Peer-Reviewed Publication
BMC Med Imaging2026July 7, 2026Journal Article
Development of multiphasic CT-based delta-radiomics model for predicting postoperative recurrence risk in bladder cancer.
Weiwei Liu1,2,3, Bingxin Gong1,2,3, Guilin Zhang1,2,3, Yusheng Guo1,2,3, Xiaona Fu1,2,3, Jie Lou1,2,3, Peng Sun4, Yi Li1,2,3, Shanshan Jiang1,2,3, Chao Huang5, Lian Yang6,7,8
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China.
2Hubei Provincial Clinical Research Center for Precision Radiology & Interventional Medicine, Wuhan, 430022, China.
3Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
4Institute of Research and Clinical Innovations, Neusoft Medical Systems Co. Ltd, Shenyang, 110167, China.
5Department of Urology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China. huangchaowhuh@hust.edu.cn.
6Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China. yanglian@hust.edu.cn.
7Hubei Provincial Clinical Research Center for Precision Radiology & Interventional Medicine, Wuhan, 430022, China. yanglian@hust.edu.cn.
8Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China. yanglian@hust.edu.cn.
Abstract
BACKGROUND: This study aimed to develop a CT-based delta-radiomics model for personalized prediction of postoperative prognosis in bladder cancer patients and identification of differentially expressed genes associated with tumour recurrence.
MATERIALS AND METHODS: This retrospective study included 316 patients with bladder cancer from Wuhan Union Hospital who underwent preoperative unenhanced an…
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