ORIGINAL RESEARCH article
Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1661979
This article is part of the Research TopicRadiomics and AI-Driven Deep Learning for Cancer Diagnosis and TreatmentView all 10 articles
Development of a radiomics and clinical feature-based nomogram for preoperative prediction of pathological grade in bladder cancer
Provisionally accepted
- 1The First Affiliated Hospital of Soochow University, Suzhou, China
- 2Tongren Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The researchers confirm full responsibility for the methodological integrity and reliability of this study. Thorough validation procedures were conducted to address any quality concerns during the study. This research received formal approval from the Institutional Review Board of the First Affiliated Hospital of Soochow University (Protocol ID: 512/2024) and adhered to the ethical guidelines outlined in the 2013 revision of the Declaration of Helsinki. Written informed consent was obtained from all participants before the trial began.
Keywords: All authors, Supervision: Ouyang Jun, Project Administration: Ouyang Jun, Visualization: Zhang Chuanao, Mao Caiping, Funding Acquisition: Zhang Zhiyu, Validation: Bladder urothelial carcinoma, Pathological grade, Radiomics, CT texture analysis,
Received: 08 Jul 2025; Accepted: 11 Aug 2025.
Copyright: © 2025 Zhou, Ma, Yu, Zhang, Jun, Mao and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Zhiyu Zhang, The First Affiliated Hospital of Soochow University, Suzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.