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Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model-Based MR and Magnetization Transfer Imaging

Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model-Based MR and Magnetization Transfer Imaging

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WIEST, Roland, Yuliya BURREN, Martinus HAUF, Gerhard SCHROTH, Jens PRÜSSNER, Martin ZBINDEN, Katja CATTAPAN-LUDEWIG, Claus KIEFER, 2013. Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model-Based MR and Magnetization Transfer Imaging. In: American Journal of Neuroradiology : AJNR. 34(4), pp. 740-746. ISSN 0195-6108. eISSN 1936-959X

@article{Wiest2013-04-10Class-38546, title={Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model-Based MR and Magnetization Transfer Imaging}, year={2013}, doi={10.3174/ajnr.A3307}, number={4}, volume={34}, issn={0195-6108}, journal={American Journal of Neuroradiology : AJNR}, pages={740--746}, author={Wiest, Roland and Burren, Yuliya and Hauf, Martinus and Schroth, Gerhard and Prüßner, Jens and Zbinden, Martin and Cattapan-Ludewig, Katja and Kiefer, Claus} }

Wiest, Roland Schroth, Gerhard Kiefer, Claus Cattapan-Ludewig, Katja Hauf, Martinus BACKGROUND AND PURPOSE<br /><br />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 1.5T.<br /><br />MATERIALS AND METHODS<br /><br />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.<br /><br />RESULTS<br /><br />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.<br /><br />CONCLUSIONS<br /><br />mMT imaging detects macromolecule-related alterations and allows an improved classification of patients with early AD and MCI compared with MTR. 2013-04-10 Wiest, Roland Hauf, Martinus Cattapan-Ludewig, Katja Schroth, Gerhard 2017-04-20T13:49:05Z Prüßner, Jens Zbinden, Martin Kiefer, Claus Prüßner, Jens Classification of Mild Cognitive Impairment and Alzheimer Disease Using Model-Based MR and Magnetization Transfer Imaging eng Burren, Yuliya Zbinden, Martin 2017-04-20T13:49:05Z Burren, Yuliya

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