This paper is in the following e-collection/theme issue:

Machine Learning (2199) Nephrology/Renal Disorders (109) Medical imaging (128) Cancer Prognosis Models and Machine Learning (75) Innovations and Technology in Cancer Care (565) Decision Support for Health Professionals (1612) Imaging Informatics (322) Postoperative Monitoring and Telemonitoring (208) Clinical Information and Decision Making (2037)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73162, first published .
Survival Prediction for Postoperative Patients With Kidney Cancer Based on Computed Tomography Radiomics: Retrospective Cohort Study

Survival Prediction for Postoperative Patients With Kidney Cancer Based on Computed Tomography Radiomics: Retrospective Cohort Study

Survival Prediction for Postoperative Patients With Kidney Cancer Based on Computed Tomography Radiomics: Retrospective Cohort Study

Authors of this article:

Guizhen He1, 2 Author Orcid Image ;   Liwen Lai1, 2 Author Orcid Image ;   Guoan Yu1, 2 Author Orcid Image ;   Haowen Pang3 Author Orcid Image ;   Xiaohui Yu1, 2 Author Orcid Image ;   Huaiwen Zhang4 Author Orcid Image ;   Qingxiu Zhu1, 2 Author Orcid Image ;   Yingzi Lv1, 2 Author Orcid Image
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Journals

  1. Zhou J, Zhou T, Yang Y, Zhang C, Ma Y, Xu J. Study on the prediction of postoperative metastasis in renal cancer using perirenal fat CT radiomics combined with clinical features. Frontiers in Oncology 2026;16 View