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本文引用的文献

1
Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier.使用多类疾病状态指数分类器进行数据驱动的痴呆症鉴别诊断。
Front Aging Neurosci. 2018 Apr 25;10:111. doi: 10.3389/fnagi.2018.00111. eCollection 2018.
2
Amsterdam Dementia Cohort: Performing Research to Optimize Care.阿姆斯特丹痴呆队列研究:实施研究以优化照护。
J Alzheimers Dis. 2018;62(3):1091-1111. doi: 10.3233/JAD-170850.
3
Multiparametric MRI to distinguish early onset Alzheimer's disease and behavioural variant of frontotemporal dementia.多参数磁共振成像用于区分早发性阿尔茨海默病和额颞叶痴呆的行为变异型。
Neuroimage Clin. 2017 May 25;15:428-438. doi: 10.1016/j.nicl.2017.05.018. eCollection 2017.
4
Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium.路易体痴呆的诊断与管理:DLB联盟第四次共识报告
Neurology. 2017 Jul 4;89(1):88-100. doi: 10.1212/WNL.0000000000004058. Epub 2017 Jun 7.
5
MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis.在认知衰退谱系中,脑萎缩和白质高信号的MRI视觉评分受年龄和诊断的影响不同。
Front Aging Neurosci. 2017 May 9;9:117. doi: 10.3389/fnagi.2017.00117. eCollection 2017.
6
Cognitive subtypes of probable Alzheimer's disease robustly identified in four cohorts.在四个队列中,明确识别出可能的阿尔茨海默病的认知亚型。
Alzheimers Dement. 2017 Nov;13(11):1226-1236. doi: 10.1016/j.jalz.2017.03.002. Epub 2017 Apr 17.
7
Differential diagnosis of neurodegenerative diseases using structural MRI data.利用结构磁共振成像数据对神经退行性疾病进行鉴别诊断。
Neuroimage Clin. 2016 Mar 5;11:435-449. doi: 10.1016/j.nicl.2016.02.019. eCollection 2016.
8
Joint assessment of white matter integrity, cortical and subcortical atrophy to distinguish AD from behavioral variant FTD: A two-center study.联合评估白质完整性、皮质和皮质下萎缩以区分阿尔茨海默病与行为变异型额颞叶痴呆:一项双中心研究。
Neuroimage Clin. 2015 Sep 9;9:418-29. doi: 10.1016/j.nicl.2015.08.022. eCollection 2015.
9
Integrating Biomarkers for Underlying Alzheimer's Disease in Mild Cognitive Impairment in Daily Practice: Comparison of a Clinical Decision Support System with Individual Biomarkers.在日常实践中整合用于轻度认知障碍中潜在阿尔茨海默病的生物标志物:临床决策支持系统与个体生物标志物的比较
J Alzheimers Dis. 2016;50(1):261-70. doi: 10.3233/JAD-150548.
10
Neuropsychological assessment and differential diagnosis in young-onset dementias.早发性痴呆的神经心理学评估与鉴别诊断
Psychiatr Clin North Am. 2015 Jun;38(2):265-79. doi: 10.1016/j.psc.2015.01.003. Epub 2015 Mar 7.

评估用于区分不同痴呆类型的诊断测试组合。

Evaluating combinations of diagnostic tests to discriminate different dementia types.

作者信息

Bruun Marie, Rhodius-Meester Hanneke F M, Koikkalainen Juha, Baroni Marta, Gjerum Le, Lemstra Afina W, Barkhof Frederik, Remes Anne M, Urhemaa Timo, Tolonen Antti, Rueckert Daniel, van Gils Mark, Frederiksen Kristian S, Waldemar Gunhild, Scheltens Philip, Mecocci Patrizia, Soininen Hilkka, Lötjönen Jyrki, Hasselbalch Steen G, van der Flier Wiesje M

机构信息

Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Alzheimer Center, Department of Neurology, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands.

出版信息

Alzheimers Dement (Amst). 2018 Aug 17;10:509-518. doi: 10.1016/j.dadm.2018.07.003. eCollection 2018.

DOI:10.1016/j.dadm.2018.07.003
PMID:30320203
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6180596/
Abstract

INTRODUCTION

We studied, using a data-driven approach, how different combinations of diagnostic tests contribute to the differential diagnosis of dementia.

METHODS

In this multicenter study, we included 356 patients with Alzheimer's disease, 87 frontotemporal dementia, 61 dementia with Lewy bodies, 38 vascular dementia, and 302 controls. We used a classifier to assess accuracy for individual performance and combinations of cognitive tests, cerebrospinal fluid biomarkers, and automated magnetic resonance imaging features for pairwise differentiation between dementia types.

RESULTS

Cognitive tests had good performance in separating any type of dementia from controls. Cerebrospinal fluid optimally contributed to identifying Alzheimer's disease, whereas magnetic resonance imaging features aided in separating vascular dementia, dementia with Lewy bodies, and frontotemporal dementia. Combining diagnostic tests increased the accuracy, with balanced accuracies ranging from 78% to 97%.

DISCUSSION

Different diagnostic tests have their distinct roles in differential diagnostics of dementias. Our results indicate that combining different diagnostic tests may increase the accuracy further.

摘要

引言

我们采用数据驱动的方法,研究了不同组合的诊断测试如何有助于痴呆症的鉴别诊断。

方法

在这项多中心研究中,我们纳入了356例阿尔茨海默病患者、87例额颞叶痴呆患者、61例路易体痴呆患者、38例血管性痴呆患者以及302例对照。我们使用一种分类器来评估个体表现以及认知测试、脑脊液生物标志物和自动磁共振成像特征组合在痴呆类型两两鉴别中的准确性。

结果

认知测试在区分任何类型的痴呆与对照方面表现良好。脑脊液对识别阿尔茨海默病的贡献最大,而磁共振成像特征有助于区分血管性痴呆、路易体痴呆和额颞叶痴呆。联合诊断测试提高了准确性,平衡准确率在78%至97%之间。

讨论

不同的诊断测试在痴呆症的鉴别诊断中具有各自独特的作用。我们的结果表明,联合不同的诊断测试可能会进一步提高准确性。