Defining brain volume cutoffs to identify clinically relevant atrophy in RRMS

Maria Pia Sormani, Ludwig Kappos, Ernst-Wilhelm Radue, Jeffrey Cohen, Frederik Barkhof, Till Sprenger, Daniela Piani Meier, Dieter Häring, Davorka Tomic, Nicola De Stefano

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

OBJECTIVE: To define values of normalized brain volume (NBV) that can be categorized as low, medium, or high, according to baseline characteristics of relapsing-remitting multiple sclerosis (RRMS) patients.

METHODS: Expected NBV (eNBV) was calculated for each patient based on age, disease duration, sex, baseline Expanded Disability Status Scale (EDSS), and T2-lesion volume, entering these variables into a multiple regression model run on 2342 RRMS patients (pooled FREEDOMS/FREEDOMS-II population). According to the difference between their observed NBV and their eNBV, patients were classified as having low NBV, medium NBV, or high NBV. We evaluated whether these NBV categories were clinically meaningful by assessing correlation with disability worsening.

RESULTS: The distribution of differences between observed NBV and eNBV was used to categorize patients as having low NBV, medium NBV or high NBV. Taking the high-NBV group as reference, the hazard ratios (HRs) for 2-year disability worsening, adjusted for treatment effect, were 1.23 (95% confidence interval (CI): 0.92-1.63, p = 0.16) for the medium NBV and 1.75 (95% CI: 1.26-2.44, p = 0.001) for the low NBV. The predictive value of NBV groups was preserved over 4 years. Treatment effect appeared more evident in low-NBV patients (HR = 0.58) than in medium-NBV (HR = 0.72) and in high-NBV (HR = 0.80) patients; however, the difference was not significant ( p = 0.57).

CONCLUSION: RRMS patients can be categorized into disability risk groups based on individual eNBV values according to baseline demographics and clinical characteristics.

Original languageEnglish
Pages (from-to)656-664
Number of pages9
JournalMultiple Sclerosis
Volume23
Issue number5
DOIs
Publication statusPublished - Apr 2017

Cite this

Sormani, M. P., Kappos, L., Radue, E-W., Cohen, J., Barkhof, F., Sprenger, T., ... De Stefano, N. (2017). Defining brain volume cutoffs to identify clinically relevant atrophy in RRMS. Multiple Sclerosis, 23(5), 656-664. https://doi.org/10.1177/1352458516659550