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

Authors information Article notes Copyright and License information

Background Material and Methods Results Discussion Conclusions References

Related articles Order reprints Share article Share by email

View HTML version

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.

Back to the Article

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

Your Privacy