Distribution Indices of Magnetic Susceptibility Values in the Primary Motor Cortex Enable to Classify Patients with Amyotrophic Lateral Sclerosis.

Amyotrophic Lateral Sclerosis Magnetic Resonance Imaging Quantitative Susceptibility Mapping diagnostic accuracy motor cortex radiological biomarker

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
18 Jul 2022
Historique:
received: 22 06 2022
revised: 14 07 2022
accepted: 15 07 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 28 7 2022
Statut: epublish

Résumé

Quantitative Susceptibility Mapping (QSM) can measure iron concentration increase in the primary motor cortex (M1) of patients with Amyotrophic Lateral Sclerosis (ALS). However, such alteration is confined to only specific regions interested by upper motor neuron pathology; therefore, mean QSM values in the entire M1 have limited diagnostic accuracy in discriminating between ALS patients and control subjects. This study investigates the diagnostic accuracy of a broader set of M1 QSM distribution indices in classifying ALS patients and controls. Mean, standard deviation, skewness and kurtosis of M1 QSM values were used either individually or as combined predictors in support vector machines. The classification performance was compared to that obtained by the radiological assessment of T2* signal hypo-intensity of M1 in susceptibility-weighted MRI. The least informative index for the classification of ALS patients and controls was the subject's mean QSM value in M1. The highest diagnostic performance was obtained when all the distribution indices of positive QSM values in M1 were considered, which yielded a diagnostic accuracy of 0.90, with sensitivity = 0.89 and specificity = 1. The radiological assessment of M1 yielded a diagnostic accuracy of 0.79, with sensitivity = 0.76 and specificity = 0.90. The joint evaluation of QSM distribution indices could support the clinical examination in ALS diagnosis and patient monitoring.

Identifiants

pubmed: 35884748
pii: brainsci12070942
doi: 10.3390/brainsci12070942
pmc: PMC9313208
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Mauro Costagli (M)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, 16132 Genoa, Italy.
Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, 56128 Pisa, Italy.

Graziella Donatelli (G)

Imago 7 Foundation, 56128 Pisa, Italy.
Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.

Paolo Cecchi (P)

Imago 7 Foundation, 56128 Pisa, Italy.
Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Paolo Bosco (P)

Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, 56128 Pisa, Italy.

Gianmichele Migaleddu (G)

Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.

Gabriele Siciliano (G)

Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.

Mirco Cosottini (M)

Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.

Classifications MeSH