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Sökning: WFRF:(Kristoffersen Wiberg M) > Validation of Rapid...

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FältnamnIndikatorerMetadata
00007604naa a2201069 4500
001oai:DiVA.org:kth-313560
003SwePub
008220613s2020 | |||||||||||000 ||eng|
009oai:DiVA.org:liu-165837
009oai:prod.swepub.kib.ki.se:143818078
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3135602 URI
024a https://doi.org/10.1002/ana.257052 DOI
024a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1658372 URI
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1438180782 URI
040 a (SwePub)kthd (SwePub)liud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Ouellette, R.u Karolinska Institutet4 aut
2451 0a Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis
264 c 2020-03-02
264 1b Wiley,c 2020
338 a print2 rdacarrier
500 a QC 20220613
520 a Objective: Magnetic resonance imaging (MRI) is essential for multiple sclerosis diagnostics but is conventionally not specific to demyelination. Myelin imaging is often hampered by long scanning times, complex postprocessing, or lack of clinical approval. This study aimed to assess the specificity, robustness, and clinical value of Rapid Estimation of Myelin for Diagnostic Imaging, a new myelin imaging technique based on time-efficient simultaneous T1/T2 relaxometry and proton density mapping in multiple sclerosis. Methods: Rapid myelin imaging was applied using 3T MRI ex vivo in 3 multiple sclerosis brain samples and in vivo in a prospective cohort of 71 multiple sclerosis patients and 21 age/sex-matched healthy controls, with scan–rescan repeatability in a subcohort. Disability in patients was assessed by the Expanded Disability Status Scale and the Symbol Digit Modalities Test at baseline and 2-year follow-up. Results: Rapid myelin imaging correlated with myelin-related stains (proteolipid protein immunostaining and Luxol fast blue) and demonstrated good precision. Multiple sclerosis patients had, relative to controls, lower normalized whole-brain and normal-appearing white matter myelin fractions, which correlated with baseline cognitive and physical disability. Longitudinally, these myelin fractions correlated with follow-up physical disability, even with correction for baseline disability. Interpretation: Rapid Estimation of Myelin for Diagnostic Imaging provides robust myelin quantification that detects diffuse demyelination in normal-appearing tissue in multiple sclerosis, which is associated with both cognitive and clinical disability. Because the technique is fast, with automatic postprocessing and US Food and Drug Administration/CE clinical approval, it can be a clinically feasible biomarker that may be suitable to monitor myelin dynamics and evaluate treatments aiming at remyelination.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Neurologi0 (SwePub)302072 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Neurology0 (SwePub)302072 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
653 a myelin
653 a proteolipid
653 a adult
653 a aged
653 a Article
653 a cognition
653 a cohort analysis
653 a controlled study
653 a demyelination
653 a disability
653 a Expanded Disability Status Scale
653 a female
653 a follow up
653 a human
653 a human tissue
653 a image processing
653 a major clinical study
653 a male
653 a multiple sclerosis
653 a nuclear magnetic resonance imaging
653 a priority journal
653 a prospective study
653 a symbol digit modalities test
653 a validation study
653 a white matter
653 a brain
653 a computer assisted diagnosis
653 a diagnostic imaging
653 a middle aged
653 a myelin sheath
653 a neuroimaging
653 a procedures
653 a reproducibility
653 a Humans
653 a Image Interpretation
653 a Computer-Assisted
653 a Magnetic Resonance Imaging
653 a Prospective Studies
653 a Reproducibility of Results
700a Mangeat, G.u A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada4 aut
700a Polyak, I.u Invicro, Boston, MA, United States4 aut
700a Warntjes, Marcel, Jan Bertus,d 1973-u Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,SyntheticMR, Linköping, Sweden4 aut0 (Swepub:liu)marwa64
700a Forslin, Y.u Karolinska Institutet4 aut
700a Bergendal, Å.u Karolinska Institutet4 aut
700a Platten, Michaelu Karolinska Institutet,KTH,Medicinteknik och hälsosystem,Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden; School of Engineering Sciences in Chemistry, Biology, and Health, Royal Institute of Technology, Stockholm, Sweden4 aut0 (Swepub:kth)u19rh8fr
700a Uppman, M.u Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden4 aut
700a Treaba, C. A.u A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States4 aut
700a Cohen-Adad, J.u NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada4 aut
700a Piehl, F.u Karolinska Institutet4 aut
700a Kristoffersen Wiberg, M.u Karolinska Institutet4 aut
700a Fredrikson, S.u Karolinska Institutet4 aut
700a Mainero, C.u A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States4 aut
700a Granberg, T.u Karolinska Institutet4 aut
710a Karolinska Institutetb A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada4 org
773t Annals of Neurologyd : Wileyg 87:5, s. 710-724q 87:5<710-724x 0364-5134x 1531-8249
856u https://doi.org/10.1002/ana.25705y Fulltext
856u https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ana.25705
856u https://liu.diva-portal.org/smash/get/diva2:1432636/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-313560
8564 8u https://doi.org/10.1002/ana.25705
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165837
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:143818078

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