Wang, Yanshu
Qu, Yali
Yang, Chongtu
Wu, Yuanan
Wei, Hong
Qin, Yun
Yang, Jie
Zheng, Tianying
Chen, Jie
Cannella, Roberto
Vernuccio, Federica
Ronot, Maxime
Chen, Weixia
Song, Bin
Jiang, Hanyu https://orcid.org/0000-0002-7726-1618
Funding for this research was provided by:
National Natural Science Foundation of China (82202111, 82202111, 82202111, 82202111, 82202111)
China Postdoctoral Science Foundation (2022M710100)
Post-Doctoral Research Project at Sichuan University (2022SCU12039)
Article History
Received: 29 April 2024
Revised: 26 July 2024
Accepted: 7 August 2024
First Online: 5 September 2024
Compliance with ethical standards
:
: The scientific guarantor of this publication is Hanyu Jiang.
: All authors disclose no conflict of interest relevant to this work. H.J. is a stock owner of Kanghong Technology Co., Ltd. R.C. received support for attending meetings from Bracco and Bayer; research collaboration with Siemens Healthineers; co-funding by the European Union—FESR or FSE, PON Research and Innovation 2014–2020—DM 1062/2021. F.V. received support for attending meetings from Bracco and GE Healthcare; M.R. received educational fees from Sirtex, Guerbet, Ipsen, Servier, GE Healthcare, Angiodynamics, and consulting fees (paid to the institution) from Quantum Surgical, and is also a member of the Scientific Editorial Board for European Radiology (section: Magnetic Resonance). They did not participate in the selection or review processes for this article. The remaining authors declare no conflicts of interest.
: One co-author (Yuanan Wu, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, Sichuan 610000, China) has significant statistical expertise.
: The requirement for informed consent was waived (retrospective design) by the Biomedical Ethics Review Committee of West China Hospital, Sichuan University.
: The study protocol was approved by the Biomedical Ethics Review Committee of West China Hospital, Sichuan University (approval numbers: 2022-651).
: Some study subjects (80.9%, 339/419) have been described previously on a distinct topic. While the prior work focuses explicitly on developing prognostic models to predict advanced-stage recurrence, the current study aims to support the selection between narrow and wide resection margins.
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