Computer-assisted quantitation of enhancing lesions in multiple sclerosis: correlation with clinical classification.
OBJECTIVE
To study the utility of a computer-assisted method of quantitating enhancing multiple sclerosis (MS) lesions and to correlate this quantitation with the type and duration of disease.


METHODS
Forty untreated patients with MS were studied. The patients had been classified clinically as having either relapsing-remitting (n = 27) or chronic-progressive (n = 13) disease. Postcontrast contiguous 3-mm-thick MR images of the brain were obtained for up to 3 years. The computer program selected potential lesion sites automatically on the basis of the theory of "fuzzy connectedness," which was incorporated into 3DVIEWNIX software. True lesions were selected from these previously detected potential lesions by means of yes/no responses to the program query. The number of enhancing lesions and the enhancing lesions volume were subsequently computed.


RESULTS
The enhancing lesion volume in patients with relapsing-remitting disease was statistically significantly higher than that of patients with chronic-progressive disease. There was a strong positive correlation between the number of enhancing lesions and the enhancing lesion volume. No significant correlation was noted between the change in score on the expanded disability status scale (EDSS) and the change in the number of enhancing lesions, or between the change in EDSS score and the change in enhancing lesion volume. A negative correlation was found between enhancing lesion volume and duration of disease, and between the number of enhancing lesions and duration of disease in the patients who had enhancing lesions.


CONCLUSIONS
Our data suggest that enhancing lesion volume reflects differences in the classification of clinical MS and in the disease activity over time. Computer-assisted quantitation of enhancing lesion volume is a robust, practical, and objective measure of MS activity.
Miki
Y
Y
Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia 19104, USA.
Grossman
R I
RI
Udupa
J K
JK
Samarasekera
S
S
van Buchem
M A
MA
Cooney
B S
BS
Pollack
S N
SN
Kolson
D L
DL
Constantinescu
C
C
Polansky
M
M
Mannon
L J
LJ
D000328:Adult; D001921:Brain / Q000473:pathology*; D002908:Chronic Disease; D003287:Contrast Media; D004185:Disability Evaluation; D018450:Disease Progression; D005260:Female; D005500:Follow-Up Studies; D017143:Fuzzy Logic; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000145:classification / Q000175:diagnosis* / Q000473:pathology; D011446:Prospective Studies; D012008:Recurrence; D012075:Remission, Spontaneous; D012984:Software
D003287:Contrast Media