{"title":"基于accubrain的MRI定量分析在诊断阿尔茨海默病和评估痴呆症的行为和心理症状中的评价","authors":"Huixian Lu, Caixia Xu, Jiaquan Liang","doi":"10.1007/s40520-025-03023-6","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>Alzheimer’s disease (AD) is a major cause of dementia, marked by cognitive decline and behavioral and psychological symptoms of dementia (BPSD). Early differentiation between AD, mild cognitive impairment (MCI), and healthy controls (HC) is essential for improving diagnostic accuracy and guiding effective treatment strategies.</p><h3>Methods</h3><p>This retrospective study included 120 participants divided into AD (<i>n</i> = 40), MCI (<i>n</i> = 40), and HC (<i>n</i> = 40) groups. Brain MRI data were analyzed using the AccuBrain system to quantify AD Resemblance Atrophy Index (AD-RAI), Quantitative Medial Temporal Atrophy (QMTA), hippocampal volume, and white matter hyperintensities. Correlation analyses were conducted between imaging biomarkers and cognitive function scores (Mini-Mental State Examination, MMSE; Neuropsychiatric Inventory, NPI). Receiver operating characteristic (ROC) curve analysis was used to evaluated the diagnostic performance of the biomarkers.</p><h3>Results</h3><p>AD patients had significantly higher AD-RAI (0.91 ± 0.25) and more pronounced hippocampal atrophy (0.36 ± 0.09) compared to MCI and HC (<i>P</i> < 0.001). Correlation analyses showed that AD-RAI and QMTA were negatively correlated with MMSE scores (<i>r</i> = -0.718, <i>P</i> < 0.001; <i>r</i> = -0.463, <i>P</i> < 0.001), while hippocampal volume was positively correlated with MMSE (<i>r</i> = 0.408, <i>P</i> < 0.001). ROC analysis revealed that AD-RAI had an AUC of 0.777 for distinguishing AD from MCI, while QMTA had an AUC of 0.938 for distinguishing AD from HC. BPSD patients exhibited higher AD-RAI (1.09 ± 0.18) and greater hippocampal atrophy, with ROC AUC > 0.9 for distinguishing BPSD from non-BPSD patients.</p><h3>Conclusion</h3><p>The AccuBrain MRI system demonstrated high sensitivity and diagnostic value in distinguishing AD from MCI and HC, as well as in identifying patients with BPSD. Correlation and ROC analyses support the use of these imaging biomarkers for early diagnosis and personalized treatment strategies in AD.</p></div>","PeriodicalId":7720,"journal":{"name":"Aging Clinical and Experimental Research","volume":"37 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40520-025-03023-6.pdf","citationCount":"0","resultStr":"{\"title\":\"Evaluation of AccuBrain-based MRI quantitative analysis in diagnosing Alzheimer’s disease and assessing behavioral and psychological symptoms of dementia\",\"authors\":\"Huixian Lu, Caixia Xu, Jiaquan Liang\",\"doi\":\"10.1007/s40520-025-03023-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>Alzheimer’s disease (AD) is a major cause of dementia, marked by cognitive decline and behavioral and psychological symptoms of dementia (BPSD). Early differentiation between AD, mild cognitive impairment (MCI), and healthy controls (HC) is essential for improving diagnostic accuracy and guiding effective treatment strategies.</p><h3>Methods</h3><p>This retrospective study included 120 participants divided into AD (<i>n</i> = 40), MCI (<i>n</i> = 40), and HC (<i>n</i> = 40) groups. Brain MRI data were analyzed using the AccuBrain system to quantify AD Resemblance Atrophy Index (AD-RAI), Quantitative Medial Temporal Atrophy (QMTA), hippocampal volume, and white matter hyperintensities. Correlation analyses were conducted between imaging biomarkers and cognitive function scores (Mini-Mental State Examination, MMSE; Neuropsychiatric Inventory, NPI). Receiver operating characteristic (ROC) curve analysis was used to evaluated the diagnostic performance of the biomarkers.</p><h3>Results</h3><p>AD patients had significantly higher AD-RAI (0.91 ± 0.25) and more pronounced hippocampal atrophy (0.36 ± 0.09) compared to MCI and HC (<i>P</i> < 0.001). Correlation analyses showed that AD-RAI and QMTA were negatively correlated with MMSE scores (<i>r</i> = -0.718, <i>P</i> < 0.001; <i>r</i> = -0.463, <i>P</i> < 0.001), while hippocampal volume was positively correlated with MMSE (<i>r</i> = 0.408, <i>P</i> < 0.001). ROC analysis revealed that AD-RAI had an AUC of 0.777 for distinguishing AD from MCI, while QMTA had an AUC of 0.938 for distinguishing AD from HC. BPSD patients exhibited higher AD-RAI (1.09 ± 0.18) and greater hippocampal atrophy, with ROC AUC > 0.9 for distinguishing BPSD from non-BPSD patients.</p><h3>Conclusion</h3><p>The AccuBrain MRI system demonstrated high sensitivity and diagnostic value in distinguishing AD from MCI and HC, as well as in identifying patients with BPSD. Correlation and ROC analyses support the use of these imaging biomarkers for early diagnosis and personalized treatment strategies in AD.</p></div>\",\"PeriodicalId\":7720,\"journal\":{\"name\":\"Aging Clinical and Experimental Research\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s40520-025-03023-6.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aging Clinical and Experimental Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s40520-025-03023-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Clinical and Experimental Research","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s40520-025-03023-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Evaluation of AccuBrain-based MRI quantitative analysis in diagnosing Alzheimer’s disease and assessing behavioral and psychological symptoms of dementia
Aim
Alzheimer’s disease (AD) is a major cause of dementia, marked by cognitive decline and behavioral and psychological symptoms of dementia (BPSD). Early differentiation between AD, mild cognitive impairment (MCI), and healthy controls (HC) is essential for improving diagnostic accuracy and guiding effective treatment strategies.
Methods
This retrospective study included 120 participants divided into AD (n = 40), MCI (n = 40), and HC (n = 40) groups. Brain MRI data were analyzed using the AccuBrain system to quantify AD Resemblance Atrophy Index (AD-RAI), Quantitative Medial Temporal Atrophy (QMTA), hippocampal volume, and white matter hyperintensities. Correlation analyses were conducted between imaging biomarkers and cognitive function scores (Mini-Mental State Examination, MMSE; Neuropsychiatric Inventory, NPI). Receiver operating characteristic (ROC) curve analysis was used to evaluated the diagnostic performance of the biomarkers.
Results
AD patients had significantly higher AD-RAI (0.91 ± 0.25) and more pronounced hippocampal atrophy (0.36 ± 0.09) compared to MCI and HC (P < 0.001). Correlation analyses showed that AD-RAI and QMTA were negatively correlated with MMSE scores (r = -0.718, P < 0.001; r = -0.463, P < 0.001), while hippocampal volume was positively correlated with MMSE (r = 0.408, P < 0.001). ROC analysis revealed that AD-RAI had an AUC of 0.777 for distinguishing AD from MCI, while QMTA had an AUC of 0.938 for distinguishing AD from HC. BPSD patients exhibited higher AD-RAI (1.09 ± 0.18) and greater hippocampal atrophy, with ROC AUC > 0.9 for distinguishing BPSD from non-BPSD patients.
Conclusion
The AccuBrain MRI system demonstrated high sensitivity and diagnostic value in distinguishing AD from MCI and HC, as well as in identifying patients with BPSD. Correlation and ROC analyses support the use of these imaging biomarkers for early diagnosis and personalized treatment strategies in AD.
期刊介绍：
Aging clinical and experimental research offers a multidisciplinary forum on the progressing field of gerontology and geriatrics. The areas covered by the journal include: biogerontology, neurosciences, epidemiology, clinical gerontology and geriatric assessment, social, economical and behavioral gerontology. “Aging clinical and experimental research” appears bimonthly and publishes review articles, original papers and case reports.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
