Zheng, Qiang https://orcid.org/0000-0002-7853-8033
Zhang, Yiyu
Li, Honglun
Tong, Xiangrong
Ouyang, Minhui
Funding for this research was provided by:
National Natural Science Foundation of China (61802330, 61802331, 61801415)
Article History
Received: 9 March 2022
Revised: 30 June 2022
Accepted: 3 August 2022
First Online: 24 August 2022
Declarations
:
: The scientific guarantor of this publication is Qiang Zheng from Yantai University, the lead author of the study.
: The authors declare no competing interests.
: One of the authors (Minhui Ouyang, the last author, Children’s Hospital of Philadelphia) has significant statistical expertise.
: Informed written consent was obtained from all subjects (patients) in this study.
: The study was approved by the institutional review boards of all the participating institutions.
: It should be noted that 990 of the 1650 subjects in ADNI cohort have been previously reported (Zhao et al, Jin et al). These prior studies focused on whether the hippocampal radiomics feature (Zhao et al) or 3D attention network model (Jin et al) can distinguish AD from NC, whereas the present study aims to test how segmentation methods affect hippocampal radiomic feature accuracy in Alzheimer’s disease analysis.Zhao K, Ding Y, Han Y, et al Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer’s disease: diagnosis, longitudinal progress and biological basis. Science Bulletin. 2020;65(13):1103-13.Jin D, Wang P, Zalesky A, et al Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer’s Disease. Hum Brain Mapp. 2020;41(12):3379-91.
: • retrospective• case-control study• multicenter study