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Authors
Zhang, Kun
Zhang, Lei
Li, Wen-Cui
Xie, Shuang-Shuang
Cui, Ying-Zhu
Lin, Li-Ying
Shen, Zhi-Wei
Zhang, Hui-Mao
Xia, Shuang
Ye, Zhao-Xiang
He, Kan
Shen, Wen https://orcid.org/0000-0003-2695-7890
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Funding
Funding for this research was provided by:
National Natural Science Fund of China (81873888)
Innovative Research Group Project of the National Natural Science Foundation of China (81901710)
Natural Scientific Foundation of Tianjin (22JCQNJC00920)
Science and Technology fund of Tianjin (TJWJ2021QN011, QN20024)
Jilin Province Science and Technology Department (YDZJ202201ZYTS679)
Northeast university-Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education (3D4206967428)
China International Medical Exchange Foundation Chinese Medical Imaging International Exchange Special Fund (Z-2014-07-2003-03)
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Article History
Received: 12 September 2022
Revised: 15 March 2023
Accepted: 26 March 2023
First Online: 27 June 2023
Declarations
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: The scientific guarantor of this publication is Dr. Wen Shen from Department of Radiology, Tianjin First Central Hospital.
: Zhi-Wei Shen is an employee of Philips Healthcare. The remaining authors declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: No complex statistical methods were necessary for this paper.
: Written informed consent was obtained from all subjects in this study.
: Institutional Review Board approval was obtained.This study was conducted at three medical institutions in accordance with the Declaration of Helsinki. The study protocol/ethics was approved by each Institutional Review Board (AF-IRB-030-05, 2021N118KY, and bc2022009). Patients’ informed consent was waived, and the analysis used anonymous clinical data that were obtain.
: No study subjects or cohorts have been previously reported.
: • retrospective• diagnostic or prognostic study• multi-center study
