Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy

Hu Ren; Tao Feng; Linfeng Wang; Junchuan Liu; Peng Zhang; Guangqing Yao; Yong Shen

doi:10.12659/MSM.929417

31 January 2021 : Clinical Research

Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy

Hu Ren^1ADEF, Tao Feng^1AEF, Linfeng Wang^1ADF, Junchuan Liu^1BCD, Peng Zhang^1BC, Guangqing Yao^1BCD, Yong Shen^1ADF*

DOI: 10.12659/MSM.929417

Med Sci Monit 2021; 27:e929417

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Figure 2 Relationship between recovery rate after surgery for cervical spondylotic myelopathy and preoperative combined classification of increased signal intensity on T2-weighted images.

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Using a Combined Classification of Increased Signal Intensity on Magnetic Resonance Imaging (MRI) to Predict Surgical Outcome in Cervical Spondylotic Myelopathy

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