{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T15:03:17Z","timestamp":1785769397907,"version":"3.56.0"},"reference-count":37,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T00:00:00Z","timestamp":1771891200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81871343"],"award-info":[{"award-number":["81871343"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Key Research and Development Program","award":["BE2021693"],"award-info":[{"award-number":["BE2021693"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Type 2 diabetes mellitus (T2DM) is associated with a higher risk of mild cognitive impairment (MCI), but conventional structural MRI (sMRI) metrics lack sensitivity for detecting early hippocampal alterations. Radiomic analysis of hippocampal subfields may capture diabetes-related microstructural abnormalities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To develop and interpret a structural MRI-based model incorporating hippocampal subfield radiomic features for identifying MCI in T2DM patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective study included 149 T2DM patients. Based on Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) scores, participants were classified into T2DM-MCI and T2DM-NC groups. A total of 2232 radiomic features were extracted from 24 hippocampal subfields segmented by FreeSurfer. Maximum relevance minimum redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to construct the hippocampal radiomics score (Hip-Radscore). Additional models were built using gray matter volume (sMRI-Radscore), subfield volumes (SFV-Score), and clinical variables. Model performance was evaluated by bootstrap resampling, ROC analysis, and SHapley Additive exPlanations (SHAP) interpretation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The Hip-Radscore model achieved an AUC of 0.76 (95% CI: 0.68\u20130.84), outperforming the gray matter volume (0.62) and SFV-Score (0.63) models. The combined model integrating imaging and clinical variables reached the highest accuracy (AUC\u2009=\u20090.87, 95% CI: 0.81\u20130.93), significantly superior to the clinical-only model (AUC\u2009=\u20090.70, p\u2009&lt;\u20090.05). The Hip-Radscore correlated positively with diabetes duration (\u03c1\u2009=\u20090.47) and HbA1c (\u03c1\u2009=\u20090.56), and negatively with MMSE (\u03c1\u2009=\u2009\u22120.63) and MoCA (\u03c1\u2009=\u2009\u22120.65) (all p\u2009&lt;\u20090.001).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Hippocampal subfield radiomics significantly improves the detection of MCI in T2DM and reflects diabetes-specific structural alterations linked to metabolic status and cognitive decline.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877261422272","type":"journal-article","created":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T05:04:22Z","timestamp":1771995862000},"page":"1143-1152","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhanced prediction of mild cognitive impairment in type 2 diabetes mellitus using a structural MRI model incorporating radiomic features from hippocampal subfields"],"prefix":"10.1177","volume":"110","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3008-9937","authenticated-orcid":false,"given":"Ran-chao","family":"Wang","sequence":"first","affiliation":[{"name":"Affiliated People's Hospital of Jiangsu University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin-xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Affiliated People's Hospital of Jiangsu University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Affiliated People's Hospital of Jiangsu University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-hao","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Shen","sequence":"additional","affiliation":[{"name":"Affiliated People's Hospital of Jiangsu University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8397-3138","authenticated-orcid":false,"given":"Yue-feng","family":"Li","sequence":"additional","affiliation":[{"name":"Affiliated People's Hospital of Jiangsu University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,2,24]]},"reference":[{"key":"e_1_3_3_2_2","article-title":"Worldwide prevalence of mild cognitive impairment among community dwellers aged 50 years and older: a meta-analysis and systematic review of epidemiology studies","volume":"51","author":"Bai W","year":"2022","unstructured":"Bai W, Chen P, Cai H, et al. 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