Tomas Uher1, Jan Krasensky2, Manuela Vaneckova2, Lukas Sobisek3, Zdenek Seidl2, Eva Havrdova1, Niels Bergsland4,5, Michael G Dwyer4, Dana Horakova1, Robert Zivadinov4,6. 1. Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic. 2. Department of Radiodiagnostics, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic. 3. Department of Statistics and Probability, University of Economics in Prague, Czech Republic. 4. Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY. 5. IRCCS "S.Maria Nascente", Don Gnocchi Foundation, Milan, Italy. 6. MR Imaging Clinical Translational Research Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.
Abstract
BACKGROUND AND PURPOSE: Lesion burden and brain volume changes are frequent end points in research but nowadays are becoming important in the clinical practice of multiple sclerosis (MS). The objective of this study was to investigate the correlation between magnetic resonance imaging (MRI) measures obtained by in-house developed ScanView software and commonly used volumetric techniques for assessment of T2 lesion and whole brain volumes and their changes. METHODS: Together 3,340 MRI scans from 209 patients after first demyelinating event suggestive of MS, 181 relapsing-remitting MS patients and 43 controls were analyzed. The average number of MRI scans and follow-up duration was 8.2 and 6.5 years, respectively. All MRI scans were performed in a single center but independently analyzed in two neuroimaging centers. Volumetric analysis by ScanView software was applied in Prague. Commonly used techniques, such as SIENA, SIENAX, and Jim software, were applied in Buffalo. Correlations between MRI measures were evaluated using correlation coefficients. Intraindividual variability of longitudinal MRI data was estimated by mean squared error. RESULTS: The associations of the cross-sectional and longitudinal MRI measures between commonly used techniques and ScanView were significant (r/rho = .83-.95). The associations of cross-sectional MRI measures were stronger (r/rho = .90-.95) compared with longitudinal ones (r = .83). Standardized intraindividual variability of whole brain % volume change was greater in ScanView compared with SIENA (mean squared error .32 vs. .21; P < .001). CONCLUSIONS: We found relatively strong correlations of cross-sectional and longitudinal data obtained by both techniques. However, SIENA showed lower intraindividual variability than the ScanView method in measuring whole brain volume loss over time.
RCT Entities:
BACKGROUND AND PURPOSE: Lesion burden and brain volume changes are frequent end points in research but nowadays are becoming important in the clinical practice of multiple sclerosis (MS). The objective of this study was to investigate the correlation between magnetic resonance imaging (MRI) measures obtained by in-house developed ScanView software and commonly used volumetric techniques for assessment of T2 lesion and whole brain volumes and their changes. METHODS: Together 3,340 MRI scans from 209 patients after first demyelinating event suggestive of MS, 181 relapsing-remitting MS patients and 43 controls were analyzed. The average number of MRI scans and follow-up duration was 8.2 and 6.5 years, respectively. All MRI scans were performed in a single center but independently analyzed in two neuroimaging centers. Volumetric analysis by ScanView software was applied in Prague. Commonly used techniques, such as SIENA, SIENAX, and Jim software, were applied in Buffalo. Correlations between MRI measures were evaluated using correlation coefficients. Intraindividual variability of longitudinal MRI data was estimated by mean squared error. RESULTS: The associations of the cross-sectional and longitudinal MRI measures between commonly used techniques and ScanView were significant (r/rho = .83-.95). The associations of cross-sectional MRI measures were stronger (r/rho = .90-.95) compared with longitudinal ones (r = .83). Standardized intraindividual variability of whole brain % volume change was greater in ScanView compared with SIENA (mean squared error .32 vs. .21; P < .001). CONCLUSIONS: We found relatively strong correlations of cross-sectional and longitudinal data obtained by both techniques. However, SIENA showed lower intraindividual variability than the ScanView method in measuring whole brain volume loss over time.
Authors: Marsilio Adriani; Petra Nytrova; Cyprien Mbogning; Signe Hässler; Karel Medek; Poul Erik H Jensen; Paul Creeke; Clemens Warnke; Kathleen Ingenhoven; Bernhard Hemmer; Claudia Sievers; Raija Lp Lindberg Gasser; Nicolas Fissolo; Florian Deisenhammer; Zsolt Bocskei; Vincent Mikol; Anna Fogdell-Hahn; Eva Kubala Havrdova; Philippe Broët; Pierre Dönnes; Claudia Mauri; Elizabeth C Jury Journal: JCI Insight Date: 2018-06-07
Authors: Tomas Uher; Jan Krasensky; Lukas Sobisek; Jana Blahova Dusankova; Zdenek Seidl; Eva Kubala Havrdova; Maria Pia Sormani; Dana Horakova; Tomas Kalincik; Manuela Vaneckova Journal: Ann Clin Transl Neurol Date: 2017-12-15 Impact factor: 4.511
Authors: Jiri Motyl; Lucie Friedova; Manuela Vaneckova; Jan Krasensky; Balazs Lorincz; Jana Blahova Dusankova; Michaela Andelova; Tom A Fuchs; Eva Kubala Havrdova; Ralph H B Benedict; Dana Horakova; Tomas Uher Journal: Diagnostics (Basel) Date: 2021-03-07