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Abstract #4679

The Utility of DTI and NODDI for Assessment of Disease Severity and in Predicting Postoperative Neuronal Recovery: An Atlas-based Tract Specific Study

Tomohiro Takamura1, Ryo Ueda2, Masaaki Hori 1, Ryusuke Irie1, Koji Kamagata1, Michimasa Suzuki1, and Shigeki Aoki1

1Juntendo University, Tokyo, Japan, 2Tokyo Metropolitan University

Quantification of disease severity and prediction of postoperative outcome were essential in management of cervical spondylotic myelopathy (CSM). The purpose of this study was to investigate correlation between diffusion metrics, including DTI or NODDI in spinal cord pathways, and the severity of CSM, as well as their predictive ability for postoperative recovery. We elucidated that the disease severity was significantly correlated with FA and ODI, and postoperative recovery correlated with RD and MD. The lateral funiculi and lateral corticospinal tract seemed to be the predominant spinal cord pathway that correlated with disease severity and postoperative recovery.

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