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A clinically feasible 7-Tesla protocol for the identification of cortical lesions in Multiple Sclerosis.
Cocozza, Sirio; Cosottini, Mirco; Signori, Alessio; Fleysher, Lazar; El Mendili, Mohamed Mounir; Lublin, Fred; Inglese, Matilde; Roccatagliata, Luca.
Afiliação
  • Cocozza S; Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
  • Cosottini M; Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
  • Signori A; Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
  • Fleysher L; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, USA.
  • El Mendili MM; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Lublin F; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Inglese M; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, USA. m.inglese@unige.it.
  • Roccatagliata L; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI) and Center of Excellence for Biomedical Research (CEBR), University of Genoa, Largo Paolo Daneo 3, Genoa, Italy. m.inglese@unige.it.
Eur Radiol ; 30(8): 4586-4594, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32211962
OBJECTIVES: The aim of this study was to evaluate the capability of sequences acquired on a 7-T MRI scanner, within times and anatomical coverage appropriate for clinical studies, to identify cortical lesions (CLs) in patients with Multiple Sclerosis (MS). Furthermore, we aimed to confirm the clinical significance of CL, testing the correlations between gray matter (GM) lesions and clinical scores. METHODS: A 7-T MRI protocol included 3D-T1-weighted and T2*-weighted sequences. Images were evaluated independently by three readers of different experience, and the number of CLs was recorded. Between-rater concordance was assessed calculating the intraclass correlation coefficient (ICC). Lin's concordance correlation coefficient was used to compare CL detection between sequences, while partial correlations and multivariable regression models were used to study the relationship between CL and clinical data. RESULTS: Forty MS patients (M/F, 17/23; 44.7 ± 12.6 years) were enrolled in this study, and CLs were identified in 35/40 subjects (87.5%). CL detection rate on 3D-T1-weighted images was significantly correlated with the detection rate on T2*-weighted images (r = 0.99; p < 0.001), with high concordance between readers (ICC ≥ 0.995). CLs were significantly correlated with both motor and cognitive scores (all with p ≤ 0.04). CONCLUSIONS: CL can be identified over the whole brain at 7-T in MS using a 3D-T1-weighted volume, acquired in a clinically feasible time and with comparable performance to that achievable using the T2*-weighted sequence. Based on the central role of CL in the development of clinical disability, we suggest that 3D-T1-weighted volume may play a role in the evaluation of CL in MS undergoing MRI on ultra-high-field scanners. KEY POINTS: • Cortical lesions can be identified in a clinically feasible time with a 7-T protocol, which includes a 3D-T1-weighted volume. • Cortical lesions correlated significantly with both motor and cognitive disability in MS patients. • Given their correlation with clinical disability, evaluation of a cortical lesion on a 7-T clinical protocol could help in the management of MS patients.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Córtex Cerebral / Imageamento Tridimensional / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Córtex Cerebral / Imageamento Tridimensional / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article