Biological variation in cervical spinal cord MRI morphometry in healthy individuals and people with multiple sclerosis

Author:

Cook Sarah R.12,Vasamreddy Kritin1,Combes Anna13,Vandekar Simon4,Visagie Mereze1,Houston Delaney1,Wald Lily1,Kumar Ashwin15,McGrath Megan1,McKnight Colin D.6,Bagnato Francesca78,Smith Seth A.169,O'Grady Kristin P.169ORCID

Affiliation:

1. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville Tennessee USA

2. Yale College Yale University New Haven Connecticut USA

3. NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology University College London London UK

4. Department of Biostatistics Vanderbilt University Medical Center Nashville Tennessee USA

5. Department of Radiology Stanford University Stanford California USA

6. Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee USA

7. Neuroimaging Unit, Neuroimmunology Division, Department of Neurology Vanderbilt University Medical Center Nashville Tennessee USA

8. Department of Neurology VA Hospital, TN Valley Healthcare Center Nashville Tennessee USA

9. Department of Biomedical Engineering Vanderbilt University Nashville Tennessee USA

Abstract

AbstractBackground and PurposeConclusions from prior literature regarding the impact of sex, age, and height on spinal cord (SC) MRI morphometrics are conflicting, while the effect of body weight on SC morphometrics has been found to be nonsignificant. The purpose of this case‐control study is to assess the associations between cervical SC MRI morphometric parameters and age, sex, height, and weight to establish their potential role as confounding variables in a clinical study of people with multiple sclerosis (MS) compared to a cohort of healthy volunteers.MethodsSixty‐nine healthy volunteers and 31 people with MS underwent cervical SC MRI at 3 Tesla field strength. Images were centered at the C3/C4 intervertebral disc and processed using Spinal Cord Toolbox v.4.0.2. Mixed‐effects linear regression models were used to evaluate the effects of biological variables and disease status on morphometric parameters.ResultsSex, age, and height had significant effects on cord and gray matter (GM) cross‐sectional area (CSA) as well as the GM:cord CSA ratio. There were no significant effects of body weight on morphometric parameters. The effect of MS disease duration on cord CSA in the C4 level was significant when controlling for all other variables.ConclusionsStudies of disease‐related changes in SC morphometry should control for sex, age, and height to account for physiological variation.

Funder

National Institutes of Health

National Multiple Sclerosis Society

Publisher

Wiley

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