{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:02:35Z","timestamp":1772118155801,"version":"3.50.1"},"reference-count":50,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T00:00:00Z","timestamp":1692230400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>We aim to develop a radiomics model based on\u00a03\u2010dimensional (3D)\u2010T1WI\u00a0images\u00a0to\u00a0discriminate\u00a0amnestic mild cognitive impairment (aMCI) patients from the normal population by measuring changes\u00a0in\u00a0frontal\u00a0white matter.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      In this study, 126\u00a0patients with aMCI and 174\u00a0normal controls\u00a0(NC) were recruited\u00a0from the local community. All subjects underwent\u00a0routine magnetic resonance\u00a0imaging\u00a0examination\u00a0(including\u00a03D\u2010T1WI\u00a0).\u00a0Participants were randomly divided into a training\u00a0set\u00a0(\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0242, aMCI:102,\u00a0NC:140) and a testing\u00a0set\u00a0(\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a058, aMCI:24,\u00a0NC:34).\u00a0Texture features\u00a0of the frontal lobe\u00a0were extracted\u00a0from 3D\u2010T1WI\u00a0images. The least absolute shrinkage and selection operator (LASSO) was used to reduce feature dimensions\u00a0and\u00a0develop\u00a0a radiomics signature model.\u00a0Diagnostic performance was assessed in the training and testing sets using the receiver operating characteristic (ROC) curve analysis.\u00a0The area under the\u00a0ROC\u00a0curve (AUC),\u00a0sensitivity,\u00a0and specificity were also calculated.\u00a0The efficacy of the radiomics\u00a0model\u00a0in discriminating\u00a0aMCI patients from the normal population\u00a0was assessed by decision curve analysis (DCA).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of\u00a0108\u00a0frontal lobe texture features\u00a0were extracted\u00a0from\u00a03D\u2010T1WI images.\u00a0LASSO selected 58 radiomic features for the final model,\u00a0including log\u2010sigma\u00a0(\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a018),\u00a0original\u00a0(\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a08), and wavelet\u00a0(\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a032)\u00a0features.\u00a0The performance of radiomic features extracted from 3D T1 imaging for distinguishing aMCI patients from controls was:\u00a0in the\u00a0training\u00a0set,\u00a0AUC\u00a0was\u00a01.00,\u00a0and the accuracy, sensitivity, and specificity\u00a0were 100%,\u00a098%, and\u00a0100%, respectively.\u00a0In the testing\u00a0set,\u00a0AUC\u00a0was\u00a00.82 (95% CI:0.69\u20130.95),\u00a0and the accuracy, sensitivity, and specificity\u00a0were 69%, 92%, and\u00a055%, respectively. The\u00a0DCA\u00a0demonstrated that\u00a0the model\u00a0had favorable clinical predictive value.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Textural features\u00a0of white matter in the frontal lobe\u00a0showed potential for distinguishing\u00a0aMCI from the normal population, which\u00a0could\u00a0be a\u00a0surrogate protocol\u00a0to\u00a0aid\u00a0aMCI screening\u00a0in clinical setting.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.3222","type":"journal-article","created":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T17:58:14Z","timestamp":1692554294000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal 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