Abstract #3050

Prediction of amnestic mild cognitive impairment using radiomics-clinical model based on 3D-T1WI imaging

Wei Zheng^1,2, Ronghua Mu¹, Xiaoyan Qin¹, Xin Li¹, Fuzhen Liu¹, Zeyu Zhuang^1,2, Peng Yang¹, Jian Lv¹, Xiqi Zhu¹, and Kan Deng³

¹the Nanxishan Hospital, Guangxi Zhuang Autonomous Region, guilin, China, ²Graduate School of Guilin Medical University, guilin, China, ³Philips Healthcare, Guangzhou, China

Synopsis

Keywords: Alzheimer's Disease, Radiomics

Mild cognitive impairment (MCI) is a transitional state between normal aging and dementia disorders, especially Alzheimer's disease (AD). In this study, we aimed to develop a radiomics model based on 3D-T1W imaging to distinguish amnestic mild cognitive impairment (aMCI) patients from the normal elderly population by measuring changes in the frontal lobe. And the result shows that a quantitative nomogram based on clinical feature and radiomic features of MRI imaging can be used to distinguish aMCI and CN with excellent predictive ability, which can be served as a potential decision support tool to assist clinicians in Screening community aMCI population.

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