Abstract #0565

Predictive Value of Diffusion Magnetic Resonance Imaging for the Postoperative Outcome of Cervical Spondylotic Myelopathy

Ming Ni¹, Xiaoyi Wen², Mengze Zhang¹, Chenyu Jiang¹, Yali Li¹, Xianchang Zhang³, Ning Lang¹, Qiang Zhao¹, Yuqing Zhao¹, Wen Chen¹, Liang Jiang⁴, and Huishu Yuan¹

¹Department of Radiology, Peking University Third Hospital, BeiJing, China, ²Institute of Statistics and Big Data, Renmin University of China, BeiJing, China, ³MR Collaboration, Siemens Healthineers Ltd., BeiJing, China, ⁴Department of Orthopedics, Peking University Third Hospital, BeiJing, China

Synopsis

Keywords: Spinal Cord, Diffusion/other diffusion imaging techniques

This study used multi-factorial linear quantile mixed-effects regression models to predict the outcome of cervical spondylotic myelopathy (CSM) patients one year after surgery based on MRI. Six models were constructed using the linear quantile mixed model and linear mixed-effects regression model based on the diffusion magnetic resonance imaging (dMRI) data, all the imaging data (dMRI & Conventional MRI), and all the registered data (dMRI & Conventional MRI & clinical data). We found that fractional anisotropy (FA) values quantified by preoperative dMRI could predict the surgical outcome of CSM and showed a significant positive correlation with the postoperative outcome.

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