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

DOI: 10.12659/MSM.929417

Med Sci Monit 2021; 27:e929417

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Figure 1 The combined classification of both the quality and longitudinal extent of increased signal intensity (ISI) on T2-weighted images: Type 1 (none/none) displayed normal intensity; Type 2 (focal/faint) displayed focal and faint ISI; Type 3 (focal/intense) displayed focal and intense ISI; Type 4 (multisegmental/faint) displayed multisegmental and faint ISI; and Type 5 (multisegmental/intense) displayed multisegmental and intense ISI.

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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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