TY - JOUR
T1 - Brain regional volume estimations with NeuroQuant and FIRST: a study in patients with a clinically isolated syndrome
AU - Pareto, Deborah
AU - Sastre-Garriga, Jaume
AU - Alberich, Manel
AU - Auger, Cristina
AU - Tintoré, Mar
AU - Montalban, Xavier
AU - Rovira, Àlex
PY - 2019/6/1
Y1 - 2019/6/1
N2 - © 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.
AB - © 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.
KW - Brain lesion volume estimation
KW - Brain volume estimation
KW - Clinically isolated syndrome
KW - Multiple sclerosis
U2 - 10.1007/s00234-019-02191-3
DO - 10.1007/s00234-019-02191-3
M3 - Article
C2 - 30834955
VL - 61
SP - 667
EP - 674
JO - Neuroradiology
JF - Neuroradiology
SN - 0028-3940
ER -