Evidence map›Paper›PMID 42551870›Full record

ReviewKorean journal of radiology2026

Beyond Diagnosis: Magnetic Resonance Imaging-Based Imaging Biomarkers for Tumor Biology, Prognosis, and Clinical Decision-Making in Hepatocellular Carcinoma.

Ja Kyung Yoon, Jin-Young Choi

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 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

2 authors.

Ja Kyung YoonDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3783-977X
Jin-Young ChoiDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. gafield2@yuhs.ac.ORCID https://orcid.org/0000-0002-9025-6274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a biologically heterogeneous malignancy staged according to tumor burden and clinical status. Molecular and histopathologic factors remain unincorporated into current staging systems, as they are usually unavailable because HCC is often diagnosed noninvasively. Emerging evidence indicates that magnetic resonance imaging (MRI) features reflect underlying tumor biology and provide prognostic information beyond diagnosis. MRI can differentiate proliferative-class HCC, which is characterized by aggressive behavior, frequent microvascular invasion (MVI), and poor outcomes, from non-proliferative-class HCC with more favorable biology. Several MRI features, including rim arterial phase hyperenhancement (APHE), non-smooth margins, necrosis, intratumoral arteries, low apparent diffusion coefficient, peritumoral APHE, and peritumoral hepatobiliary phase (HBP) hypointensity, have been associated with aggressive tumor behavior and adverse outcomes. In contrast, capsule appearance, intratumoral fat, and HBP hyperintensity are associated with more favorable biology. Although biopsy is not routinely required when characteristic imaging features of HCC are present, imaging features suggestive of aggressive tumor subtypes may identify patients who could benefit from histologic confirmation for diagnostic clarification, molecular profiling, or treatment planning. Radiomics and artificial intelligence-based analyses further enhance MVI prediction, recurrence risk stratification, and noninvasive molecular characterization. In conclusion, the emerging role of MRI in characterizing tumor biology underscores the growing importance of imaging biomarkers in clinical decision-making and selective biopsy strategies.

Indexed as

Carcinoma, HepatocellularClinical Decision-MakingLiver NeoplasmsMagnetic Resonance ImagingBiomarkers, TumorHumansNeoplasm StagingPrognosisRadiomicsBiomarkers, TumorBiomarkers, tumorBiopsy, needleCarcinoma, hepatocellularMagnetic resonance imagingPrognosis

Identifiers

PMID42551870
PMCPMC13537878

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.