Jiang, Hanyu
Song, Bin
Qin, Yun
Chen, Jie
Xiao, Dong
Ha, Hong II
Liu, Xijiao
Oloruntoba-Sanders, Omobonike
Erkanli, Alaattin
Muir, Andrew J.
Bashir, Mustafa R.
Funding for this research was provided by:
National Natural Science Foundation of China (81771797)
Article History
Received: 8 June 2020
Revised: 14 September 2020
Accepted: 6 November 2020
First Online: 27 November 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Hanyu Jiang.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: Two of the authors, Dong Xiao and Alaattin Erkanli, have significant statistical expertise.
: Written informed consent was not required for this study because we retrospectively analyzed data from a prospectively collected cohort (Clinical trial registration No. ChiCTR1900026668).
: Institutional Review Board approval was obtained.
: In a previous study (Jiang H, Liu X, Chen J, et al (2019) Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma. Cancer Imaging 19(1):84), we reported 30 patients included in the current study. While the previous work evaluated and compared the diagnostic accuracies of EASL v2018, LI-RADS v2018 criteria, and a radiomics model for HCC, the current study focused on the detection of M-CC in LR-M patients using a quite different methodology.
: • retrospective• diagnostic or prognostic study• performed at one institution