Related Experiment Video
Updated: Mar 2, 2026
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Three-Dimensional Shape and Surface Features Distinguish Multiple Sclerosis Lesions from Nonspecific White Matter
Braeden D Newton1, Katy Wright1, Mandy D Winkler1
1UT Southwestern Medical Center, Department of Neurology & Neurotherapeutics, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Clinical Center for Multiple Sclerosis, Dallas, TX.
Background And Purpose:
There remains a need to further refine the ability of clinicians to differentiate multiple sclerosis (MS) from other disease etiologies. Here, we illustrate the value of 3-dimensional (3D) geometric shape and surface lesion characteristics between disease states.
Methods:
Standardized 3-Tesla 3D brain magnetic resonance imaging studies were performed on enrolled MS and nonspecific white matter (NSWM) patients. Focal supratentorial lesions were identified, reconstructed using maximum intensity projection, manually segmented, and 3D printed. Printed 3D models were randomly evaluated by three blinded raters for selected shape and surface characteristics. Regression models adjusting for age, disease duration, and individual patient effects were applied to assess lesion characteristics between patient groups. Patient-level and latent class analyses between groups were performed.
Results:
A total of 1,001 supratentorial lesions were analyzed (710 MS; 291 NSWM) from 30 patients (19 with confirmed MS [11 female; median age = 33.6 years, range: 26.9-54.5], median disease duration = 2.2 years [.4-19.4]), 11 with verified nonspecific white matter (NSWM) disease without MS (11 female; median age = 55.0 years, range: 27.9-66.2). Lesions originating from MS in comparison to NSWM patients demonstrated a higher percentage of asymmetry (75.9% vs. 43%; OR: 4.39 [2.37-8.12]; P < .001), complex surface morphologies (65.9% vs. 27.8%; OR: 2.3 [1.74-3.05]; P < .001), and were multilobular (11.0% vs. .3%, P < .001), and elongated (12.8% vs. 2.4%, P < .001) in shape. Spatially, these traits were of higher frequency within the juxtacortical, deep white matter, and periventricular regions.
Conclusion:
Three-dimensional lesion data may provide new biologic insights related to injury along with offering another approach for determining the origin of lesion types.
