Radiomics model based on dual-energy CT venous phase parameters to predict Ki-67 levels in gastrointestinal stromal tumors

The nomogram model combining clinical features and radiomics (iodine density map radscore + effective atomic number map radscore) has the highest accuracy for preoperative prediction of Ki-67 expression in GISTs.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-04-29
DOI
https://doi.org/10.3389/fonc.2025.1502062
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Radiomics model based on dual-energy CT venous phase parameters to predict Ki-67 levels in gastrointestinal stromal tumors

Zhi-yang Tang, Guoqiang Ren, Benqiang Yang, Min Li et al.
Frontiers in Oncology
Advanced X-ray and CT Imaging
article

Radiomics model based on dual-energy CT venous phase parameters to predict Ki-67 levels in gastrointestinal stromal tumors

Zhi-yang Tang, Guoqiang Ren, Benqiang Yang, Min Li, Wenhua Liu, Xiuhong Shan
article en

Abstract

The nomogram model combining clinical features and radiomics (iodine density map radscore + effective atomic number map radscore) has the highest accuracy for preoperative prediction of Ki-67 expression in GISTs.

Frontiers in OncologyVol. 15
Dalian Medical University (CN), General Hospital of Shenyang Military Region (CN)
Openalex Percentile: Top 92%
Advanced X-ray and CT Imaging
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