in arterial phase in a 71 year-old man with HCC who was treated by DEB-TACE that demonstrate the most commonly employed radiologic response criteria.

(A) product of the bidimensional measurements of the HCC on CT prior to DEB-TACE is 4.2 cm × 2.7 cm = 11.34. (B) product of the bidimensional measurements of the HCC on CT 1 month after DEB-TACE is 2.7 cm × 2.6 cm = 7.02. This lesion is thus classified as stable disease by WHO criteria because it did not achieve a >50% reduction in size. (C) per RECIST criteria, the longest unidimensional measurement of the HCC on CT prior to TACE is recorded (4.2 cm). (D) on follow-up imaging, the longest unidimensional measurement is 2.7 cm, a >30% decrease in size. This is a partial response by RECIST criteria. (E) product of the bidimensional measurement of the enhancing portion of the HCC on CT prior to DEB-TACE is 4.2 cm × 2.7 cm = 11.34. (F) follow-up imaging demonstrates no residual arterial, a complete response by EASL criteria. (G) per mRECIST criteria, the longest unidimensional measurement of the enhancing portion of the HCC on CT prior to TACE is recorded (4.2 cm). (H) follow-up imaging demonstrates no residual arterial enhancement, a complete response by mRECIST criteria.

WHO

The advent of new cancer therapies necessitated a standard way in which to report treatment response. Subsequently, the WHO created consensus guidelines to allow accurate comparison of clinical trials. These guidelines delineate four categories of response to treatment: complete response (CR), partial response (PR), progressive disease (PD), and stable disease (SD). CR is defined as no measurable disease. PR is defined as a 50% decrease in the sum of the products of the bidimensional lesion diameters and no new disease. PD is defined as a 25% or more increase in size of any lesion or development of new lesions. SD is defined as neither progressive disease nor partial response (Figs. 6A and 6B).15 The WHO system is considered most useful with single lesions and with cytotoxic therapies. Drawbacks include no definition of minimal reportable tumor size, no recommendation on the number of lesions that are to be considered recordable, and inability to characterize lesional enhancement characteristics. Additionally, everyday use was complicated by variation in measurement methodology. Advances in CT and MRI led to more confusion about how to integrate these modalities into the existing system.16

RECIST

The problems with WHO criteria led to the development of RECIST. These guidelines provided direction regarding the timing of baseline imaging (e.g., to be done no more than 4 weeks prior to the initiation of therapy) and the technique of follow-up imaging (e.g., use the same modality or technique that was used for baseline scans). RECIST introduces the concept of ‘measurable disease’ (e.g., >1 cm in size on CT or MRI) and states that the largest and most reproducible lesions should be used as “target lesions” when evaluating response but that no more than five target lesions per organ or more than ten total target lesions from representative organs should be measured and reported. All other sites of disease should be identified as “non-target lesions” on baseline exam and only their presence, progression or absence should be reported on follow-up imaging.16

Like WHO, RECIST is a sized-based response criteria where the sum of the longest unidimensional diameters from all target lesions are measured (Figs. 6C and 6D). In RECIST, CR is defined as disappearance of all target lesions, PR is defined as a 30% decrease in the sum of the unidimensional diameters of all target lesions, PD is defined as a 20% increase in the sum of the unidimensional diameters of all target lesions or the development of any new lesions, and SD is defined as insufficient diameter increase to qualify as PD nor sufficient decrease in diameter to qualify as partial response. RECIST also defines nonmeasurable lesions that include bone lesions, leptomeningeal disease, ascites, pleural/pericardial effusions, inflammatory breast disease, lymphangitis, cystic lesions and abdominal masses that are not confirmed or followed by imaging.

In 2009, RECIST was updated to improve overall usability. RECIST 1.1 changed the number of reportable target lesions per organ from five to two and the total number of target lesions from ten to five. Lymph nodes were allowed to be used as target lesions.74 RECIST 1.1 requires an absolute minimum lesion size increase of >5 mm to preclude overcalling PD when a target lesion is small. The update also includes recommendations on optimal anatomic assessment and PET imaging. The drawbacks of RECIST and RECIST 1.1, like their WHO predecessor, lie in their inability to account for lesion enhancement characteristics. Other poorly addressed tumor response considerations include irregular, confluent or circumferential tumor morphology, asymmetric size changes, and differential lesion response. Moreover, neither WHO nor RECIST guidelines consider new technologies such as multiplanar imaging or volumetric tumor analysis.

EASL

Historically, WHO and RECIST guidelines have been employed in clinical trials, utilizing tumor size as the primary surrogate for treatment response.13,75 Nevertheless, there are limitations to consider when evaluating tumor response based solely on its size. For example, size-based criteria do not take into account the immediate posttherapeutic biologic and metabolic changes in the tumor that affect its viability and influence treatment efficacy.74 Therefore, relying on size alone could have the unintended consequence of misclassifying some therapies as ineffective or suboptimal. This is particularly true for liver-directed therapies such as TACE, which are cytostatic rather than cytotoxic.17,72,76 For example, one study with a cohort of 55 patients who underwent liver-directed therapy for HCC found that RECIST missed all cases of CR and underestimated PR due to tissue necrosis.74 With this in mind, EASL released tumor response criteria in 2000 that included lesion enhancement characteristics and bidirectional measurements (Figs. 6E and 6F).

EASL definitions of CR, PR, PD and SD are consistent with those of the WHO. The key difference is that the EASL system also takes into account enhancement characteristics to distinguish viable tumor from tumor necrosis.53 Viable tumor is defined as CT or MRI arterial phase enhancement. Careful evaluation of the unenhanced images must be taken into account because retained ethiodized oil within the HCC after cTACE may obscure arterial enhancement on CT. This problem is mitigated when MRI is used as it is not subject to obscuration of arterial enhancement from ethiodized oil. Despite the improvement with these guidelines, EASL suffers from similar problems as the WHO system; namely, it provides no definition for concepts such as measureable lesions, target versus non-target lesions, or how to report lymphadenopathy.

Modified (m)RECIST

In 2009, the AASLD and the National Cancer Institute adopted the mRECIST guidelines for use in clinical trials for patients with HCC.77 Like the EASL guidelines, mRECIST is focused on the presence of arterial enhancement within the lesion as a surrogate for viable tumor rather than relying primarily on the lesion’s overall size. mRECIST definitions of CR, PR, PD and SD are consistent with those of RECIST, with the caveat that the unidimensional measurement of any viable tumor on late arterial phase images should not include any intervening areas of tissue necrosis (Figs. 6G and 6F). Similarly, the definitions of measureable lesions, target lesions and nontarget lesions were unchanged from RECIST. However, mRECIST did address the fact that some lesions, such as infiltrative-type HCC, HCC with poor border demarcation and HCC with atypical enhancement patterns, may be difficult to reliably measure and should, therefore, not be used as target lesions. Special considerations in mRECIST include classification of portal vein thrombosis as a nontarget lesion and consideration of porta hepatis lymphadenopathy as malignant if short axis diameter equals or exceeds 2 cm.

Imaging response to liver-directed therapies as a predictor of patient survival

The primary goal of treating patients with HCC is to improve objective measures, such as OS and time-to-progression (TTP), while limiting toxicities and complications from treatment. This necessitates a multidisciplinary approach to patient selection and clinical follow-up after therapy to best identify those who will benefit from continued interventions. While imaging provides an invaluable data point in these decisions, other considerations, including laboratory values and physical performance, should also be part of the discussion. Regardless, the imaging appearance of the lesion after liver-directed therapies is often the driving force of whether or not a patient will be re-treated. This begs the important question of whether posttherapeutic imaging can be used as a reliable predictor of patient outcomes. The following section will outline some of the investigations performed on this topic.

Sala et al.14 retrospectively analyzed the data of 282 consecutive patients who underwent either percutaneous ethanol injection (PEI) (n = 203), radiofrequency ablation (RFA) (n = 49) or combined TAE with PEI (n = 30) as therapy for HCC to determine what, if any, clinical parameters could be used as an independent predictor of patient survival. In this cohort, 197 patients were Child-Pugh A, while 85 were Child-Pugh B. Twenty-four clinical parameters were evaluated as potential predictors of survival and only initial CR to treatment (p = 0.02) and blood urea nitrogen (BUN) (p = 0.027) were independent predictors of survival for patients with Child-Pugh A liver disease. For patients with Child-Pugh B liver disease, only initial CR to treatment (p = 0.014) was an independent predictor of patient survival. More recently, Shim et al.78 performed a retrospective analysis focused on determining which of the commonly employed radiologic response criteria were best at predicting patient outcomes after TACE. In this analysis, the authors selected patients with intermediate stage (BCLC B) HCC and Child-Pugh A liver disease to control for tumor burden and liver function, respectively. Each of the 332 patients were treated with cTACE and follow-up imaging for each patient was analyzed using WHO, RECIST, EASL and mRECIST criteria. The authors found that patients with a CR by enhancement-based criteria (EASL or mRECIST) survived longer than those who had any other type of response. Further, an imaging response by EASL (p < 0.001) and mRECIST (p < 0.001) was found to be an independent predictor of survival. These findings were not true for the size-based criteria of WHO and RECIST.

Similar to this study, Kim et al.79 also did a large retrospective analysis of 314 patients with HCC to evaluate whether any clinical factors could predict patient outcomes. The authors of this study only included patients with intermediate stage (BCLC B) HCC and Child-Pugh A liver disease to limit confounding variables. All patients were treated with cTACE and followed with contrast-enhanced imaging at regular intervals. Responses were only evaluated by mRECIST criteria. Multivariate analysis of this cohort found that both an initial response by mRECIST criteria (p < 0.001; defined as the response on the first follow-up scan) and a best response by mRECIST (p < 0.001; defined as response after on-demand retreatment when necessary) were independent predictors of OS, in addition to tumor size (p = 0.025) and number (p < 0.001). The results of these studies suggest that the enhancement-based criteria are potent predictors of patient outcomes after liver-directed therapies for those with early or intermediate stage HCC.

The efficacy of imaging response criteria for predicting survival for patients with advanced stage HCC is less clear. For example, Prajapati et al.80 performed a retrospective analysis of 120 patients who were treated with DEB-TACE to evaluate which radiologic response criteria could best predict patient survival. Patients with advanced stage liver disease (Child-Pugh C; n = 8) and advanced/end-stage HCC (BCLC C and D; n = 86) were included. A multivariate analysis of this cohort showed that a response by mRECIST criteria was the only independent predictor of survival (p = 0.013), although EASL approached statistical significance (p = 0.064). Neither WHO (p = 0.22) nor RECIST1.1 (p = 0.92) were able to predict patient survival in this study. Yet, Jung et al.81 also included patients with advanced stage (BCLC C), but not end-stage, HCC (n = 23) in their retrospective analysis of 98 patients treated with cTACE. All patients had either Child-Pugh A (n = 77) or Child-Pugh B (n = 21) liver disease. Patients were imaged by either contrast-enhanced CT or MRI in order to assess treatment response. The authors demonstrated that an imaging response as defined by EASL (p < 0.001) or mRECIST (p < 0.001) was an independent predictor of survival by multivariate analysis, in addition to BCLC stage and a baseline alpha fetoprotein of >200 ng/mL.

However, Gunn et al.82 performed a retrospective review in 2017 to evaluate the ability of the various radiologic response criteria to predict outcomes after DEB-TACE for patients with advanced-stage (BCLC C) HCC. This analysis excluded patients with both earlier and later stages of HCC. All patients (n = 75) had either Child-Pugh A (n = 47) or Child-Pugh B (n = 28) liver disease and were followed at regular intervals postDEB-TACE by either contrast-enhanced CT or MRI. Unlike the above-mentioned studies, the authors found that neither WHO, RECIST, EASL or mRECIST were accurate predictors of OS or TTP. This finding raises the question of the value of the radiologic response criteria in this specific set of patients. For example, many of these patients will have extrahepatic disease or main portal vein invasion, which could affect their OS, but are not sufficiently treated when patients are receiving liver-directed therapies as their sole treatment for HCC. Certainly, larger studies are needed to verify these findings.

Future directions in imaging for HCC

Progress in technology and characterization of HCC has allowed a radiologic diagnosis to supplant the requirement of a tissue specimen prior to therapy. Despite these advances, there continues to be significant interest in ways to improve the diagnostic capabilities of imaging in HCC and some of these are discussed in brief below.

Volumetrics

Volumetric tumor assessment is a relatively new method of assessing response.83,84 In a study that included 122 patients with HCC, quantitative 3D analysis was performed of the dominant tumor to calculate enhancing tumor volume and was compared to tumor diameter in assessment of treatment response.85 Tumor volume was found to be a better predictor of survival than measurement of tumor diameter. Methods have been described to measure tumor volume and enhancement pattern on a voxel-by-voxel basis utilizing a semi-automatic tumor segmentation.86,87 HCC tumor volumes, enhancement of the entire tumor volume and percentage of enhancing tumor volume are used to determine a quantitative EASL (qEASL) and volumetric RECIST (vRECIST).79 Volumetric measurements have been shown to be more predictive of survival, better predictors of tumor size changes, and more reproducible than traditional imaging.87–89 Apart from enhancement, quantitative assessment of diffusion-weighted MRI has also been used to predict response as a measure of tumor necrosis, referred to as quantitative apparent diffusion coefficient (qADC).87 3D volumetric analysis continues to be a priority in ongoing research. Presently, mRECIST does not directly employ tumor volume in assessment of tumor response. However, direct volumetric measurements should be priority in future clinical trials.

Dual-energy (DE)CT

DECT is used to visualize and quantify iodine-related density differences in tissue.89,90 This is significant in HCC as retained ethiodized oil after cTACE can make it difficult to detect contrast enhancement inside a viable tumor. Moreover, it has been shown that iodine concentration as measured with DECT can be used as surrogate marker for perfusion.91 Therefore, DECT is a promising method for assessing the efficacy of liver-directed therapies utilized in the treatment of patients with HCC. For example, one small prospective study evaluated the ability of DECT to categorize response to 90Y radioembolization in 40 patients with HCC.92 The authors found that DECT classified more patients as SD and PR from the PD and SD categorizations, respectively, of the more established AASLD and Choi criteria. The authors attributed this change in categorization to the ability of DECT to identify contrast-enhancement compared to traditional multiphase CT. Another small study found that iodine uptake in HCC measured on DECT evaluated disease control in a manner consistent with AASLD; although, this study was based on 15 patients treated with sorafenib rather than locoregional therapy.89

Cone beam (CB)CT

The role of cone beam CT (CBCT) for the intraprocedural detection of HCC and assistance in vessel navigation during TACE or radioembolization is relatively is well-established.93–96 Yet, the question remains whether CBCT can be utilized for more than the facilitation of treatment. For example, the intratumoral deposition of ethiodized oil within HCC during cTACE is correlated to tumor necrosis and inversely related to local tumor recurrence.97,98 Additionally, CBCT has been shown to be as accurate as traditional multidetector CT99 and more accurate than fluoroscopy100 in its ability to detect ethiodized oil in HCC after cTACE. Therefore, CBCT could potentially be used intraprocedurally to quantify the amount of treatment deposited within the tumor and be used as a surrogate for treatment adequacy and response. Such a use may have the benefit of reducing the delay between treatment and assessment of treatment response, influencing intraprocedural treatment decisions. This is supported by at least one study in which the authors examined the ability of intraprocedural CBCT to accurately predict treatment response in 29 patients with HCC treated by DEB-TACE, in comparison to multiphase MRIs obtained at 1 month after therapy.101 In this study, CBCT was effective in predicting tumor response on follow-up MRIs according to EASL criteria.

An additional benefit of CBCT is that software advances have enabled quantitative perfusion measurements, such as parenchymal blood volume and dual-phase CBCT, which may represent new means to assess tumor response to treatment. Muller et al.102 attempted to assess the effectiveness of quantitative perfusion measurements at predicting response to TACE in HCC. In this analysis of 59 tumors in 43 patients treated with either cTACE or DEB-TACE, the authors concluded that computational features extracted from CBCT, such as mean enhancement, washout ratio and 3D tumor enhancement volume, were overall poor prognosticators of HCC response to TACE. An important limitation of this approach is interinstitutional variability in CBCT software and the difficulties associated with obtaining proprietary software.

Perfusion

CT perfusion (CTP) is an intriguing modality for patients with HCC because treatment response is often related to the early changes in perfusion that occur with embolic locoregional therapies, such as TACE.103,104 CTP is analyzed using software packages that can produce a variety of parameters, such as blood flow, blood volume, hepatic arterial liver perfusion (HAP), hepatic portal perfusion (HPP) and hepatic arterial perfusion index (HAPI). Su et al.105 found that HAP, HAPI and HPP values may be useful predictors of treatment response to TACE. Tamandl et al.106 conducted a prospective study investigating whether CTP performed at 1 day postTACE could predict early response to TACE for HCC when compared to assessment with 6-week imaging using mRECIST criteria. The study enrolled 16 patients, with median follow-up of 19 months, and found that CTP could detect CR and PR within 1 day of treatment. Others have proposed utilizing pretreatment CTP to predict response to locoregional therapies. Reiner et al.107 performed a retrospective study of 16 patients who underwent radioembolization for HCC. HAP values were analyzed on pretreatment CTP images and then voxel-by-voxel histograms of the HAP values for each lesion were created and results were compared to findings on posttreatment imaging using mRECIST criteria. The study determined that mean HAP values of target lesions did not show significant differences between responders and nonresponders. It also showed that the coefficient of variation for histogram analysis of the lesions, a metric that represents tumor heterogeneity, was not significantly different between responders and nonresponders. The study did demonstrate, however, that tumors with higher HAP values for the 75th and 50th percentiles (representing increased vascularization) were significantly higher in responders.

Conclusions

The incidence of HCC is growing worldwide. A radiologic diagnosis of HCC is considered definitive as long as established criteria are followed. Patients have a variety of treatment options depending on their stage of disease. Enhancement-based radiologic response criteria, such as EASL and mRECIST, are key in assessing treatment response and predicting patient survival even though many emerging imaging technologies have shown promise in HCC.

Abbreviations

AASLD: 

American Association for the Study of Liver Diseases

ACR: 

American College of Radiology

ADC: 

apparent diffusion coefficient

AJCC: 

American Joint Committee on Cancer

BCLC: 

Barcelona Clinic Liver Cancer

BUN: 

blood urea nitrogen

CBCT: 

cone beam computed tomography

CEUS: 

contrast-enhanced ultrasound

CLIP: 

Cancer of the Liver Italian Program

CR: 

complete response

CT: 

computed tomography

cTACE: 

conventional transarterial chemoembolization

CTP: 

computed tomography perfusion

DEB-TACE: 

drug-eluting bead transarterial chemoembolization

DECT: 

dual energy computed tomography

EASL: 

European Association for the Study of the Liver

FDA: 

Food and Drug Administration

FDG: 

fludeoxyglucose

HAP: 

hepatic arterial liver perfusion

HAPI: 

hepatic arterial perfusion index

HBV: 

hepatitis B virus

HCC: 

hepatocellular carcinoma

HCV: 

hepatitis C virus

HKLC: 

Hong Kong liver cancer

HPP: 

hepatic portal perfusion

IUCC: 

International Union Against Cancer

LI-RADS: 

liver imaging reporting and data system

MELD: 

model for end-stage liver disease

mRECIST: 

modified Response Evaluation Criteria in Solid Tumors

MRI: 

magnetic resonance imaging

NASH: 

nonalcoholic steatohepatitis

OLT: 

orthotopic liver transplant

OPTN: 

Organ Procurement and Transplantation Network

OS: 

overall survival

PD: 

progressive disease

PEI: 

percutaneous ethanol injection

PET: 

positron emission tomography

PR: 

partial response

qADC: 

quantitative apparent diffusion coefficient

qEASL: 

quantitative European Association for the Study of the Liver

RECIST: 

Response Evaluation Criteria in Solid Tumors

RFA: 

radiofrequency ablation

SD: 

stable disease

TAE: 

bland transarterial embolization

TNM: 

tumor-node-metastasis

TTP: 

time-to-progression

VEGFR: 

vascular endothelial growth factor receptor

vRECIST: 

volumetric Response Evaluation Criteria in Solid Tumors

UCSF: 

University of California at San Francisco

UNOS: 

United Network for Organ Sharing

WHO: 

World Health Organization

90Y: 

yttrium-90

Declarations

Conflict of interest

The authors have no conflict of interests related to this publication.

Authors’ contributions

Contributed to literature search, writing the primary draft (PVL), editing and manuscript review (AKAA), literature search, writing the primary draft (SK), image acquisition and design, concept design, editing and manuscript review (JGZ), concept design, supervision, editing and writing of final draft (AJG).

References

  1. El-Serag HB. Hepatocellular carcinoma. N Engl J Med 2011;365:1118-1127 View Article
  2. Singal AG, El-Serag HB. Hepatocellular carcinoma from epidemiology to prevention: translating knowledge into practice. Clin Gastroenterol Hepatol 2015;13:2140-2151 View Article
  3. El-Serag HB, Davila JA, Petersen NJ, McGlynn KA. The continuing increase in the incidence of hepatocellular carcinoma in the United States: an update. Ann Intern Med 2003;139:817-823 View Article
  4. Hernaez R, El-Serag HB. Hepatocellular carcinoma surveillance: The road ahead. Hepatology 2017;65:771-773 View Article
  5. Bosetti C, Turati F, La Vecchia C. Hepatocellular carcinoma epidemiology. Best Pract Res Clin Gastroenterol 2014;28:753-770 View Article
  6. Forner A, Llovet JM, Bruix J. Hepatocellular carcinoma. Lancet 2012;379:1245-1255 View Article
  7. Njei B, Rotman Y, Ditah I, Lim JK. Emerging trends in hepatocellular carcinoma incidence and mortality. Hepatology 2015;61:191-199 View Article
  8. Bruix J, Reig M, Sherman M. Evidence-based diagnosis, staging, and treatment of patients with hepatocellular carcinoma. Gastroenterology 2016;150:835-853 View Article
  9. Pesapane F, Nezami N, Patella F, Geschwind JF. New concepts in embolotherapy of HCC. Med Oncol 2017;34:58 View Article
  10. Molvar C, Lewandowski RJ. Intra-arterial therapies for liver masses: data distilled. Radiol Clin North Am 2015;53:973-984 View Article
  11. Llovet JM, Real MI, Montaña X, Planas R, Coll S, Aponte J. Arterial embolisation or chemoembolisation versus symptomatic treatment in patients with unresectable hepatocellular carcinoma: a randomised controlled trial. Lancet 2002;359:1734-1739 View Article
  12. Cammà C, Schepis F, Orlando A, Albanese M, Shahied L, Trevisani F. Transarterial chemoembolization for unresectable hepatocellular carcinoma: meta-analysis of randomized controlled trials. Radiology 2002;224:47-54 View Article
  13. EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 2012;56:908-943 View Article
  14. Sala M, Llovet JM, Vilana R, Bianchi L, Solé M, Ayuso C. Initial response to percutaneous ablation predicts survival in patients with hepatocellular carcinoma. Hepatology 2004;40:1352-1360 View Article
  15. Miller AB, Hoogstraten B, Staquet M, Winkler A. Reporting results of cancer treatment. Cancer 1981;47:207-214 View Article
  16. Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 2000;92:205-216 View Article
  17. Shepherd FA, Rodrigues Pereira J, Ciuleanu T, Tan EH, Hirsh V, Thongprasert S. Erlotinib in previously treated non-small-cell lung cancer. N Engl J Med 2005;353:123-132 View Article
  18. Leoni S, Piscaglia F, Golfieri R, Camaggi V, Vidili G, Pini P. The impact of vascular and nonvascular findings on the noninvasive diagnosis of small hepatocellular carcinoma based on the EASL and AASLD criteria. Am J Gastroenterol 2010;105:599-609 View Article
  19. Choi JY, Lee JM, Sirlin CB. CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part I. Development, growth, and spread: key pathologic and imaging aspects. Radiology 2014;272:635-654 View Article
  20. Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology 2010;254:47-66 View Article
  21. Seçil M, Obuz F, Altay C, Gencel O, Iğci E, Sağol O. The role of dynamic subtraction MRI in detection of hepatocellular carcinoma. Diagn Interv Radiol 2008;14:200-204
  22. Colli A, Fraquelli M, Casazza G, Massironi S, Colucci A, Conte D. Accuracy of ultrasonography, spiral CT, magnetic resonance, and alpha-fetoprotein in diagnosing hepatocellular carcinoma: a systematic review. Am J Gastroenterol 2006;101:513-523 View Article
  23. Lee YJ, Lee JM, Lee JS, Lee HY, Park BH, Kim YH. Hepatocellular carcinoma: diagnostic performance of multidetector CT and MR imaging-a systematic review and meta-analysis. Radiology 2015;275:97-109 View Article
  24. Barr DC, Hussain HK. MR imaging in cirrhosis and hepatocellular carcinoma. Magn Reson Imaging Clin N Am 2014;22:315-335 View Article
  25. Liver imaging reporting and data system (LI-RADS) v2014. Available from: https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS/LI-RADS-v2014
  26. Goodwin MD, Dobson JE, Sirlin CB, Lim BG, Stella DL. Diagnostic challenges and pitfalls in MR imaging with hepatocyte-specific contrast agents. Radiographics 2011;31:1547-1568 View Article
  27. Seale MK, Catalano OA, Saini S, Hahn PF, Sahani DV. Hepatobiliary-specific MR contrast agents: role in imaging the liver and biliary tree. Radiographics 2009;29:1725-1748 View Article
  28. Yu JS, Kim KW, Kim EK, Lee JT, Yoo HS. Contrast enhancement of small hepatocellular carcinoma: usefulness of three successive early image acquisitions during multiphase dynamic MR imaging. AJR Am J Roentgenol 1999;173:597-604 View Article
  29. Forner A, Vilana R, Ayuso C, Bianchi L, Solé M, Ayuso JR. Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: Prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma. Hepatology 2008;47:97-104 View Article
  30. Bruix J, Sherman M. Management of hepatocellular carcinoma: an update. Hepatology 2011;53:1020-1022 View Article
  31. Bruix J, Sherman M. Management of hepatocellular carcinoma. Hepatology 2005;42:1208-1236 View Article
  32. Rimola J, Forner A, Tremosini S, Reig M, Vilana R, Bianchi L. Non-invasive diagnosis of hepatocellular carcinoma ≤2 cm in cirrhosis. Diagnostic accuracy assessing fat, capsule and signal intensity at dynamic MRI. J Hepatol 2012;56:1317-1323 View Article
  33. Hennedige T, Venkatesh SK. Imaging of hepatocellular carcinoma: diagnosis, staging and treatment monitoring. Cancer Imaging 2013;12:530-547 View Article
  34. Shah ZK, McKernan MG, Hahn PF, Sahani DV. Enhancing and expansile portal vein thrombosis: value in the diagnosis of hepatocellular carcinoma in patients with multiple hepatic lesions. AJR Am J Roentgenol 2007;188:1320-1323 View Article
  35. Friedrich-Rust M, Klopffleisch T, Nierhoff J, Herrmann E, Vermehren J, Schneider MD. Contrast-Enhanced Ultrasound for the differentiation of benign and malignant focal liver lesions: a meta-analysis. Liver Int 2013;33:739-755 View Article
  36. Claudon M, Dietrich CF, Choi BI, Cosgrove DO, Kudo M, Nolsøe CP. Guidelines and good clinical practice recommendations for Contrast Enhanced Ultrasound (CEUS) in the liver - update 2012: A WFUMB-EFSUMB initiative in cooperation with representatives of AFSUMB, AIUM, ASUM, FLAUS and ICUS. Ultrasound Med Biol 2013;39:187-210 View Article
  37. Park JW, Kim JH, Kim SK, Kang KW, Park KW, Choi JI. A prospective evaluation of 18F-FDG and 11C-acetate PET/CT for detection of primary and metastatic hepatocellular carcinoma. J Nucl Med 2008;49:1912-1921 View Article
  38. Organ procurement and transplantation: assessing current policies and the potential impact of the DHHS final rule. Washington, DC: The National Academies Press; 1999 View Article
  39. Wald C, Russo MW, Heimbach JK, Hussain HK, Pomfret EA, Bruix J. New OPTN/UNOS policy for liver transplant allocation: standardization of liver imaging, diagnosis, classification, and reporting of hepatocellular carcinoma. Radiology 2013;266:376-382 View Article
  40. CEUS LI-RADS 2016. Available from: https://www.acr.org/-/media/ACR/Files/RADS/LI-RADS/CEUS-LIRADS_V3.pdf?la=en
  41. Kee KM, Wang JH, Lee CM, Chen CL, Changchien CS, Hu TH. Validation of clinical AJCC/UICC TNM staging system for hepatocellular carcinoma: analysis of 5,613 cases from a medical center in southern Taiwan. Int J Cancer 2007;120:2650-2655 View Article
  42. Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol 2010;17:1471-1474 View Article
  43. Lu W, Dong J, Huang Z, Guo D, Liu Y, Shi S. Comparison of four current staging systems for Chinese patients with hepatocellular carcinoma undergoing curative resection: Okuda, CLIP, TNM and CUPI. J Gastroenterol Hepatol 2008;23:1874-1878 View Article
  44. Maida M, Orlando E, Cammà C, Cabibbo G. Staging systems of hepatocellular carcinoma: a review of literature. World J Gastroenterol 2014;20:4141-4150 View Article
  45. Okuda K, Obata H, Nakajima Y, Ohtsuki T, Okazaki N, Ohnishi K. Prognosis of primary hepatocellular carcinoma. Hepatology 1984;4:3S-6S View Article
  46. Addissie BD, Roberts LR. Classification and staging of hepatocellular carcinoma: an aid to clinical decision-making. Clin Liver Dis 2015;19:277-294 View Article
  47. A new prognostic system for hepatocellular carcinoma: a retrospective study of 435 patients: the Cancer of the Liver Italian Program (CLIP) investigators. Hepatology 1998;28:751-755 View Article
  48. The Cancer of the Liver Italian Program (CLIP) Investigators. Hepatology 2000;31:840-845 View Article
  49. Marrero JA, Fontana RJ, Barrat A, Askari F, Conjeevaram HS, Su GL. Prognosis of hepatocellular carcinoma: comparison of 7 staging systems in an American cohort. Hepatology 2005;41:707-716 View Article
  50. Llovet JM, Brú C, Bruix J. Prognosis of hepatocellular carcinoma: the BCLC staging classification. Semin Liver Dis 1999;19:329-338 View Article
  51. Guglielmi A, Ruzzenente A, Pachera S, Valdegamberi A, Sandri M, D’Onofrio M. Comparison of seven staging systems in cirrhotic patients with hepatocellular carcinoma in a cohort of patients who underwent radiofrequency ablation with complete response. Am J Gastroenterol 2008;103:597-604 View Article
  52. Cillo U, Bassanello M, Vitale A, Grigoletto FA, Burra P, Fagiuoli S. The critical issue of hepatocellular carcinoma prognostic classification: which is the best tool available?. J Hepatol 2004;40:124-131 View Article
  53. Bruix J, Sherman M, Llovet JM, Beaugrand M, Lencioni R, Burroughs AK. Clinical management of hepatocellular carcinoma. Conclusions of the Barcelona-2000 EASL conference. European Association for the Study of the Liver. J Hepatol 2001;35:421-430 View Article
  54. Yau T, Tang VY, Yao TJ, Fan ST, Lo CM, Poon RT. Development of Hong Kong Liver Cancer staging system with treatment stratification for patients with hepatocellular carcinoma. Gastroenterology 2014;146:1691-1700.e3 View Article
  55. Kinoshita A, Onoda H, Fushiya N, Koike K, Nishino H, Tajiri H. Staging systems for hepatocellular carcinoma: Current status and future perspectives. World J Hepatol 2015;7:406-424 View Article
  56. Cillo U, Vitale A, Grigoletto F, Farinati F, Brolese A, Zanus G. Prospective validation of the Barcelona Clinic Liver Cancer staging system. J Hepatol 2006;44:723-731 View Article
  57. Wang JH, Changchien CS, Hu TH, Lee CM, Kee KM, Lin CY. The efficacy of treatment schedules according to Barcelona Clinic Liver Cancer staging for hepatocellular carcinoma - Survival analysis of 3892 patients. Eur J Cancer 2008;44:1000-1006 View Article
  58. Marrero JA, Kudo M, Bronowicki JP. The challenge of prognosis and staging for hepatocellular carcinoma. Oncologist 2010;15:23-33 View Article
  59. Meier V, Ramadori G. Clinical staging of hepatocellular carcinoma. Dig Dis 2009;27:131-141 View Article
  60. Dhir M, Melin AA, Douaiher J, Lin C, Zhen WK, Hussain SM. A review and update of treatment options and controversies in the management of hepatocellular carcinoma. Ann Surg 2016;263:1112-1125 View Article
  61. Mazzaferro V, Bhoori S, Sposito C, Bongini M, Langer M, Miceli R. Milan criteria in liver transplantation for hepatocellular carcinoma: an evidence-based analysis of 15 years of experience. Liver Transpl 2011;17:S44-S57 View Article
  62. Karakayali H, Moray G, Sozen H, Dalgic A, Emiroglu R, Haberal M. Expanded criteria for liver transplantation in patients with hepatocellular carcinoma. Transplant Proc 2006;38:575-578 View Article
  63. Llovet JM, Bruix J. Systematic review of randomized trials for unresectable hepatocellular carcinoma: Chemoembolization improves survival. Hepatology 2003;37:429-442 View Article
  64. Kumar Y, Sharma P, Bhatt N, Hooda K. Transarterial therapies for hepatocellular carcinoma: a comprehensive review with current updates and future directions. Asian Pac J Cancer Prev 2016;17:473-478 View Article
  65. Salem R, Lewandowski RJ. Chemoembolization and radioembolization for hepatocellular carcinoma. Clin Gastroenterol Hepatol 2013;11:604-611 View Article
  66. Lammer J, Malagari K, Vogl T, Pilleul F, Denys A, Watkinson A. Prospective randomized study of doxorubicin-eluting-bead embolization in the treatment of hepatocellular carcinoma: results of the PRECISION V study. Cardiovasc Intervent Radiol 2010;33:41-52 View Article
  67. Maluccio M, Covey AM, Gandhi R, Gonen M, Getrajdman GI, Brody LA. Comparison of survival rates after bland arterial embolization and ablation versus surgical resection for treating solitary hepatocellular carcinoma up to 7 cm. J Vasc Interv Radiol 2005;16:955-961 View Article
  68. Covey AM, Maluccio MA, Schubert J, BenPorat L, Brody LA, Sofocleous CT. Particle embolization of recurrent hepatocellular carcinoma after hepatectomy. Cancer 2006;106:2181-2189 View Article
  69. Lencioni R. Loco-regional treatment of hepatocellular carcinoma. Hepatology 2010;52:762-773 View Article
  70. Kulik LM, Carr BI, Mulcahy MF, Lewandowski RJ, Atassi B, Ryu RK. Safety and efficacy of 90Y radiotherapy for hepatocellular carcinoma with and without portal vein thrombosis. Hepatology 2008;47:71-81 View Article
  71. Salem R, Gordon AC, Mouli S, Hickey R, Kallini J, Gabr A. Y90 radioembolization significantly prolongs time to progression compared with chemoembolization in patients with hepatocellular carcinoma. Gastroenterology 2016;151:1155-1163.e2 View Article
  72. Llovet JM, Ricci S, Mazzaferro V, Hilgard P, Gane E, Blanc JF. Sorafenib in advanced hepatocellular carcinoma. N Engl J Med 2008;359:378-390 View Article
  73. Kalva SP, Pectasides M, Liu R, Rachamreddy N, Surakanti S, Yeddula K. Safety and effectiveness of chemoembolization with drug-eluting beads for advanced-stage hepatocellular carcinoma. Cardiovasc Intervent Radiol 2014;37:381-387 View Article
  74. Forner A, Ayuso C, Varela M, Rimola J, Hessheimer AJ, de Lope CR. Evaluation of tumor response after locoregional therapies in hepatocellular carcinoma: are response evaluation criteria in solid tumors reliable?. Cancer 2009;115:616-623 View Article
  75. Lo CM, Ngan H, Tso WK, Liu CL, Lam CM, Poon RT. Randomized controlled trial of transarterial lipiodol chemoembolization for unresectable hepatocellular carcinoma. Hepatology 2002;35:1164-1171 View Article
  76. Hudes G, Carducci M, Tomczak P, Dutcher J, Figlin R, Kapoor A. Temsirolimus, interferon alfa, or both for advanced renal-cell carcinoma. N Engl J Med 2007;356:2271-2281 View Article
  77. Lencioni R, Llovet JM. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 2010;30:52-60 View Article
  78. Shim JH, Lee HC, Kim SO, Shin YM, Kim KM, Lim YS. Which response criteria best help predict survival of patients with hepatocellular carcinoma following chemoembolization? A validation study of old and new models. Radiology 2012;262:708-718 View Article
  79. Kim BK, Kim SU, Kim KA, Chung YE, Kim MJ, Park MS. Complete response at first chemoembolization is still the most robust predictor for favorable outcome in hepatocellular carcinoma. J Hepatol 2015;62:1304-1310 View Article
  80. Prajapati HJ, Spivey JR, Hanish SI, El-Rayes BF, Kauh JS, Chen Z. mRECIST and EASL responses at early time point by contrast-enhanced dynamic MRI predict survival in patients with unresectable hepatocellular carcinoma (HCC) treated by doxorubicin drug-eluting beads transarterial chemoembolization (DEB TACE). Ann Oncol 2013;24:965-973 View Article
  81. Jung ES, Kim JH, Yoon EL, Lee HJ, Lee SJ, Suh SJ. Comparison of the methods for tumor response assessment in patients with hepatocellular carcinoma undergoing transarterial chemoembolization. J Hepatol 2013;58:1181-1187 View Article
  82. Gunn AJ, Sheth RA, Luber B, Huynh MH, Rachamreddy NR, Kalva SP. Predicting outcomes after chemo-embolization in patients with advanced-stage hepatocellular carcinoma: an evaluation of different radiologic response criteria. Cardiovasc Intervent Radiol 2017;40:61-68 View Article
  83. Galizia MS, Töre HG, Chalian H, McCarthy R, Salem R, Yaghmai V. MDCT necrosis quantification in the assessment of hepatocellular carcinoma response to yttrium 90 radioembolization therapy: comparison of two-dimensional and volumetric techniques. Acad Radiol 2012;19:48-54 View Article
  84. Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Zhao Y. 3D Quantitative tumour burden analysis in patients with hepatocellular carcinoma before TACE: comparing single-lesion vs. multi-lesion imaging biomarkers as predictors of patient survival. Eur Radiol 2016;26:3243-3252 View Article
  85. Lin M, Pellerin O, Bhagat N, Rao PP, Loffroy R, Ardon R. Quantitative and volumetric European Association for the Study of the Liver and Response Evaluation Criteria in Solid Tumors measurements: feasibility of a semiautomated software method to assess tumor response after transcatheter arterial chemoembolization. J Vasc Interv Radiol 2012;23:1629-1637 View Article
  86. Chapiro J, Wood LD, Lin M, Duran R, Cornish T, Lesage D. Radiologic-pathologic analysis of contrast-enhanced and diffusion-weighted MR imaging in patients with HCC after TACE: diagnostic accuracy of 3D quantitative image analysis. Radiology 2014;273:746-758 View Article
  87. Zhao B, James LP, Moskowitz CS, Guo P, Ginsberg MS, Lefkowitz RA. Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer. Radiology 2009;252:263-272 View Article
  88. Baghi M, Bisdas S, Engels K, Yousefi M, Wagenblast J, Hambek M. Prognostic relevance of volumetric analysis in tumour specimens of hypopharyngeal cancer. Clin Otolaryngol 2007;32:372-377 View Article
  89. Dai X, Schlemmer HP, Schmidt B, Höh K, Xu K, Ganten TM. Quantitative therapy response assessment by volumetric iodine-uptake measurement: initial experience in patients with advanced hepatocellular carcinoma treated with sorafenib. Eur J Radiol 2013;82:327-334 View Article
  90. Apfaltrer P, Meyer M, Meier C, Henzler T, Barraza JM, Dinter DJ. Contrast-enhanced dual-energy CT of gastrointestinal stromal tumors: is iodine-related attenuation a potential indicator of tumor response?. Invest Radiol 2012;47:65-70 View Article
  91. Thaiss WM, Haberland U, Kaufmann S, Spira D, Thomas C, Nikolaou K. Iodine concentration as a perfusion surrogate marker in oncology: Further elucidation of the underlying mechanisms using Volume Perfusion CT with 80 kVp. Eur Radiol 2016;26:2929-2936 View Article
  92. Altenbernd J, Wetter A, Forsting M, Umutlu L. Treatment response after radioembolisation in patients with hepatocellular carcinoma-An evaluation with dual energy computed-tomography. Eur J Radiol Open 2016;3:230-235 View Article
  93. Miyayama S, Yamashiro M, Okuda M, Yoshie Y, Sugimori N, Igarashi S. Usefulness of cone-beam computed tomography during ultraselective transcatheter arterial chemoembolization for small hepatocellular carcinomas that cannot be demonstrated on angiography. Cardiovasc Intervent Radiol 2009;32:255-264 View Article
  94. Tognolini A, Louie JD, Hwang GL, Hofmann LV, Sze DY, Kothary N. Utility of C-arm CT in patients with hepatocellular carcinoma undergoing transhepatic arterial chemoembolization. J Vasc Interv Radiol 2010;21:339-347 View Article
  95. Iwazawa J, Ohue S, Mitani T, Abe H, Hashimoto N, Hamuro M. Identifying feeding arteries during TACE of hepatic tumors: comparison of C-arm CT and digital subtraction angiography. AJR Am J Roentgenol 2009;192:1057-1063 View Article
  96. Iwazawa J, Ohue S, Hashimoto N, Muramoto O, Mitani T. Survival after C-arm CT-assisted chemoembolization of unresectable hepatocellular carcinoma. Eur J Radiol 2012;81:3985-3992 View Article
  97. Monsky WL, Kim I, Loh S, Li CS, Greasby TA, Deutsch LS. Semiautomated segmentation for volumetric analysis of intratumoral ethiodol uptake and subsequent tumor necrosis after chemoembolization. AJR Am J Roentgenol 2010;195:1220-1230 View Article
  98. Takayasu K, Muramatsu Y, Maeda T, Iwata R, Furukawa H, Muramatsu Y. Targeted transarterial oily chemoembolization for small foci of hepatocellular carcinoma using a unified helical CT and angiography system: analysis of factors affecting local recurrence and survival rates. AJR Am J Roentgenol 2001;176:681-688 View Article
  99. Chen R, Geschwind JF, Wang Z, Tacher V, Lin M. Quantitative assessment of lipiodol deposition after chemoembolization: comparison between cone-beam CT and multidetector CT. J Vasc Interv Radiol 2013;24:1837-1844 View Article
  100. Hu J, Maybody M, Cao G, Wang X, Chen H, Zhu X. Lipiodol retention pattern assessed by cone beam computed tomography during conventional transarterial chemoembolization of hepatocellular carcinoma: accuracy and correlation with response. Cancer Imaging 2016;16:32 View Article
  101. Loffroy R, Lin M, Yenokyan G, Rao PP, Bhagat N, Noordhoek N. Intraprocedural C-arm dual-phase cone-beam CT: can it be used to predict short-term response to TACE with drug-eluting beads in patients with hepatocellular carcinoma?. Radiology 2013;266:636-648 View Article
  102. Müller K, Datta S, Gehrisch S, Ahmad M, Mohammed MA, Rosenberg J. The role of dual-phase cone-beam CT in predicting short-term response after transarterial chemoembolization for hepatocellular carcinoma. J Vasc Interv Radiol 2017;28:238-245 View Article
  103. Frampas E, Lassau N, Zappa M, Vullierme MP, Koscielny S, Vilgrain V. Advanced Hepatocellular Carcinoma: early evaluation of response to targeted therapy and prognostic value of Perfusion CT and Dynamic Contrast Enhanced-Ultrasound. Preliminary results. Eur J Radiol 2013;82:e205-e211 View Article
  104. Ippolito D, Bonaffini PA, Ratti L, Antolini L, Corso R, Fazio F. Hepatocellular carcinoma treated with transarterial chemoembolization: dynamic perfusion-CT in the assessment of residual tumor. World J Gastroenterol 2010;16:5993-6000
  105. Su TH, He W, Jin L, Chen G, Xiao GW. Early response of hepatocellular carcinoma to chemoembolization: volume computed tomography liver perfusion imaging as a short-term response predictor. J Comput Assist Tomogr 2017;41:315-320 View Article
  106. Tamandl D, Waneck F, Sieghart W, Unterhumer S, Kölblinger C, Baltzer P. Early response evaluation using CT-perfusion one day after transarterial chemoembolization for HCC predicts treatment response and long-term disease control. Eur J Radiol 2017;90:73-80 View Article
  107. Reiner CS, Gordic S, Puippe G, Morsbach F, Wurnig M, Schaefer N. Histogram analysis of CT perfusion of hepatocellular carcinoma for predicting response to transarterial radioembolization: value of tumor heterogeneity assessment. Cardiovasc Intervent Radiol 2016;39:400-408 View Article
Copyright © 2018 Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Journal of Clinical and Translational Hepatology
  • pISSN 2225-0719
  • eISSN 2310-8819

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Hepatocellular Carcinoma: Diagnosis, Treatment Algorithms, and Imaging Appearance after Transarterial Chemoembolization

Patrick Vande Lune, Ahmed K. Abdel Aal, Sergio Klimkowski, Jessica G. Zarzour, Andrew J. Gunn
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