Evidence map›Paper›PMID 41238794›Full record

ArticleNPJ precision oncology2025

Predicting tumor micronecrosis in hepatocellular carcinoma using pretreatment contrast-enhanced CT radiomics model: a multi-center study.

Yangyang Wang, Chao Huang, Yu Tian, Mao Ye, Cao Chen, Tianyi Xia, Yiting Xu, Haonan Ding, Yuquan Zhang, Yiwei Gao and 17 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

27 authors.

Yangyang Wang *Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chao Huang *Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China.
Yu Tian *Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China.
Mao Ye *Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Cao ChenDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tianyi XiaNurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
Yiting XuDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haonan DingDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yuquan ZhangDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yiwei GaoResearch Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China.
Peijun HuResearch Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China.
Yan ZhuResearch Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China.
Enliang LiDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xu SunDepartment of General Surgery, Huzhou Central Hospital, Zhejiang University School of Medicine, Huzhou, China.
Hongbin GeDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Rujia ZhengMOE Joint International Research Laboratory of Pancreatic Diseases, Hangzhou, China.
Hongkan WangDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wanyue CaoDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qitai ChenDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhihang CaiDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ke SunDepartment of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xing XueDepartment of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tingting LuCollege of Life Science and Biotechnology, Shanghai Jiaotong University, Shanghai, China.
Shenghong JuNurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
Jingsong LiResearch Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China. ljs@zju.edu.cn.
Tingbo LiangDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. liangtingbo@zju.edu.cn.
Qi ZhangDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. qi.zhang@zju.edu.cn.

Funding

the National Key Research & Development Program 2020YFA0804300/2020YFA0804301the National Natural Science Foundation of China 82071865, 82188102, 82172069, 92359304, 32321002, 82473461, and 823B2040Zhejiang Province Science and Technology Major Progress WKJ-ZJ-2403Zhejiang Provincial Administration of Traditional Chinese Medicine GZY-ZJ-KJ-23025Zhejiang Provincial Natural Science Foundation HDMD22H319373
6 · The paper itself

Abstract

Tumor micronecrosis is a validated malignancy biomarker with poor prognosis in hepatocellular carcinoma (HCC), but currently lacks reliable preoperative detection methods. We developed a radiomics model for predicting tumor micronecrosis using preoperative contrast-enhanced computed tomography (CECT). The study included 1017 patients with histopathologically confirmed HCC across three centers, allocated to development, internal test, external test, and application sets. Radiomics features were extracted from tumor regions, with model training via a stratified 5-fold cross-validation framework. The model yield area under the curve values of 0.80 and 0.75 in the internal and external test sets, respectively. Survival curves for histologic and radiomics-predicted micronecrosis groups demonstrated close alignment. For patients treated with tyrosine kinase inhibitor and anti-PD-(L)1 immunotherapy, radiomics-predicted micronecrosis(-) and micronecrosis(+) groups showed comparable survival (P = 0.312). Mass cytometry demonstrated significant correlations between micronecrosis-associated radiomics features and peripheral CD24

Identifiers

PMID41238794
PMCPMC12618529

What OpenQuestion holds

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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.