Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI.
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| Title: | Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI. |
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| Authors: | Sati, Pascal1 satip@ninds.nih.gov |
| Source: | Journal of Magnetic Resonance. Jun2018, Vol. 291, p101-109. 9p. |
| Subjects: | Magnetic resonance imaging, Multiple sclerosis, Drug approval, Pathology, Cross-sectional imaging |
| Abstract: | The long-standing relationship between ultra-high-field (7 T) MRI and multiple sclerosis (MS) has brought new insights to our understanding of lesion evolution and its associated pathology. With the recent FDA approval of a commercially available scanner, 7 T MRI is finally entering the clinic with great expectations about its potential added value. By looking through the prism of MS diagnosis, this perspective article discusses current limitations and prospects of 7 T MRI techniques relevant to helping clinicians diagnose patients encountered in daily practice. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Magnetic Resonance is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 129465076 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sati%2C+Pascal%22">Sati, Pascal</searchLink><relatesTo>1</relatesTo><i> satip@ninds.nih.gov</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Magnetic+Resonance%22">Journal of Magnetic Resonance</searchLink>. Jun2018, Vol. 291, p101-109. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+sclerosis%22">Multiple sclerosis</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+approval%22">Drug approval</searchLink><br /><searchLink fieldCode="DE" term="%22Pathology%22">Pathology</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+imaging%22">Cross-sectional imaging</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The long-standing relationship between ultra-high-field (7 T) MRI and multiple sclerosis (MS) has brought new insights to our understanding of lesion evolution and its associated pathology. With the recent FDA approval of a commercially available scanner, 7 T MRI is finally entering the clinic with great expectations about its potential added value. By looking through the prism of MS diagnosis, this perspective article discusses current limitations and prospects of 7 T MRI techniques relevant to helping clinicians diagnose patients encountered in daily practice. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Magnetic Resonance is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jmr.2018.01.022 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 101 Subjects: – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Multiple sclerosis Type: general – SubjectFull: Drug approval Type: general – SubjectFull: Pathology Type: general – SubjectFull: Cross-sectional imaging Type: general Titles: – TitleFull: Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sati, Pascal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 10907807 Numbering: – Type: volume Value: 291 Titles: – TitleFull: Journal of Magnetic Resonance Type: main |
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