Lin, Xi
Jia, Mengmeng
Zhou, Xiang
Bao, Lingyun
Chen, Yaqing
Liu, Peifang
Feng, Ruimei
Zhang, Xi
Zhu, Luoxi
Wang, Hui
Zhu, Ying
Tang, Guoxue
Feng, Wenqi
Li, Anhua
Qiao, Youlin http://orcid.org/0000-0001-6380-0871
Funding for this research was provided by:
Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS 2017-I2M-B&R-03)
GE Healthcare (11183574598)
Peking Union Medical College Doctoral Innovation Fund (2017-1001-18)
Article History
Received: 30 April 2020
Revised: 4 July 2020
Accepted: 14 August 2020
First Online: 27 August 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Dr. Youlin Qiao from the National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College.
: Author Mengmeng Jia is the 2018 GE Healthcare Call for proposal Awardee. Other authors declare that they have no conflict of interest.
: Four of the authors (Mengmeng Jia, Xi Zhang, Ruimei Feng, and Youlin Qiao) have significant statistical expertise.
: Written informed consent was obtained from all participants in this study.
: Institutional Review Board approval was obtained from all five study centers, including Cancer Hospital, Chinese Academy of Medical Sciences, Sun Yat-sen University Cancer Center, the First People’s Hospital of Hangzhou, Xin Hua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, and Tianjin Medical University Cancer Institute and Hospital.
: The methodology of this study has been previously reported in the following paper:Zhang X, Lin X, Tan Y, et al A multicenter hospital-based diagnosis study of automated breast ultrasound system in detecting breast cancer among Chinese women. Chin J Cancer Res. 2018;30(2):231–239. doi:10.21147/j.issn.1000-9604.2018.02.06Another newly published paper, which evaluated and compared the diagnostic performance of ABUS and HHUS as adjuncts to mammogram in women with dense breasts, has some overlap participant with the current study. Only the women with dense breasts were analyzed in the previous study, and these two papers have different objectives. (Jia, M., Lin, X., Zhou, X. et al Diagnostic performance of automated breast ultrasound and handheld ultrasound in women with dense breasts. Breast Cancer Res Treat (2020). ExternalRef removed).
: • Prospective study• Cross-sectional study• Multicenter study