Evidence map›Paper›PMID 40870941›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Prediction of Immunotherapy Response in Hepatocellular Carcinoma Patients Using Pretreatment CT Images.

Ji Hye Min, Pin-Jung Chen, Touseef Ahmad Qureshi, Sehrish Javed, Yibin Xie, Linda Azab, Lixia Wang, Hyun-Seok Kim, Debiao Li, Ju Dong Yang

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
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

10 authors.

Ji Hye MinKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-8496-6771
Pin-Jung ChenSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Touseef Ahmad QureshiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-8253-7308
Sehrish JavedBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Yibin XieBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Linda AzabBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Lixia WangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-2304-7536
Hyun-Seok KimKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Ju Dong YangKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Funding

Predicting Pancreatic Ductal Adenocarcinoma PDAC Through Artificial Intelligence Analysis of Pre Diagnostic CT Images in African AmericansR01CA260955 · NCI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO, PANDOL, STEPHEN J. · 2021 to 2025
$4.8M
Korea Health Industry Development Institute grant number: RS-2023-00305161NCI NIH HHS R01 CA260955
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

hepatocellular carcinomaimmunotherapymachine learningradiomicsresponse

Identifiers

PMID40870941
PMCPMC12385829

What Socratic holds

Textmetadata
LicenceCC BY
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.