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A simplified approach to define cervical vertebral levels in spinal cord MRI studies.

Authors :
Papinutto, Nico
Perretti, Ilaria
Mallott, Jacob
Cheng, Shuiting
Cooper, Tiffany
Gomez, Refujia
Stern, William A.
Pichiecchio, Anna
Caverzasi, Eduardo
Henry, Roland G.
Source :
Journal of Neuroimaging; Nov/Dec2024, Vol. 34 Issue 6, p639-645, 7p
Publication Year :
2024

Abstract

Background and Purpose: Spinal cord (SC) cross‐sectional areas (CSAs) assessed with MRI have proven to be extremely valuable imaging markers in several diseases. Among the challenges is the delineation of vertebral levels to determine level‐dependent changes in cord atrophy. With this study, we aimed to (1) test the hypothesis that there is proportionality in the position of the first six intervertebral discs and the length of the upper portion of the SC and (2) show that a proportionality approach can simplify the CSA assessment across vertebrae offering good reliability. Methods: Forty‐six volunteers underwent standard T2‐weighted and T1‐weighted cervical SC MRI acquisitions. The distance between the obex and the intervertebral discs (from C2‐C3 to T1‐T2) was measured on the T2‐weighted acquisitions of the entire cohort. In a test‐retest experiment on 12 subjects, the % disc position values were used to define vertebral levels, and a comparison was performed with manual vertebrae assignment in terms of mean CSA and its coefficient of variation. Results: The mean upper cord length for the cohort was 144.0 ± 13.1 mm. The discs' level % position in the upper cord was found to be fairly consistent, with standard deviations of 0.8%‐1.7%. The mean vertebral CSA obtained with the proportionality method was substantially equivalent to the manual approach in terms of mean CSA values and test‐retest reliability. Conclusions: With this study, we propose a proportionality method for the assignment of cervical SC vertebral levels that can simplify the processing of MRI datasets in the context of CSA measurements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10512284
Volume :
34
Issue :
6
Database :
Complementary Index
Journal :
Journal of Neuroimaging
Publication Type :
Academic Journal
Accession number :
180802598
Full Text :
https://doi.org/10.1111/jon.13240