Corpus Callosum Atrophy--a Simple Predictor of Multiple Sclerosis Progression: a Longitudinal 9-year Study
Overview
Affiliations
Aim: To determine whether corpus callosum atrophy predicts future clinical deterioration in multiple sclerosis.
Methods: In 39 multiple sclerosis patients the area of corpus callosum in the sagittal plane, T2 and T1 lesion volumes, brain parenchymal fraction and brain atrophy were determined at baseline and 1 year after treatment initiation. Non-parametric and multiple regression models were built to identify the most reliable predictors of disability and of its changes over 9 years.
Results: Corpus callosum atrophy during the first year of treatment was the best predictor of disability (r = -0.56) and of its increase at 9 years (r = 0.65). Corpus callosum atrophy of at least 2% predicted increase in disability with 93% sensitivity and 73% specificity (odds ratio = 35).
Conclusion: Corpus callosum atrophy is a simple and accurate predictor of future disability accumulation and is feasible for routine clinical practice.
Strautmane S, Balodis A, Teivane A, Grabovska D, Naudins E, Urbanovics D Medicina (Kaunas). 2023; 59(6).
PMID: 37374286 PMC: 10302807. DOI: 10.3390/medicina59061082.
Grey matter atrophy in patients with benign multiple sclerosis.
Niiranen M, Koikkalainen J, Lotjonen J, Selander T, Cajanus A, Hartikainen P Brain Behav. 2022; 12(7):e2679.
PMID: 35765699 PMC: 9304852. DOI: 10.1002/brb3.2679.
Perivascular space is associated with brain atrophy in patients with multiple sclerosis.
Liu X, Ma G, Wang S, Gao Q, Guo C, Wei Q Quant Imaging Med Surg. 2022; 12(2):1004-1019.
PMID: 35111601 PMC: 8739126. DOI: 10.21037/qims-21-705.
Corpus callosum index correlates with brain volumetry and disability in multiple sclerosis patients.
Sugijono S, Mulyadi R, Firdausia S, Prihartono J, Estiasari R Neurosciences (Riyadh). 2020; 25(3):193-199.
PMID: 32683399 PMC: 8015480. DOI: 10.17712/nsj.2020.3.20190093.
Raji A, Ostwaldt A, Opfer R, Suppa P, Spies L, Winkler G Front Neurol. 2018; 9:545.
PMID: 30140245 PMC: 6095003. DOI: 10.3389/fneur.2018.00545.