Brain regional volume estimations with NeuroQuant and FIRST: a study in patients with a clinically isolated syndrome

Deborah Pareto, Jaume Sastre-Garriga, Manel Alberich, Cristina Auger, Mar Tintoré, Xavier Montalban, Àlex Rovira

    Research output: Contribution to journalArticleResearch

    6 Citations (Scopus)


    © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Purpose: Brain volume estimates from magnetic resonance images (MRIs) are of great interest in multiple sclerosis, and several automated tools have been developed for this purpose. The goal of this study was to assess the agreement between two tools, NeuroQuant® (NQ) and FMRIB’s Integrated Registration Segmentation Tool (FIRST), for estimating overall and regional brain volume in a cohort of patients with a clinically isolated syndrome (CIS). In addition, white matter lesion volume was estimated with NQ and the Lesion Segmentation Toolbox (LST). Methods: One hundred fifteen CIS patients were analysed. Structural images were acquired on a 3.0-T system. The volume agreement between methods (by estimation of the intraclass correlation coefficient) was calculated for the right and left thalamus, caudate, putamen, pallidum, hippocampus, and amygdala, as well as for the total intracranial volume and white matter lesion volume. Results: In general, the estimated volumes were larger by NQ than FIRST, except for the pallidum. Agreement was low (ICC < 0.40) for the smaller structures (amygdala and pallidum) and fair to good (ICC > 0.40) for the remaining ones. Agreement was fair for lesion volume (ICC = 0.61), with NQ estimates lower than LST. Conclusions: Agreement between NQ and FIRST brain volume estimates depends on the size of the structure of interest, with larger volumes achieving better agreement. In addition, concordance between the two tools does seem to be dependent on the presence of brain lesions.
    Original languageEnglish
    Pages (from-to)667-674
    Publication statusPublished - 1 Jun 2019


    • Brain lesion volume estimation
    • Brain volume estimation
    • Clinically isolated syndrome
    • Multiple sclerosis


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