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Abstract #3266

Distribution indices of QSM values in M1 enable to classify ALS patients and healthy controls

Mauro Costagli1,2, Graziella Donatelli3,4, Paolo Cecchi3,4, Gabriele Siciliano4,5, and Mirco Cosottini3,4,5
1University of Genova, Genova, Italy, 2IRCCS Stella Maris, Pisa, Italy, 3IMAGO 7 Research Foundation, Pisa, Italy, 4Azienda Ospedaliero Universitaria Pisana, Pisa, Italy, 5University of Pisa, Pisa, Italy

The Primary Motor Cortex (M1) in Amyotrophic Lateral Sclerosis (ALS) patients and healthy controls (HC) has a different appearance in Quantitative Susceptibility Mapping (QSM) images. The purpose of this study was to identify a set of distribution indices of QSM values in M1 that enable to better classify ALS patients and HC. Taken individually, the mean value, standard deviation, skewness and kurtosis of the QSM value distributions enabled to obtain diagnostic accuracies 0.43 < A < 0.78. When the distribution indices were jointly used in support vector machine (SVM) classifiers, it was possible to achieve a diagnostic accuracy of 0.90.

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