{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T05:03:04Z","timestamp":1789534984077,"version":"build-2803163510"},"reference-count":38,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T00:00:00Z","timestamp":1782345600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T00:00:00Z","timestamp":1782345600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R61NS119434"],"award-info":[{"award-number":["R61NS119434"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2026,10]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n Differentiating demyelinating from axonal polyneuropathies helps for accurate diagnosis and treatment. However, the current clinical tools lack sensitivity to confirm demyelination in peripheral nerves, particularly for proximal nerves.<\/jats:p>\n <\/jats:sec>\n \n Hypothesis<\/jats:title>\n Multiparametric quantitative MRI (qMRI) of peripheral nerves can differentiate demyelination from axonal loss.<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Retrospective.<\/jats:p>\n <\/jats:sec>\n \n Subjects<\/jats:title>\n Twenty patients with Charcot\u2013Marie\u2010Tooth type\u20101 (CMT1, demyelinating, females\u2009=\u200912), 12 patients with CMT2 (axonal, females\u2009=\u20096), 25 patients with hereditary neuropathy with liability to pressure palsies (HNPP, a cohort who often has intermediate changes between the two classifications, females\u2009=\u200917), and 25 healthy controls (HC, females\u2009=\u200914).<\/jats:p>\n <\/jats:sec>\n \n Field\u2010Strength\/Sequences<\/jats:title>\n 3\u2009T; 3D gradient\u2010echo and spin\u2010echo echo\u2010planar\u2010imaging\u2010based diffusion tensor imaging.<\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n \n Multiparametric qMRI maps were computed for magnetization transfer ratio (MTR), MT saturation index (MTsat), T\n 2<\/jats:sub>\n *, T\n 1<\/jats:sub>\n , proton density (PD), fractional anisotropy (FA), mean\/axial\/radial diffusivities (MD, AD, RD), and fascicular volume (fVol).\n <\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Descriptive statistics were performed for group comparisons for each qMRI parameter. Receiver operating characteristic (ROC) analysis with logistic regression was performed to stratify patients. A composite qMRI score, as the CMT Imaging Score (CMTIS), was developed to reflect disease severity using the CMT Neuropathy Score version\u20102 (CMTNSv2) as a clinical reference. The statistical significance level was set at\n p<\/jats:italic>\n \u2009<\u20090.05.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n CMT1 showed significantly increased fVol versus HCs (3733.7\u2009\u00b1\u20091426.9\u2009mm\n 3<\/jats:sup>\n vs. 1614.4\u2009\u00b1\u2009286.32\u2009mm\n 3<\/jats:sup>\n ), while CMT2 demonstrated reduced T\n 2<\/jats:sub>\n * (25.24\u2009\u00b1\u20093.27\u2009ms vs. 29.97\u2009\u00b1\u20094.28\u2009ms). Both CMT1 and CMT2 exhibited reduced FA (0.32\u2009\u00b1\u20090.08 and 0.39\u2009\u00b1\u20090.11 vs. 0.54\u2009\u00b1\u20090.06), MTsat (2.24%\u2009\u00b1\u20090.35% and 2.66%\u2009\u00b1\u20090.34% vs. 3.07%\u2009\u00b1\u20090.39%), and AD (1925.2\u2009\u00b1\u2009216.6\u2009\u03bcm\n 2<\/jats:sup>\n \/s and 1972.5\u2009\u00b1\u2009197.4\u2009\u03bcm\n 2<\/jats:sup>\n \/s vs. 2183.6\u2009\u00b1\u2009178.7\u2009\u03bcm\n 2<\/jats:sup>\n \/s), along with elevated T\n 1<\/jats:sub>\n (1689.1\u2009\u00b1\u2009196.9\u2009ms and 1435.1\u2009\u00b1\u2009171.7\u2009ms vs. 1305.4\u2009\u00b1\u2009120.7\u2009ms) and RD (1177.2\u2009\u00b1\u2009192.9\u2009\u03bcm\n 2<\/jats:sup>\n \/s and 1065.9\u2009\u00b1\u2009196.6\u2009\u03bcm\n 2<\/jats:sup>\n \/s vs. 843.3\u2009\u00b1\u2009101.1\u2009\u03bcm\n 2<\/jats:sup>\n \/s), with larger abnormalities in CMT1. ROC analyses demonstrated strong discrimination of CMT1 and CMT2 (area under curves [AUCs]: 0.95 and 0.85 for sciatic; 0.89 and 0.73 for tibial nerves). CMTIS correlated strongly with CMTNSv2 (\n r<\/jats:italic>\n \u2009=\u20090.67 sciatic;\n r<\/jats:italic>\n \u2009=\u20090.72 tibial;\n r<\/jats:italic>\n \u2009=\u20090.79 combined).\n <\/jats:p>\n <\/jats:sec>\n \n Data Conclusions<\/jats:title>\n Multiparametric qMRI identified distinct imaging signatures of inherited demyelinating (CMT1) versus axonal (CMT2) polyneuropathies. The CMTIS showed strong potential as a monitoring biomarker in patients with inherited polyneuropathy.<\/jats:p>\n <\/jats:sec>\n \n Evidence Level<\/jats:title>\n 3.<\/jats:p>\n <\/jats:sec>\n \n Stage of Technology Efficacy<\/jats:title>\n 3.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.70421","type":"journal-article","created":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T16:19:52Z","timestamp":1782404392000},"page":"1077-1088","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiparametric Quantitative\n MRI<\/scp>\n of Peripheral Nerves to Differentiate Demyelinating From Axonal Polyneuropathies"],"prefix":"10.1002","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5727-8511","authenticated-orcid":false,"given":"Jesus E.","family":"Fajardo","sequence":"first","affiliation":[{"name":"Department of Neurology Wayne State University School of Medicine Detroit Michigan 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