Diagnostic magnetic resonance imaging biomarkers for facioscapulohumeral muscular dystrophy identified by machine learning

2021 ◽  
Author(s):  
Mauro Monforte ◽  
Sara Bortolani ◽  
Eleonora Torchia ◽  
Lara Cristiano ◽  
Francesco Laschena ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Muscular Dystrophy ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Imaging Biomarkers ◽  
Resonance Imaging

Magnetic resonance imaging in a large cohort of facioscapulohumeral muscular dystrophy patients: Pattern refinement and implications for clinical trials

2016 ◽  
Vol 79 (5) ◽  
pp. 854-864 ◽  
Author(s):  
Giorgio Tasca ◽  
Mauro Monforte ◽  
Pierfrancesco Ottaviani ◽  
Marco Pelliccioni ◽  
Roberto Frusciante ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Clinical Trials ◽  
Magnetic Resonance ◽  
Muscular Dystrophy ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Large Cohort ◽  
Resonance Imaging

scholarly journals Different Molecular Signatures in Magnetic Resonance Imaging-Staged Facioscapulohumeral Muscular Dystrophy Muscles

PLoS ONE ◽  
2012 ◽  
Vol 7 (6) ◽  
pp. e38779 ◽  
Author(s):  
Giorgio Tasca ◽  
Mario Pescatori ◽  
Mauro Monforte ◽  
Massimiliano Mirabella ◽  
Elisabetta Iannaccone ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Muscular Dystrophy ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Molecular Signatures ◽  
Resonance Imaging

The magnetic resonance imaging spectrum of facioscapulohumeral muscular dystrophy

2012 ◽  
Vol 45 (4) ◽  
pp. 500-506 ◽  
Author(s):  
Seth D. Friedman ◽  
Sandra L. Poliachik ◽  
Gregory T. Carter ◽  
Christopher B. Budech ◽  
Thomas D. Bird ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Muscular Dystrophy ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Resonance Imaging

Magnetic resonance imaging correlates with electrical impedance myography in facioscapulohumeral muscular dystrophy

2020 ◽  
Vol 61 (5) ◽  
pp. 644-649 ◽  
Author(s):  
Johanna Hamel ◽  
Phil Lee ◽  
Melanie D. Glenn ◽  
Tekalign Burka ◽  
In‐Young Choi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Muscular Dystrophy ◽  
Electrical Impedance ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Resonance Imaging

scholarly journals Neuroanatomic markers of post-traumatic epilepsy based on magnetic resonance imaging and machine learning

2020 ◽  
Author(s):  
Haleh Akrami ◽  
Richard M Leahy ◽  
Andrei Irimia ◽  
Paul E Kim ◽  
Christianne Heck ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Brain Lesion ◽  
Imaging Biomarkers ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Post Traumatic ◽  
Post Traumatic Epilepsy ◽  
Traumatic Epilepsy

Although post-traumatic epilepsy (PTE) is a common complication of traumatic brain injury (TBI), the relationship between these conditions is unclear, early PTE detection and prevention being major unmet clinical challenges. This study aims to identify imaging biomarkers that distinguish PTE and non-PTE subjects among TBI survivors based on a magnetic resonance imaging (MRI) dataset. We performed tensor-based morphometry to analyze brain shape changes associated with TBI and to derive imaging features for statistical group comparison. Additionally, machine learning was used to identify structural anomalies associated with brain lesions. Automatically generated brain lesion maps were used to identify brain regions where lesion load may indicate an increased incidence of PTE. Statistical analysis suggests that lesions in the temporal lobes, cerebellum, and the right occipital lobe are associated with an increased PTE incidence.

Machine Learning‐Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer

2021 ◽  
Author(s):  
Alejandro Rodríguez‐Ortega ◽  
Alberto Alegre ◽  
Víctor Lago ◽  
José Miguel Carot‐Sierra ◽  
Amadeo Ten‐Esteve ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Endometrial Cancer ◽  
Magnetic Resonance ◽  
Myometrial Invasion ◽  
Imaging Biomarkers ◽  
Resonance Imaging

Deep phenotyping of facioscapulohumeral muscular dystrophy type 2 by magnetic resonance imaging

2020 ◽  
Vol 27 (12) ◽  
pp. 2604-2615 ◽  
Author(s):  
G. Giacomucci ◽  
M. Monforte ◽  
J. Diaz‐Manera ◽  
K. Mul ◽  
R. Fernandez Torrón ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Muscular Dystrophy ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Resonance Imaging ◽  
Deep Phenotyping
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