Evidence map›Paper›PMID 40234767›Full record

ArticleBMC gastroenterology2025

Development and verification of a radiomics model to forecast Ki67 index and prognosis in advanced gastric tubular adenocarcinoma.

Jiatong Lu, Yong Xiao, Qiushuang Wang, Fangfang Chen, Zhi Zeng, Junfeng Yan, Qiang Li, Qiang Tong

Abstract readValidation Study
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Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Authors and funding

8 authors.

Jiatong Lu *Department of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, Hubei, China.
Yong Xiao *Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Qiushuang Wang *Department of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, Hubei, China.
Fangfang ChenDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Zhi ZengDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Junfeng YanDepartment of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, Hubei, China.
Qiang LiDepartment of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, Hubei, China.
Qiang TongDepartment of Gastrointestinal Surgery I Section, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, Hubei, China. qiangtong@whu.edu.cn.

Funding

Guidance Foundation of Renmin Hospital of Wuhan University RMYD2018M67National Natural Science Foundation of China 81172186Natural Science Foundation of Hubei Province 2018CFB504
6 · The paper itself

Abstract

backgroundThe purpose of this research is to evaluate the predictive capabilities of a radiomics model for the Ki67 index and its correlation with prognosis in advanced gastric tubular adenocarcinoma patients.

methodsClinical data from 213 patients were analyzed, categorizing patients into high and low Ki67 index groups. The radiomic features of 192 patients were selected by lasso method and the model was constructed, which was validated using the TCIA dataset. Univariate and multivariate Cox regression analyses were used to further analyze clinical features associated with the prognosis of gastric cancer, radiomic models are also used to assess patient outcomes.

resultsThe radiomics model demonstrated moderate accuracy, with AUC values of 0.634, 0.666, and 0.602 for the training, validation 1, and validation 2 sets, respectively. Additionally, a significant correlation was found between the Ki67 index and radiomics scores, a higher Ki67 index was associated with improved outcomes. Kaplan-Meier analysis showed distinct survival differences between patients with high and low radiomics scores, indicating that higher scores predict better prognosis.

conclusionsThe radiomics model accurately predicts the Ki67 index and correlates with prognosis in advanced gastric tubular adenocarcinoma, offering valuable insights for clinical decision-making and personalized treatment strategies.

Indexed as

AdenocarcinomaKi-67 AntigenStomach NeoplasmsAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRadiomicsKi-67 AntigenAdvanced gastric tubular adenocarcinomaKi67PrognosisRadiomics

Identifiers

PMID40234767
PMCPMC12001714

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