A clinically feasible 7-Tesla protocol for the identification of cortical lesions in Multiple Sclerosis
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 clinica...
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| Vydané v: | European radiology Ročník 30; číslo 8; s. 4586 - 4594 |
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| Hlavní autori: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.08.2020
Springer Nature B.V |
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| ISSN: | 0938-7994, 1432-1084, 1432-1084 |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. 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. 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. 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). 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. • 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. ObjectivesThe 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.MethodsA 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.ResultsForty 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).ConclusionsCL 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. 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.OBJECTIVESThe 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.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.METHODSA 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.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).RESULTSForty 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).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.CONCLUSIONSCL 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.• 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.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. |
| Author | Cocozza, Sirio Inglese, Matilde El Mendili, Mohamed Mounir Lublin, Fred Cosottini, Mirco Signori, Alessio Fleysher, Lazar Roccatagliata, Luca |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32211962$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1080_14728222_2020_1842358 crossref_primary_10_1016_j_nicl_2021_102847 crossref_primary_10_1212_NXI_0000000000000900 crossref_primary_10_1016_j_neurad_2023_11_007 crossref_primary_10_1016_j_nicl_2021_102904 crossref_primary_10_3390_brainsci11030346 crossref_primary_10_1186_s41747_021_00234_0 crossref_primary_10_1186_s41747_021_00216_2 crossref_primary_10_1097_WCO_0000000000001152 crossref_primary_10_1177_1352458520972270 crossref_primary_10_1093_brain_awac203 crossref_primary_10_1186_s41747_020_00186_x crossref_primary_10_1186_s41747_020_00198_7 |
| Cites_doi | 10.1212/01.wnl.0000250267.85698.7a 10.1080/14737175.2018.1433033 10.1097/WCO.0000000000000559 10.1093/brain/awv011 10.1002/ana.22366 10.1186/1471-2377-12-55 10.1001/archneurol.2009.174 10.1212/WNL.0b013e3182a08ce8 10.3174/ajnr.A6099 10.1177/1352458515620499 10.1212/WNL.0b013e3181b64bf7 10.1148/radiol.2019181719 10.1006/nimg.2002.1132 10.1093/jnen/62.7.723 10.3174/ajnr.A5534 10.1016/j.neuroimage.2011.04.009 10.3174/ajnr.A4418 10.3174/ajnr.A1434 10.1093/brain/aww037 10.1093/brain/122.1.17 10.1002/ana.1123 10.1038/nrneurol.2010.93 10.1212/WNL.0000000000000560 10.1002/jmri.22847 10.1001/archneurol.2010.148 10.1136/jnnp.25.4.315 10.1111/jon.12465 10.1001/jamaneurol.2015.1241 10.1002/brb3.955 10.1002/ana.21906 10.1371/journal.pone.0096193 10.1136/jnnp-2014-310142 |
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| Copyright | European Society of Radiology 2020 European Society of Radiology 2020. |
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| References_xml | – volume: 68 start-page: 634 year: 2007 end-page: 642 ident: CR5 article-title: Gray matter involvement in multiple sclerosis publication-title: Neurology doi: 10.1212/01.wnl.0000250267.85698.7a – volume: 18 start-page: 221 year: 2018 end-page: 230 ident: CR7 article-title: Clinical applications of ultra-high field magnetic resonance imaging in multiple sclerosis publication-title: Expert Rev Neurother doi: 10.1080/14737175.2018.1433033 – volume: 31 start-page: 249 year: 2018 end-page: 255 ident: CR1 article-title: MRI in multiple sclerosis: clinical and research update publication-title: Curr Opin Neurol doi: 10.1097/WCO.0000000000000559 – volume: 138 start-page: 932 year: 2015 end-page: 945 ident: CR13 article-title: A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging publication-title: Brain doi: 10.1093/brain/awv011 – volume: 69 start-page: 292 year: 2011 end-page: 302 ident: CR16 article-title: Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria publication-title: Ann Neurol doi: 10.1002/ana.22366 – volume: 12 start-page: 55 year: 2012 ident: CR18 article-title: Brief international cognitive assessment for MS (BICAMS): international standards for validation publication-title: BMC Neurol doi: 10.1186/1471-2377-12-55 – volume: 66 start-page: 1144 year: 2009 end-page: 1150 ident: CR29 article-title: Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis publication-title: Arch Neurol doi: 10.1001/archneurol.2009.174 – volume: 81 start-page: 641 year: 2013 end-page: 649 ident: CR26 article-title: Contribution of cortical lesion subtypes at 7T MRI to physical and cognitive performance in MS publication-title: Neurology doi: 10.1212/WNL.0b013e3182a08ce8 – volume: 40 start-page: 1162 year: 2019 end-page: 1169 ident: CR8 article-title: Comparison of multiple sclerosis cortical lesion types detected by multicontrast 3T and 7T MRI publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A6099 – volume: 22 start-page: 1306 year: 2016 end-page: 1314 ident: CR23 article-title: Ultra-high field MTR and qR2* differentiates subpial cortical lesions from normal-appearing gray matter in multiple sclerosis publication-title: Mult Scler doi: 10.1177/1352458515620499 – ident: CR33 – volume: 73 start-page: 941 year: 2009 end-page: 948 ident: CR12 article-title: In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI publication-title: Neurology doi: 10.1212/WNL.0b013e3181b64bf7 – volume: 291 start-page: 740 year: 2019 end-page: 749 ident: CR14 article-title: Longitudinal characterization of cortical lesion development and evolution in multiple sclerosis with 7.0-T MRI publication-title: Radiology doi: 10.1148/radiol.2019181719 – volume: 17 start-page: 825 year: 2002 end-page: 841 ident: CR19 article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images publication-title: Neuroimage doi: 10.1006/nimg.2002.1132 – volume: 62 start-page: 723 year: 2003 end-page: 732 ident: CR3 article-title: Subpial demyelination in the cerebral cortex of multiple sclerosis patients publication-title: J Neuropathol Exp Neurol doi: 10.1093/jnen/62.7.723 – volume: 39 start-page: 459 year: 2018 end-page: 466 ident: CR9 article-title: Improved visualization of cortical lesions in multiple sclerosis using 7T MP2RAGE publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A5534 – volume: 57 start-page: 55 year: 2011 end-page: 62 ident: CR10 article-title: In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis publication-title: Neuroimage doi: 10.1016/j.neuroimage.2011.04.009 – volume: 67 start-page: 376 year: 2010 end-page: 383 ident: CR30 article-title: A 3-year magnetic resonance imaging study of cortical lesions in relapse-onset multiple sclerosis publication-title: Ann Neurol – volume: 36 start-page: 2062 year: 2015 end-page: 2067 ident: CR24 article-title: Ultra-high-field MRI visualization of cortical multiple sclerosis lesions with T2 and T2*: a postmortem MRI and histopathology study publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A4418 – volume: 26 start-page: 572 year: 2005 end-page: 577 ident: CR20 article-title: Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology publication-title: AJNR Am J Neuroradiol – volume: 30 start-page: 699 year: 2009 end-page: 702 ident: CR25 article-title: First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5T and 7T publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A1434 – volume: 139 start-page: 1472 year: 2016 end-page: 1481 ident: CR28 article-title: Increased cortical grey matter lesion detection in multiple sclerosis with 7 T MRI: a post-mortem verification study publication-title: Brain doi: 10.1093/brain/aww037 – volume: 122 start-page: 17 issue: Pt 1 year: 1999 end-page: 26 ident: CR4 article-title: Cortical lesions in multiple sclerosis publication-title: Brain doi: 10.1093/brain/122.1.17 – volume: 50 start-page: 389 year: 2001 end-page: 400 ident: CR21 article-title: Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions publication-title: Ann Neurol doi: 10.1002/ana.1123 – volume: 6 start-page: 438 year: 2010 end-page: 444 ident: CR6 article-title: Cortical lesions in multiple sclerosis publication-title: Nat Rev Neurol doi: 10.1038/nrneurol.2010.93 – ident: CR15 – volume: 83 start-page: 278 year: 2014 end-page: 286 ident: CR17 article-title: Defining the clinical course of multiple sclerosis: the 2013 revisions publication-title: Neurology doi: 10.1212/WNL.0000000000000560 – volume: 35 start-page: 537 year: 2012 end-page: 542 ident: CR34 article-title: Focal cortical lesion detection in multiple sclerosis: 3 tesla DIR versus 7 tesla FLASH-T2 publication-title: J Magn Reson Imaging doi: 10.1002/jmri.22847 – ident: CR32 – volume: 67 start-page: 812 year: 2010 end-page: 818 ident: CR27 article-title: Imaging cortical lesions in multiple sclerosis with ultra-high-field magnetic resonance imaging publication-title: Arch Neurol doi: 10.1001/archneurol.2010.148 – volume: 25 start-page: 315 year: 1962 end-page: 320 ident: CR2 article-title: The distribution of plaques in the cerebrum in multiple sclerosis publication-title: J Neurol Neurosurg Psychiatry doi: 10.1136/jnnp.25.4.315 – volume: 27 start-page: 447 year: 2017 end-page: 452 ident: CR11 article-title: 7T MRI visualization of cortical lesions in adolescents and young adults with pediatric-onset multiple sclerosis publication-title: J Neuroimaging doi: 10.1111/jon.12465 – volume: 72 start-page: 1004 year: 2015 end-page: 1012 ident: CR22 article-title: Association of cortical lesion burden on 7-T magnetic resonance imaging with cognition and disability in multiple sclerosis publication-title: JAMA Neurol doi: 10.1001/jamaneurol.2015.1241 – volume: 8 start-page: e00955 year: 2018 ident: CR31 article-title: Correlation between cortical lesions and cognitive impairment in multiple sclerosis publication-title: Brain Behav doi: 10.1002/brb3.955 – volume: 40 start-page: 1162 year: 2019 ident: 6803_CR8 publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A6099 – volume: 69 start-page: 292 year: 2011 ident: 6803_CR16 publication-title: Ann Neurol doi: 10.1002/ana.22366 – volume: 139 start-page: 1472 year: 2016 ident: 6803_CR28 publication-title: Brain doi: 10.1093/brain/aww037 – volume: 39 start-page: 459 year: 2018 ident: 6803_CR9 publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A5534 – volume: 27 start-page: 447 year: 2017 ident: 6803_CR11 publication-title: J Neuroimaging doi: 10.1111/jon.12465 – volume: 122 start-page: 17 issue: Pt 1 year: 1999 ident: 6803_CR4 publication-title: Brain doi: 10.1093/brain/122.1.17 – volume: 26 start-page: 572 year: 2005 ident: 6803_CR20 publication-title: AJNR Am J Neuroradiol – volume: 22 start-page: 1306 year: 2016 ident: 6803_CR23 publication-title: Mult Scler doi: 10.1177/1352458515620499 – volume: 36 start-page: 2062 year: 2015 ident: 6803_CR24 publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A4418 – volume: 67 start-page: 376 year: 2010 ident: 6803_CR30 publication-title: Ann Neurol doi: 10.1002/ana.21906 – volume: 57 start-page: 55 year: 2011 ident: 6803_CR10 publication-title: Neuroimage doi: 10.1016/j.neuroimage.2011.04.009 – volume: 62 start-page: 723 year: 2003 ident: 6803_CR3 publication-title: J Neuropathol Exp Neurol doi: 10.1093/jnen/62.7.723 – volume: 291 start-page: 740 year: 2019 ident: 6803_CR14 publication-title: Radiology doi: 10.1148/radiol.2019181719 – volume: 50 start-page: 389 year: 2001 ident: 6803_CR21 publication-title: Ann Neurol doi: 10.1002/ana.1123 – volume: 83 start-page: 278 year: 2014 ident: 6803_CR17 publication-title: Neurology doi: 10.1212/WNL.0000000000000560 – volume: 35 start-page: 537 year: 2012 ident: 6803_CR34 publication-title: J Magn Reson Imaging doi: 10.1002/jmri.22847 – volume: 67 start-page: 812 year: 2010 ident: 6803_CR27 publication-title: Arch Neurol doi: 10.1001/archneurol.2010.148 – volume: 68 start-page: 634 year: 2007 ident: 6803_CR5 publication-title: Neurology doi: 10.1212/01.wnl.0000250267.85698.7a – volume: 66 start-page: 1144 year: 2009 ident: 6803_CR29 publication-title: Arch Neurol doi: 10.1001/archneurol.2009.174 – volume: 31 start-page: 249 year: 2018 ident: 6803_CR1 publication-title: Curr Opin Neurol doi: 10.1097/WCO.0000000000000559 – volume: 17 start-page: 825 year: 2002 ident: 6803_CR19 publication-title: Neuroimage doi: 10.1006/nimg.2002.1132 – volume: 30 start-page: 699 year: 2009 ident: 6803_CR25 publication-title: AJNR Am J Neuroradiol doi: 10.3174/ajnr.A1434 – volume: 12 start-page: 55 year: 2012 ident: 6803_CR18 publication-title: BMC Neurol doi: 10.1186/1471-2377-12-55 – volume: 72 start-page: 1004 year: 2015 ident: 6803_CR22 publication-title: JAMA Neurol doi: 10.1001/jamaneurol.2015.1241 – ident: 6803_CR32 doi: 10.1371/journal.pone.0096193 – volume: 18 start-page: 221 year: 2018 ident: 6803_CR7 publication-title: Expert Rev Neurother doi: 10.1080/14737175.2018.1433033 – volume: 81 start-page: 641 year: 2013 ident: 6803_CR26 publication-title: Neurology doi: 10.1212/WNL.0b013e3182a08ce8 – volume: 73 start-page: 941 year: 2009 ident: 6803_CR12 publication-title: Neurology doi: 10.1212/WNL.0b013e3181b64bf7 – volume: 8 start-page: e00955 year: 2018 ident: 6803_CR31 publication-title: Brain Behav doi: 10.1002/brb3.955 – volume: 138 start-page: 932 year: 2015 ident: 6803_CR13 publication-title: Brain doi: 10.1093/brain/awv011 – ident: 6803_CR33 doi: 10.1136/jnnp-2014-310142 – volume: 6 start-page: 438 year: 2010 ident: 6803_CR6 publication-title: Nat Rev Neurol doi: 10.1038/nrneurol.2010.93 – 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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... 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... ObjectivesThe 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... |
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| SubjectTerms | Adult Aged Cerebral Cortex - pathology Clinical Protocols Cognitive ability Correlation coefficient Correlation coefficients Diagnostic Radiology Feasibility Studies Female Gray Matter - pathology Humans Image detection Imaging Imaging, Three-Dimensional - methods Internal Medicine Interventional Radiology Lesions Magnetic Resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medicine Medicine & Public Health Middle Aged Multiple sclerosis Multiple Sclerosis - diagnosis Neuroradiology Radiology Regression analysis Regression models Scanners Substantia grisea Ultrasound Young Adult |
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| Title | A clinically feasible 7-Tesla protocol for the identification of cortical lesions in Multiple Sclerosis |
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