Deep Learning With 18F-Fluorodeoxyglucose-PET Gives Valid Diagnoses for the Uncertain Cases in Memory Impairment of Alzheimer's Disease.
Deep Learning With 18F-Fluorodeoxyglucose-PET Gives Valid Diagnoses for the Uncertain Cases in Memory Impairment of Alzheimer's Disease.
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使用18F-氟脱氧葡萄糖-PET的深度学习为阿尔茨海默病记忆障碍的不确定病例提供了有效的诊断。
DOI：
10.3389/fnagi.2021.764272
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发表时间：
2021
影响因子：
4.8
通讯作者：
Alzheimer’s Disease Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Zhang W;Zhang T;Pan T;Zhao S;Nie B;Liu H;Shan B;Alzheimer’s Disease Neuroimaging Initiative
目的：神经心理学检查是阿尔茨海默病（AD）记忆障碍诊断的重要依据。然而，多个记忆测试可能会相互冲突的主题，并导致不确定的诊断在某些情况下。本研究提出了一个框架，以诊断不确定的情况下，记忆障碍。研究方法：我们收集了2，386个样本，包括AD，轻度认知障碍（MCI）和认知正常（CN），使用18 F-氟脱氧葡萄糖正电子发射断层扫描（FDG-PET）和三种不同的神经心理学测试（简易精神状态检查，阿尔茨海默病评估量表-认知子量表和临床痴呆评级）从阿尔茨海默病神经影像学倡议（ADNI）。提出了一种使用FDG-PET的深度学习（DL）框架，用于诊断测试之间冲突的不确定记忆障碍病例。随后使用方差分析、卡方检验和t检验来解释不确定病例的潜在原因。结果：对于测试集中的某些情况，所提出的DL框架以95.65%的准确率优于其他方法。在平均40个月的纵向研究中，对于不确定的病例，其阳性诊断比阴性诊断的记忆功能下降更严重（p <0.001）。在记忆障碍组中，不确定病例主要由AD代谢模式解释，但程度较轻（p <0.05）。在健康组中，不确定病例主要由使用整体恶化量表（GDS）测量的非精力充沛的精神状态（p <0.001）解释，检测到显著的抑郁相关代谢模式（p <0.05）。结论：提出了一个用于诊断不确定的记忆障碍病例的DL框架。经纵向追踪诊断证明，具有临床有效性和应用潜力。它的有效诊断也为基于神经退行性变和抑郁精神状态的不确定病例提供了证据和解释。
Objectives: Neuropsychological tests are an important basis for the memory impairment diagnosis in Alzheimer’s disease (AD). However, multiple memory tests might be conflicting within-subjects and lead to uncertain diagnoses in some cases. This study proposed a framework to diagnose the uncertain cases of memory impairment. Methods: We collected 2,386 samples including AD, mild cognitive impairment (MCI), and cognitive normal (CN) using 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) and three different neuropsychological tests (Mini-Mental State Examination, Alzheimer’s Disease Assessment Scale-Cognitive Subscale, and Clinical Dementia Rating) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). A deep learning (DL) framework using FDG-PET was proposed to diagnose uncertain memory impairment cases that were conflicting between tests. Subsequent ANOVA, chi-squared, and t-test were used to explain the potential causes of uncertain cases. Results: For certain cases in the testing set, the proposed DL framework outperformed other methods with 95.65% accuracy. For the uncertain cases, its positive diagnoses had a significant (p < 0.001) worse decline in memory function than negative diagnoses in a longitudinal study of 40 months on average. In the memory-impaired group, uncertain cases were mainly explained by an AD metabolism pattern but mild in extent (p < 0.05). In the healthy group, uncertain cases were mainly explained by a non-energetic mental state (p < 0.001) measured using a global deterioration scale (GDS), with a significant depression-related metabolism pattern detected (p < 0.05). Conclusion: A DL framework for diagnosing uncertain cases of memory impairment is proposed. Proved by longitudinal tracing of its diagnoses, it showed clinical validity and had application potential. Its valid diagnoses also provided evidence and explanation of uncertain cases based on the neurodegeneration and depression mental state.
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DOI：
10.1016/j.jalz.2011.03.005
发表时间：
2011-05
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
McKhann GM;Knopman DS;Chertkow H;Hyman BT;Jack CR Jr;Kawas CH;Klunk WE;Koroshetz WJ;Manly JJ;Mayeux R;Mohs RC;Morris JC;Rossor MN;Scheltens P;Carrillo MC;Thies B;Weintraub S;Phelps CH
通讯作者：
Phelps CH
DOI：
10.1016/j.jalz.2010.03.003
发表时间：
2010-05
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
Jagust WJ;Bandy D;Chen K;Foster NL;Landau SM;Mathis CA;Price JC;Reiman EM;Skovronsky D;Koeppe RA;Alzheimer's Disease Neuroimaging Initiative
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
影响因子：
2.5
作者：
Critchley, HD
通讯作者：
Critchley, HD
影响因子：
6.9
作者：
De Jager, CA;Milwain, E;Budge, M
通讯作者：
Budge, M
影响因子：
14
作者：
Klunk, William E.;Koeppe, Robert A.;Price, Julie C.;Benzinger, Tammie L.;Devous, Michael D., Sr.;Jagust, William J.;Johnson, Keith A.;Mathis, Chester A.;Minhas, Davneet;Pontecorvo, Michael J.;Rowe, Christopher C.;Skovronsky, Daniel M.;Mintun, Mark A.
通讯作者：
Mintun, Mark A.