{"title":"沿血管周围空间的新型弥散张量图像分析法评估阿尔茨海默病的淋巴系统改变","authors":"Jiayi Zhong, Luyao Wang, Yunxia Li, Jiehui Jiang","doi":"10.1109/EMBC40787.2023.10340315","DOIUrl":null,"url":null,"abstract":"<p><p>Alzheimer 's disease (AD) is the most prevalent neurodegenerative disorder worldwide. The glymphatic system is considered to be associated with the pathogenesis of AD. However, the alterations of glymphatic system along the AD continuum are still unknown. In this study, we used a novel DTI analysis method, diffusion tensor image analysis along the perivascular space (DTI-ALPS), to evaluate the difference in the activity of the glymphatic system among normal control (NC) subjects, mild cognitive impairment (MCI) and AD patients. The data utilized in the study was obtained from Tongji Hospital in Shanghai, China, including 65 NCs, 58 MCIs and 36 ADs. First, we calculated the ALPS-index to evaluate the activity of the glymphatic system. Then, analysis of variance (ANOVA) was used to find the differences of ALPS-index among different groups, and to explore the correlation between ALPS-index and the three clinical scales: Minimum Mental State Examination (MMSE), Montreal Cognitive Assessment-Basic (MoCA-B) and Instrumental Activity of Daily Living (IADL). Receiver operating characteristic curve (ROC) analysis was used to evaluate the role of the ALPS-index in disease classification. The findings indicated a significant difference in the ALPS-index between the groups of participants with normal cognition, MCI, and AD. In addition, we found that ALPS-index was significantly correlated with the scores of the three clinical scales (with MoCA-B: r=0.233, p=0.001). Furthermore, with ALPS-index, Fractional Anisotropy (FA) values achieved best classification results (AUC=0.8899). Cognitive dysfunction is closely associated with the activity of the glymphatic system, and ALPS-index can be used as a biomarker for alterations along the AD continuum.</p>","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2023 ","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Diffusion Tensor Image Analysis Along the Perivascular Space Method to Evaluate Glymphatic Alterations in Alzheimer's Disease.\",\"authors\":\"Jiayi Zhong, Luyao Wang, Yunxia Li, Jiehui Jiang\",\"doi\":\"10.1109/EMBC40787.2023.10340315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Alzheimer 's disease (AD) is the most prevalent neurodegenerative disorder worldwide. The glymphatic system is considered to be associated with the pathogenesis of AD. However, the alterations of glymphatic system along the AD continuum are still unknown. In this study, we used a novel DTI analysis method, diffusion tensor image analysis along the perivascular space (DTI-ALPS), to evaluate the difference in the activity of the glymphatic system among normal control (NC) subjects, mild cognitive impairment (MCI) and AD patients. The data utilized in the study was obtained from Tongji Hospital in Shanghai, China, including 65 NCs, 58 MCIs and 36 ADs. First, we calculated the ALPS-index to evaluate the activity of the glymphatic system. Then, analysis of variance (ANOVA) was used to find the differences of ALPS-index among different groups, and to explore the correlation between ALPS-index and the three clinical scales: Minimum Mental State Examination (MMSE), Montreal Cognitive Assessment-Basic (MoCA-B) and Instrumental Activity of Daily Living (IADL). Receiver operating characteristic curve (ROC) analysis was used to evaluate the role of the ALPS-index in disease classification. The findings indicated a significant difference in the ALPS-index between the groups of participants with normal cognition, MCI, and AD. In addition, we found that ALPS-index was significantly correlated with the scores of the three clinical scales (with MoCA-B: r=0.233, p=0.001). Furthermore, with ALPS-index, Fractional Anisotropy (FA) values achieved best classification results (AUC=0.8899). Cognitive dysfunction is closely associated with the activity of the glymphatic system, and ALPS-index can be used as a biomarker for alterations along the AD continuum.</p>\",\"PeriodicalId\":72237,\"journal\":{\"name\":\"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. 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引用次数: 0
摘要
阿尔茨海默病(AD)是全球最常见的神经退行性疾病。血气系统被认为与阿尔茨海默病的发病机制有关。然而,AD病程中糖皮质系统的改变仍是未知数。在这项研究中,我们采用了一种新型的 DTI 分析方法--沿血管周围空间的弥散张量图像分析(DTI-ALPS)--来评估正常对照组(NC)、轻度认知障碍(MCI)和 AD 患者的甘液系统活性差异。研究数据来自中国上海同济医院,包括65名NC患者、58名MCI患者和36名AD患者。首先,我们计算了ALPS指数,以评估糖皮质系统的活性。然后,采用方差分析(ANOVA)找出不同组间ALPS-指数的差异,并探讨ALPS-指数与三个临床量表之间的相关性:最小精神状态检查(MMSE)、蒙特利尔认知评估-基础(MoCA-B)和日常生活活动量表(IADL)。研究人员使用接收者操作特征曲线(ROC)分析来评估 ALPS 指数在疾病分类中的作用。研究结果表明,ALPS 指数在认知正常、MCI 和 AD 组之间存在明显差异。此外,我们还发现 ALPS-index 与三个临床量表的评分有明显的相关性(与 MoCA-B:r=0.233,p=0.001)。此外,各向异性分数(FA)值与 ALPS-index 的分类效果最佳(AUC=0.8899)。认知功能障碍与糖皮质系统的活动密切相关,ALPS-指数可作为一种生物标志物,用于检测注意力缺失症连续体的变化。
A Novel Diffusion Tensor Image Analysis Along the Perivascular Space Method to Evaluate Glymphatic Alterations in Alzheimer's Disease.
Alzheimer 's disease (AD) is the most prevalent neurodegenerative disorder worldwide. The glymphatic system is considered to be associated with the pathogenesis of AD. However, the alterations of glymphatic system along the AD continuum are still unknown. In this study, we used a novel DTI analysis method, diffusion tensor image analysis along the perivascular space (DTI-ALPS), to evaluate the difference in the activity of the glymphatic system among normal control (NC) subjects, mild cognitive impairment (MCI) and AD patients. The data utilized in the study was obtained from Tongji Hospital in Shanghai, China, including 65 NCs, 58 MCIs and 36 ADs. First, we calculated the ALPS-index to evaluate the activity of the glymphatic system. Then, analysis of variance (ANOVA) was used to find the differences of ALPS-index among different groups, and to explore the correlation between ALPS-index and the three clinical scales: Minimum Mental State Examination (MMSE), Montreal Cognitive Assessment-Basic (MoCA-B) and Instrumental Activity of Daily Living (IADL). Receiver operating characteristic curve (ROC) analysis was used to evaluate the role of the ALPS-index in disease classification. The findings indicated a significant difference in the ALPS-index between the groups of participants with normal cognition, MCI, and AD. In addition, we found that ALPS-index was significantly correlated with the scores of the three clinical scales (with MoCA-B: r=0.233, p=0.001). Furthermore, with ALPS-index, Fractional Anisotropy (FA) values achieved best classification results (AUC=0.8899). Cognitive dysfunction is closely associated with the activity of the glymphatic system, and ALPS-index can be used as a biomarker for alterations along the AD continuum.