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

Machine Learning (3236) Clinical Information and Decision Making (3773) Decision Support for Health Professionals (2268) Innovations and Technology in Cancer Care (694) Imaging Informatics (477) Postoperative Monitoring and Telemonitoring (251) Cancer Prognosis Models and Machine Learning (140) Medical imaging (197) Nephrology/Renal Disorders (143)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73162, first published .
Doctor shows X-ray to patient undergoing chemotherapy

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
Article Authors Cited by (2) Tweetations Metrics

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
  2. Colarieti A, Milazzo S, Pozzo Giuffrida A, Carriero A. CT-Based Radiomics in Renal Tumors: Current Evidence, Methodological Challenges, and Future Perspectives for Precision Oncology. Cancers 2026;18(17):2797 View