Abstract #2975

Radiomic approach for predicting short-term postoperative recovery of cervical spondylotic myelopathy based on NODDI and T2*WI

Meng-Ze Zhang¹, Han-Qiang Ou-Yang^1,2,3, Chun-Jie Wang¹, Jian-Fang Liu¹, Dan Jin¹, Xian-Chang Zhang⁴, Qiang Zhao¹, Xiao-Guang Liu^1,2,3, Zhong-Jun Liu^1,2,3, Ning Lang¹, Xing-Wen Sun¹, Liang Jiang^1,2,3, and Hui-Shu Yuan¹

¹Peking University Third Hospital, Beijing, China, ²Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China, ³Beijing Key Laboratory of Spinal Disease Research, Beijing, China, ⁴MR Collaboration, Siemens Healthineers Ltd, Beijing, China

Synopsis

This study used radiomics based on T2*-weighted imaging (T2*WI) and neurite orientation dispersion and density imaging (NODDI) to predict the short-term recovery of patients with cervical spondylotic myelopathy (CSM). By classifying patients into good and poor outcomes based on the 3-month recovery rate, we found both T2*WI- and NODDI-based radiomic features to have good prognostic power. Furthermore, radiomic score based on NODDI was an independent predictor, whereas the other features were not. These findings suggest that radiomics based on NODDI has good prognostic power for CSM.

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