Evidence map›Paper›PMID 40208284›Full record

ReviewAbdominal radiology (New York)2025

Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma.

Junghwa Choi, Andrew Gordon, Aydin Eresen, Zhuoli Zhang, Amir Borhani, Ulas Bagci, Robert Lewandowski, Dong-Hyun Kim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Junghwa ChoiDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA.
Andrew GordonDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA.
Aydin EresenDepartment of Radiological Sciences, University of California, Irvine, Irvine, USA.
Zhuoli ZhangDepartment of Radiological Sciences, University of California, Irvine, Irvine, USA.
Amir BorhaniDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA.
Ulas BagciDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA.
Robert LewandowskiDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA.
Dong-Hyun KimDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA. dhkim@northwestern.edu.ORCID 0000-0001-6815-3319

Funding

Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and DiagnosisR01CA240639 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BAGCI, ULAS · 2020 to 2024
$2.0M
Local Tumoral Delivered Immune Checkpoint Blockades Immunotherapy and Radioembolization Combination TherapyR01CA282664 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, DONG-HYUN · 2023 to 2025
$1.8M
NCI NIH HHS R01 CA240639NCI NIH HHS R01CA282664
6 · The paper itself

Abstract

The tumor microenvironment (TME) of hepatocellular carcinoma (HCC) has garnered significant attention, especially with the rise of immunotherapy as a treatment strategy. Radiomics, an innovative technique, offers valuable insights into the intricate structure of the TME. This review highlights recent advancements in radiomics for analyzing the HCC TME, identifies key areas that warrant further research, and explores comprehensive multi-omics approaches that extend the potential of radiomics to new frontiers.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsTumor MicroenvironmentHumansRadiomicsCancer therapyHepatocellular carcinomaImmunotherapyRadiomicsTumor microenvironment

Identifiers

PMID40208284

What OpenQuestion 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 OpenQuestion graph.