1. Discrimination Between Patients With Alzheimer Disease and Healthy Subjects Using Layer Analysis of Cerebral Blood Flow and Xenon Solubility Coefficient in Xenon-Enhanced Computed Tomography.
- Author
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Sase S, Yamamoto H, Kawashima E, Tan X, and Sawa Y
- Subjects
- Aged, Aged, 80 and over, Brain blood supply, Brain diagnostic imaging, Brain physiopathology, Contrast Media, Female, Humans, Male, Alzheimer Disease metabolism, Alzheimer Disease physiopathology, Cerebrovascular Circulation physiology, Image Enhancement methods, Tomography, X-Ray Computed methods, Xenon metabolism
- Abstract
Objective: The aim of this study was to develop a method for discriminating between patients with Alzheimer disease (AD) and healthy subjects using layer analysis of cerebral blood flow (CBF) and xenon solubility coefficient (λ) in xenon-enhanced computed tomography (CT)., Methods: Xenon-enhanced CT was performed on 27 patients with AD (81.7 [3.3] years old) and 15 healthy volunteers (78.6 [4.0] years old) using a wide volume CT. For each subject, we created the first- (surface) to sixth-layer images of CBF and λ for the 6 viewing directions (layer thickness, 5 mm). For the discriminant views, receiver operating characteristic curves for the ratio of CBF to λ were created to identify patients with AD., Results: For the third- and fourth-layer left lateral views, which were designated as the discriminant views, areas under the receiver operating characteristic curve were 96.8% and 97.4%, respectively., Conclusions: With the use of the discriminant views obtained by xenon-enhanced CT, we could effectively discriminate between patients with AD and healthy subjects using both CBF and λ.
- Published
- 2017
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