How does brain MRI lesion volume change on serial scans in patients with multiple sclerosis?
Although lesion load changes on conventional T2-weighted brain magnetic resonance imaging (MRI) scans from patients with multiple sclerosis (MS) are used to monitor the effect of treatment, there is no clear definition of how lesion load changes over years according to the lesion load present at a baseline evaluation. In the present study, we evaluated the relationship between lesion load changes over time and lesion load at a baseline evaluation in a group of untreated patients with MS. We scanned nineteen patients on two separate occasions with a mean interval 16.4 months between the two examinations. In each scanning session, a scan with forty contiguous 3-mm-thick axial slices was acquired. We assessed MRI lesion loads using a semi-automated local thresholding technique. Both a linear (p < 0.0001) and a quadratic component (p = 0.0008) of the baseline volume were significant in describing the follow-up volume. The equation to model this finding was as follows: Vf = beta0 Vb + beta1 (Vb)2, where Vf is the lesion volume at follow-up, Vb is the lesion volume at baseline, beta0 = 0.834 (SE = 0.098), and beta1 = 0.014 (SE = 0.003) (mL)(-1). Our data indicate that lesion volume changes detectable on serial brain MRI studies from patients with MS are dependent on the extent of lesion burden present on the baseline MRI scans. This finding has to be considered when planning phase III trials.
Filippi
M
M
Department of Neurology, Scientific Institute Ospedale San Raffaele, University of Milan, Italy. massimo@cabserv.hsr.it
Sormani
M P
MP
Rovaris
M
M
Comi
G
G
D000328:Adult; D001921:Brain / Q000473:pathology*; D002908:Chronic Disease; D005260:Female; D006801:Humans; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data; D008297:Male; D009103:Multiple Sclerosis / Q000175:diagnosis*; D012008:Recurrence; D018709:Statistics, Nonparametric; D013997:Time Factors