CT radiomics for predicting postoperative disease specific survival in clear cell renal cell carcinoma: a multi-center study

This multi-center study developed a CT-based radiomics model for predicting DSS in ccRCC patients, enhancing the prognostic evaluations of the clinical model. Additionally, it revealed a significant correlation and complementarity between radiomics and pathomics features.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-10-29
DOI
https://doi.org/10.21037/qims-24-2284
Primary Topic
Renal cell carcinoma treatment
Type
article
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article

CT radiomics for predicting postoperative disease specific survival in clear cell renal cell carcinoma: a multi-center study

Xin Wu Xie, Kehua Jiang, Yuanyuan Pei, Wuchao Li et al.
Quantitative Imaging in Medicine and Surgery
Renal cell carcinoma treatment
article

CT radiomics for predicting postoperative disease specific survival in clear cell renal cell carcinoma: a multi-center study

Xin Wu Xie, Kehua Jiang, Yuanyuan Pei, Wuchao Li, Pinhao Li, Y Zhang, Tijiang Zhang, Jianguo Zhu, Heng Liu, Rongpin Wang, Xianchun Zeng, Kai Li
article en

Abstract

This multi-center study developed a CT-based radiomics model for predicting DSS in ccRCC patients, enhancing the prognostic evaluations of the clinical model. Additionally, it revealed a significant correlation and complementarity between radiomics and pathomics features.

Quantitative Imaging in Medicine and SurgeryVol. 15(11)
Guiyang Medical University (CN), Guizhou University (CN), Zunyi Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN), Guizhou Provincial People's Hospital (CN)
Openalex Percentile: Top 55%
Renal cell carcinoma treatment
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CT radiomics for predicting postoperative disease specific survival in clear cell renal cell carcinoma: a multi-center study — Xin Wu Xie, Kehua Jiang, et al. · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS