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This study aims to determine if MR Fingerprinting (MRF) relaxometry can differentiate frontal normal appearing white matter (F-NAWM) and splenium in patients diagnosed with MS as compared to controls and to characterize the relaxometry of demyelinating plaques relative to the time of diagnosis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Three-dimensional (3D) MRF data were acquired on a 3.0T MRI system resulting in isotropic voxels (1\u2009\u00d7\u20091\u2009\u00d7\u20091 mm<jats:sup>3<\/jats:sup>) and a total acquisition time of 4\u00a0min 38\u00a0s. Data were collected on 18 subjects paired with 18 controls. Regions of interest were drawn over MRF-derived T<jats:sub>1<\/jats:sub> relaxometry maps encompassing selected MS lesions, F-NAWM and splenium. T<jats:sub>1<\/jats:sub> and T<jats:sub>2<\/jats:sub> relaxometry features from those segmented areas were used to classify MS lesions from F-NAWM and splenium with T-distributed stochastic neighbor embedding algorithms. Partial least squares discriminant analysis was performed to discriminate NAWM and Splenium in MS compared with controls.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Mean out-of-fold machine learning prediction accuracy for discriminant results between MS patients and controls for F-NAWM was 65\u2009% (p\u2009=\u20090.21) and approached 90\u2009% (p\u2009&lt;\u20090.01) for the splenium. There was significant positive correlation between time since diagnosis and MS lesions mean T2 (p\u2009=\u20090.015), minimum T1 (p\u2009=\u20090.03) and negative correlation with splenium uniformity (p\u2009=\u20090.04). Perfect discrimination (AUC\u2009=\u20091) was achieved between selected features from MS lesions and F-NAWM.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>3D-MRF has the ability to differentiate between MS and controls based on relaxometry properties from the F-NAWM and splenium. Whole brain coverage allows the assessment of quantitative properties within lesions that provide chronological assessment of the time from MS diagnosis.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-021-00620-5","type":"journal-article","created":{"date-parts":[[2021,5,22]],"date-time":"2021-05-22T19:02:39Z","timestamp":1621710159000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study"],"prefix":"10.1186","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7230-763X","authenticated-orcid":false,"given":"Thomaz R.","family":"Mostardeiro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ananya","family":"Panda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norbert G.","family":"Campeau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert J.","family":"Witte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas B.","family":"Larson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Sui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aiming","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kiaran P.","family":"McGee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,22]]},"reference":[{"issue":"6","key":"620_CR1","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1016\/S1474-4422(18)30168-6","volume":"17","author":"AJ Thompson","year":"2018","unstructured":"Thompson AJ, Reingold SC, Cohen JA, International Panel on Diagnosis of Multiple S. 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