Deep learning model based on CT images to predict Ki‑67 expression in renal carcinoma

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Authors: Dan Shen, Hongmei Li, Bingye Shi, Tao Ma, Bin Zhou, Chao Gao, Yibo Liu, Zhenyu Cui
Cited by: 0
References: 10

Abstract

The aim of the present study was to establish a preoperative prediction model of Ki-67 expression in renal cell carcinoma (RCC) by combining CT images of RCC with deep learning technology, and to evaluate its effect in clinical application. A retrospective analysis was performed on the CT images and pathological data of 137 patients with RCC who underwent renal CT plain scan plus enhancement scans and who were diagnosed pathologically from January 2019 to November 2023 at the Affiliated Hospital of Hebei University. All recruited patients were divided into 35 cases with Ki-67 ≥10% and 102 cases with Ki-67

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Renal cell carcinoma treatment Advanced X-ray and CT Imaging

Publication details

Journal / source
Oncology Letters
Publisher
Spandidos Publications
Volume
32
Issue
4
Pages
1–11
Publication date
29 July 2026
Language
EN