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A. Todea, L. Melie-García, M. Barakovic, A. Cagol, R. Rahmanzadeh, R. Galbusera, Po-Jui Lu, M. Weigel, E. Ruberte, E. Radue, Sabine A. Schaedelin, P. Benkert, Yaldizli Oezguer, T. Sinnecker, S. Müller, L. Achtnichts, J. Vehoff, G. Disanto, O. Findling, A. Chan, A. Salmen, C. Pot, P. Lalive, C. Bridel, C. Zecca, T. Derfuss, L. Remonda, F. Wagner, Maria Vargas, R. D. Du Pasquier, E. Pravatà, J. Weber, C. Gobbi, D. Leppert, J. Wuerfel, Thomas Kober, B. Maréchal, Ricardo Corredor-Jerez, M. Psychogios, J. Lieb, L. Kappos, M. Cuadra, J. Kuhle, C. Granziera
6 28. 1. 2023.

A Multicenter Longitudinal MRI Study Assessing LeMan‐PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients

Detecting new and enlarged lesions in multiple sclerosis (MS) patients is needed to determine their disease activity. LeMan‐PV is a software embedded in the scanner reconstruction system of one vendor, which automatically assesses new and enlarged white matter lesions (NELs) in the follow‐up of MS patients; however, multicenter validation studies are lacking.


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