Evidence map›Paper›PMID 42207294›Full record

ReviewAbdominal radiology (New York)2026

Review of systemic therapy in HCC with an approach to response assessment in clinical practice.

Kevin A Zand, Tae-Hyung Kim, Reetu Mukherji, Mohammed Ismail, Maria El Homsi, Amir Imanzadeh, Amita Kamath, Charanjeet Singh, Joseph H Yacoub

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kevin A ZandDepartment of Radiology, MedStar Georgetown University Hospital, Washington D.C., USA. zandmd@gmail.com.
Tae-Hyung KimDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
Reetu MukherjiDivision of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Center, Washington D.C., USA.
Mohammed IsmailDepartment of Radiology, The Ohio State University Wexner Medical Center, Columbus, USA.
Maria El HomsiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
Amir ImanzadehDepartment of Radiological Sciences, University of California, Irvine, Irvine, USA.
Amita KamathDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Charanjeet SinghDepartment of Radiology, University of Colorado Anschutz Medical Campus, Aurora, USA.
Joseph H YacoubDepartment of Radiology, MedStar Georgetown University Hospital, Washington D.C., USA. Joseph.H.Yacoub@medstar.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic therapy for hepatocellular carcinoma (HCC) has undergone rapid transformation over the past decade, significantly expanding treatment options and improving survival for patients with advanced disease. Guided by the Barcelona Clinic Liver Cancer staging system, systemic therapy is primarily indicated for advanced-stage HCC and select intermediate-stage cases with preserved liver function. Immune checkpoint inhibitor-based combination regimens have redefined first-line therapy, demonstrating substantial improvements in overall survival and response rates. As systemic and locoregional treatments increasingly converge, radiologists are encountering more complex imaging scenarios requiring nuanced interpretation. Assessment of treatment response in HCC relies on integration of imaging findings, biomarkers, and clinical parameters. Although Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 remains the primary response assessment method in clinical trials, its size-based criteria may not fully capture biologic response in HCC, where therapy can induce necrosis or decreased vascularity without substantial tumor shrinkage. Modified RECIST (mRECIST), which evaluates viable enhancing tumor, may better reflect treatment effect in certain contexts; however, higher response rates by mRECIST have not consistently translated into improved overall survival. Atypical response patterns such as pseudoprogression and hyperprogression may further complicate evaluation in the immunotherapy era but remain uncommon in HCC. Emerging evidence suggests that combining systemic therapy with locoregional therapies such as transarterial chemoembolization, transarterial radioembolization, and stereotactic body radiation therapy may improve disease control and survival in selected patients, further increasing imaging complexity. In routine clinical practice, radiology reports should emphasize global disease burden assessment, "the forest, not the trees," while clearly describing mixed responses, tumor-in-vein, and extrahepatic disease. In cases of temporally overlapping systemic and locoregional therapies, a compartmentalized approach integrating RECIST or mRECIST principles with LI-RADS treatment response algorithm for recently treated lesions, "the forest and the trees," is recommended to support multidisciplinary decision-making. Advanced imaging techniques including perfusion imaging, radiomics, and artificial intelligence-based modeling offer promising tools for earlier and more precise response assessment but remain largely investigational. As therapeutic paradigms continue to evolve, radiologists play a central role in guiding management decisions. A comprehensive, multidisciplinary approach that integrates imaging interpretation with clinical context and treatment history is essential to accurately assess response and optimize care in patients with HCC receiving systemic therapy.

Indexed as

HCCHepatocellular carcinomaLI-RADSLocoregional therapymRECISTRECISTSystemic therapyTRATreatment response

Identifiers

PMID42207294

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.