Li, Jing
Dong, Di
Fang, Mengjie
Wang, Rui
Tian, Jie
Li, Hailiang
Gao, Jianbo http://orcid.org/0000-0002-3436-3526
Funding for this research was provided by:
National Natural Science Foundation of China (81271573)
Article History
Received: 30 July 2019
Revised: 15 November 2019
Accepted: 12 December 2019
First Online: 17 January 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Jianbo Gao.
: 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.
: No complex statistical methods were necessary for this paper.
: Written informed consent was not required for this study because this is a retrospective diagnostic study. Written informed consent was waived by the Institutional Review Board of Zhengzhou University.
: Institutional Review Board approval was obtained.
: A total of 73 of the 204 patients have been previously reported. This prior article dealt with the potential of IC value for the prediction of lymph node metastasis in gastric cancer by multivariate logistic analysis, whereas in this manuscript, we report on the additional predictive value of a deep learning spectral CT-based radiomics model for the LNM prediction in gastric cancer.
: • retrospective• diagnostic or prognostic study• performed at one institution