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FDG-PET improves diagnosis in patients presenting with focal onset variants of Alzheimer’s disease
https://repo.qst.go.jp/records/65546
https://repo.qst.go.jp/records/655469739239a-bcf8-41d7-b086-8b6449ee7cf3
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2014-12-10 | |||||
| タイトル | ||||||
| タイトル | FDG-PET improves diagnosis in patients presenting with focal onset variants of Alzheimer’s disease | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
| 資源タイプ | conference object | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
島田, 斉
× 島田, 斉× al., et× 島田 斉 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Objectives: Alzheimer’s disease (AD) is the cause of approximately 30% of cases of language onset dementia or corticobasal syndrome (CBS). The objective of this study was to determine the accuracy of FDG-PET for detection of AD in patients with primary progressive aphasia (PPA) or CBS. \nMethods: Eighty-six subjects with expert clinical diagnosis of non-fluent (n = 16), semantic (n = 13), or logopenic (n = 19) variants of PPA, CBS (n = 14), or AD (n = 24) underwent FDG and C11-PiB PET. FDG PET Neurostat 3D-SSP was classified as AD or other by readers blind to clinical assessments and PiB. PiB was considered the gold standard with a threshold SUVR of 1.5 indicative of AD pathology. To address biases from subset selection for the AD binary classifier, both conventional and balanced accuracy were calculated. \nResults: Diagnoses of AD based on FDG PET resulted in 86% accuracy both conventional and balanced. In comparison, diagnoses based on clinical assessment resulted in 64% conventional and 67% balanced accuracy. For the combined subset grouping of CBS and the 3 PPA variants, accuracies were 88% conventional and 89% balanced for FDG PET. Mean discordance between conventional and balanced accuracies for the 5 diagnostic subsets was 13% for PET. \nConclusions: Brain FDG PET read with Neurostat 3D-SSP accurately detects Alzheimer’s disease in patients presenting with language onset dementia or corticobasal syndrome. In these diagnostically challenging cohorts, FDG PET can provide more specific diagnosis enabling more appropriate therapy. |
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| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | SNMMI annual meeting 2014 | |||||
| 発表年月日 | ||||||
| 日付 | 2014-06-09 | |||||
| 日付タイプ | Issued | |||||
