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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
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MRI-Based Machine Learning and Radiomics Methods for Assessing Spinal Cord Function in Patients with Mild Cervical

He Wang1, Kai Wang1, Yutian Wang1

  • 1Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xicheng District, Beijing 100053, China.

Bioengineering (Basel, Switzerland)
|June 26, 2025
PubMed
Summary
This summary is machine-generated.

Patients with mild cervical spondylotic myelopathy (CSM) who maintain normal spinal cord function (SUVmax) show better surgical outcomes. MRI radiomics can predict these functional changes, aiding preoperative assessment.

Keywords:
PET-MRIcervical spondylotic myelopathymachine learningradiomics

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Area of Science:

  • Neurosurgery
  • Radiology
  • Artificial Intelligence

Background:

  • Mild cervical spondylotic myelopathy (CSM) poses a risk of progression if surgery is delayed.
  • Positron Emission Tomography (PET) assesses spinal cord function but has limitations (cost, radiation).

Purpose of the Study:

  • To evaluate the utility of 18F-FDG PET-MRI in assessing spinal cord function in mild CSM.
  • To develop and validate machine learning models using MRI radiomics for predicting spinal cord function changes and identifying stenosis.

Main Methods:

  • Prospective study involving patients with mild cervical spondylosis undergoing preoperative 18F-FDG PET-MRI.
  • Classification of narrowed spinal levels based on SUVmax (Standardized Uptake Value maximum).
  • Development of two machine learning models (radiomics) to detect stenosis and predict decreased SUVmax.

Main Results:

  • Patients with normal SUVmax demonstrated greater symptom improvement post-assessment.
  • Radiomics models achieved high performance in stenosis detection (AUCs 0.981/0.962) and SUVmax decline prediction (AUCs 0.830/0.812).
  • The developed model significantly outperformed clinicians in predicting SUVmax decline (10% AUC improvement).

Conclusions:

  • Preserved spinal cord function (normal SUVmax) correlates with better patient outcomes.
  • MRI-based radiomics shows promise as a non-invasive tool for preoperative assessment of spinal cord function and stenosis in CSM.
  • Larger studies are required to confirm the clinical utility of this approach.