{"database":"biostudies-literature","file_versions":[],"scores":{"citationCount":0,"reanalysisCount":0,"viewCount":60,"searchCount":0},"additional":{"omics_type":["Unknown"],"volume":["34(4)"],"submitter":["Wiest R"],"pubmed_abstract":["<h4>Background and purpose</h4>Early stratification of degenerative processes is a prerequisite to warrant therapeutic options in prodromal Alzheimer disease. Our aim was to investigate differences in cerebral macromolecular tissue composition between patients with AD, mild cognitive impairment, and age- and sex-matched healthy controls by using model-based magnetization transfer with a binary spin-bath magnetization transfer model and magnetization transfer ratio at 1.5 T.<h4>Materials and methods</h4>We investigated patients with de novo AD (n=18), MCI (n=18), and CTRLs (n=18). A region-of-interest analysis of the entorhinal cortex, hippocampal head and body, insula, and temporal neocortex was performed with fuzzy clustering to associate every subregion to a cluster representative for each group.<h4>Results</h4>Cluster analysis achieved a concordance of 0.92 (50 of 54 subjects) between a combination of the calculated mMT parameters (kf,kr,T2r,F,T2f) in the entorhinal cortex and the neuropsychological diagnosis. The sensitivity and specificity for the discrimination of AD from MCI reached 1 and 0.94, with a positive predictive value of 0.95 and a negative predictive value of 1. Compared with mMT, the concordance for MTR was 0.83 (45 of 54 subjects) with a lower specificity of 0.5 and positive predictive value of 0.67 to discriminate patients with AD and MCI.<h4>Conclusions</h4>mMT imaging detects macromolecule-related alterations and allows an improved classification of patients with early AD and MCI compared with MTR."],"journal":["AJNR. American journal of neuroradiology"],"pagination":["740-6"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7964474"],"repository":["biostudies-literature"],"pubmed_title":["Classification of mild cognitive impairment and Alzheimer disease using model-based MR and magnetization transfer imaging."],"pmcid":["PMC7964474"],"pubmed_authors":["Burren Y","Pruessner J","Kiefer C","Wiest R","Schroth G","Cattapan-Ludewig K","Zbinden M","Hauf M"],"view_count":["60"],"additional_accession":[]},"is_claimable":false,"name":"Classification of mild cognitive impairment and Alzheimer disease using model-based MR and magnetization transfer imaging.","description":"<h4>Background and purpose</h4>Early stratification of degenerative processes is a prerequisite to warrant therapeutic options in prodromal Alzheimer disease. Our aim was to investigate differences in cerebral macromolecular tissue composition between patients with AD, mild cognitive impairment, and age- and sex-matched healthy controls by using model-based magnetization transfer with a binary spin-bath magnetization transfer model and magnetization transfer ratio at 1.5 T.<h4>Materials and methods</h4>We investigated patients with de novo AD (n=18), MCI (n=18), and CTRLs (n=18). A region-of-interest analysis of the entorhinal cortex, hippocampal head and body, insula, and temporal neocortex was performed with fuzzy clustering to associate every subregion to a cluster representative for each group.<h4>Results</h4>Cluster analysis achieved a concordance of 0.92 (50 of 54 subjects) between a combination of the calculated mMT parameters (kf,kr,T2r,F,T2f) in the entorhinal cortex and the neuropsychological diagnosis. The sensitivity and specificity for the discrimination of AD from MCI reached 1 and 0.94, with a positive predictive value of 0.95 and a negative predictive value of 1. Compared with mMT, the concordance for MTR was 0.83 (45 of 54 subjects) with a lower specificity of 0.5 and positive predictive value of 0.67 to discriminate patients with AD and MCI.<h4>Conclusions</h4>mMT imaging detects macromolecule-related alterations and allows an improved classification of patients with early AD and MCI compared with MTR.","dates":{"release":"2013-01-01T00:00:00Z","publication":"2013 Apr","modification":"2022-02-09T10:50:53.459Z","creation":"2022-02-09T10:50:53.459Z"},"accession":"S-EPMC7964474","cross_references":{"pubmed":["23064592"],"doi":["10.3174/ajnr.a3307","10.3174/ajnr.A3307"]}}