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Among them, 36 progressed to AD after four years of follow-up. A brain network was constructed for each patient based on white matter fiber tracts, and network attribute features were extracted. White matter network features were downscaled, and white matter markers were constructed using an integrated downscaling approach, followed by forming an integrated model with clinical features and performance evaluation.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>APOE4 and ADAS scores were used as independent predictors and combined with white matter network markers to construct a comprehensive model. The diagnostic efficacy of the comprehensive model was 0.924 and 0.919, sensitivity was 0.864 and 0.900, and specificity was 0.871 and 0.815 in the training and test groups, respectively. The Delong test showed significant differences (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05) in the diagnostic efficacy of the combined model and APOE4 and ADAS scores, while there was no significant difference (<jats:italic>P<\/jats:italic>\u2009&gt;\u20090.05) between the combined model and white matter network biomarkers.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>A comprehensive model constructed based on white matter network markers can identify MCI patients at high risk of progression to AD and provide an adjunct biomarker helpful in early AD detection.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-024-01284-7","type":"journal-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T09:02:43Z","timestamp":1714726963000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Predicting Alzheimer\u2019s progression in MCI: a DTI-based white matter network model"],"prefix":"10.1186","volume":"24","author":[{"given":"Qiaowei","family":"Song","sequence":"first","affiliation":[]},{"given":"Jiaxuan","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Zhenyu","family":"Shu","sequence":"additional","affiliation":[]},{"given":"Yuyun","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Shao","sequence":"additional","affiliation":[]},{"given":"Wen","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"issue":"1","key":"1284_CR1","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1111\/ene.13439","volume":"25","author":"CA Lane","year":"2018","unstructured":"Lane CA, Hardy J, Schott JM. 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