An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions [ADULT BRAIN]

CONCLUSIONS:
This study introduces a novel technique for counting pathologically distinct lesions using cross-sectional data and demonstrates its ability to recover obscured longitudinal information. The proposed count allows more accurate estimation of lesion size, which correlated more closely with disability scores than either lesion load or lesion count alone.

Source: American Journal of Neuroradiology - April 10, 2018 Category: Radiology Authors: Dworkin, J. D., Linn, K. A., Oguz, I., Fleishman, G. M., Bakshi, R., Nair, G., Calabresi, P. A., Henry, R. G., Oh, J., Papinutto, N., Pelletier, D., Rooney, W., Stern, W., Sicotte, N. L., Reich, D. S., Shinohara, R. T., the North American Imaging in Multi Tags: ADULT BRAIN Source Type: research