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Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

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Published on: July 19, 2019

Normalized upper cervical spinal cord atrophy in multiple sclerosis.

Feng Song1, Yi Huan, Hong Yin

  • 1Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|March 6, 2008
PubMed
Summary
This summary is machine-generated.

Normalizing upper cervical spinal cord area (UCCA) with LECA improves accuracy in multiple sclerosis (MS) studies. Normalized UCCA better correlates with neurological disability (EDSS) than absolute measurements.

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Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Physics

Background:

  • Accurate measurement of upper cervical spinal cord area (UCCA) is crucial for understanding neurological conditions.
  • Existing methods for UCCA measurement may lack precision in cross-sectional studies.
  • The need for a reliable normalizing factor for UCCA has been identified.

Purpose of the Study:

  • To identify an optimal normalizing factor for upper cervical spinal cord area (UCCA).
  • To determine if normalized UCCA correlates better with neurological disability than absolute UCCA measurements in multiple sclerosis (MS) patients.
  • To evaluate the utility of normalized UCCA in cross-sectional studies of MS.

Main Methods:

  • Magnetic resonance imaging (MRI) data were used to estimate UCCA and three potential normalizing factors in 51 control subjects.
  • Reliability of UCCA and normalizing factors was assessed.
  • Linear relationships between UCCA and normalizing factors were investigated, leading to the selection of an optimal factor (LECA) applied to 29 MS patients.

Main Results:

  • A strong correlation (r=0.88) was observed between UCCA and LECA.
  • LECA normalization significantly reduced the coefficient of variation (COV) of UCCA from 9.3% to 4.4%.
  • Normalized UCCA showed a better correlation with the expanded disability status scale (EDSS) compared to absolute UCCA, particularly in relapsing-remitting MS patients.

Conclusions:

  • LECA is identified as an optimal correction factor for UCCA.
  • Normalized UCCA measurements are preferable to absolute measurements in cross-sectional studies.
  • The findings suggest improved identification of spinal cord atrophy using normalized UCCA data.