Evidence map›Paper›PMID 42840394›Full record

ArticleResearch (Washington, D.C.)2026

Integrated CT Foundation Model and Radiomic Features Define Clinically and Biologically Distinct Colorectal Cancer Subtypes.

Du Cai, Haoning Qi, Qiuxia Yang, Yibin Zhao, Chenghang Li, Chuling Hu, Yinmeng Zhang, Rende Huang, Wenjun Mao, Xiaojian Wu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Research (Washington, D.C.), 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

12 authors.

Du CaiDepartment of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P. R. China.ORCID https://orcid.org/0000-0002-8894-7973
Haoning QiDepartment of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Qiuxia YangDepartment of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China.
Yibin ZhaoDepartment of Colorectal Surgery, Ningbo Medical Center Lihuili Hospital (Affiliated Lihuili Hospital of Ningbo University), Ningbo 315000, P. R. China.
Chenghang LiArtificial Intelligence Thrust, The Hong Kong University of Science and Technology, Guangzhou, P. R. China.
Chuling HuDepartment of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Yinmeng ZhangDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, P. R. China.
Rende HuangDepartment of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Wenjun MaoDepartment of Thoracic Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi 214023, P. R. China.
Xiaojian WuDepartment of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Yize MaoDepartment of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China.
Feng GaoDepartment of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is clinically heterogeneous, and current risk stratification does not fully capture differences in recurrence, survival, or treatment response. Molecular subtyping has improved biological classification, but sequencing-based workflows are not always available before treatment or at the population scale. We developed a survival-informed computed tomography (CT) phenotyping framework that combines CT foundation-model representations with PyRadiomics descriptors of tumor shape, intensity, and texture. Across 4 nonoverlapping cohorts, including SYSU6H cohort 1 (

Identifiers

PMID42840394
PMCPMC13639147

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.