A clinically feasible 7-Tesla protocol for the identification of cortical lesions in Multiple Sclerosis
A clinically feasible 7-Tesla protocol for the identification of cortical lesions in Multiple Sclerosis
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DOI:
10.1007/s00330-020-06803-y
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发表时间:
2020-03-24
影响因子:
5.9
通讯作者:
Roccatagliata, Luca
中科院分区:
文献类型:
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作者:
Cocozza, Sirio;Cosottini, Mirco;Roccatagliata, Luca
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