Increasing Precision of Clinical Diagnosis of Alzheimer's Disease Using a Combined Algorithm Incorporating Clinical and Novel Biomarker Data.
Document Type
Article
Abstract
Establishing the in vivo diagnosis of Alzheimer's disease (AD) or other dementias relies on clinical criteria; however, the accuracy of these criteria can be limited. The diagnostic accuracy is 77% for a clinical diagnosis of AD, even among experts. We performed a review through PubMed of articles related to specific diagnostic modalities, including APOE genotyping, cerebrospinal fluid (CSF) testing, fludeoxyglucose F 18 positron emission tomography (PET), amyloid PET, tau PET, computed tomography (CT), single-photon emission CT, magnetic resonance imaging (MRI), and B12 and thyroid-stimulating hormone screening, to determine the specificity and sensitivity of each test used in the clinical diagnosis of AD. We added a novel immunomagnetic reduction assay that provides ultrasensitivity for analyzing the levels of plasma tau and beta amyloid 42 (Aβ
Publication Date
7-1-2017
Publication Title
Neurol Ther
ISSN
2193-8253
Volume
6
Issue
Suppl 1
First Page
83
Last Page
95
PubMed ID
28733959
Digital Object Identifier (DOI)
10.1007/s40120-017-0069-5
Recommended Citation
Sabbagh, Marwan N; Lue, Lih-Fen; Fayard, Daniel; and Shi, Jiong, "Increasing Precision of Clinical Diagnosis of Alzheimer's Disease Using a Combined Algorithm Incorporating Clinical and Novel Biomarker Data." (2017). Neurology. 1740.
https://scholar.barrowneuro.org/neurology/1740