Cited 315 times in
Discriminative Accuracy of [18F]flortaucipir Positron Emission Tomography for Alzheimer Disease vs Other Neurodegenerative Disorders
DC Field | Value | Language |
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dc.contributor.author | 류철형 | - |
dc.contributor.author | 유영훈 | - |
dc.contributor.author | 조한나 | - |
dc.contributor.author | 최재용 | - |
dc.date.accessioned | 2018-10-22T13:19:25Z | - |
dc.date.available | 2018-10-22T13:19:25Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 0098-7484 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/163757 | - |
dc.description.abstract | Importance: The positron emission tomography (PET) tracer [18F]flortaucipir allows in vivo quantification of paired helical filament tau, a core neuropathological feature of Alzheimer disease (AD), but its diagnostic utility is unclear. Objective: To examine the discriminative accuracy of [18F]flortaucipir for AD vs non-AD neurodegenerative disorders. Design, Setting, and Participants: In this cross-sectional study, 719 participants were recruited from 3 dementia centers in South Korea, Sweden, and the United States between June 2014 and November 2017 (160 cognitively normal controls, 126 patients with mild cognitive impairment [MCI], of whom 65.9% were amyloid-β [Aβ] positive [ie, MCI due to AD], 179 patients with AD dementia, and 254 patients with various non-AD neurodegenerative disorders). Exposures: The index test was the [18F]flortaucipir PET standardized uptake value ratio (SUVR) in 5 predefined regions of interest (ROIs). Cut points for tau positivity were determined using the mean +2 SDs observed in controls and Youden Index for the contrast AD dementia vs controls. Main Outcomes and Measures: The reference standard was the clinical diagnosis determined at the specialized memory centers. In the primary analysis, the discriminative accuracy (ie, sensitivity and specificity) of [18F]flortaucipir was examined for AD dementia vs all non-AD neurodegenerative disorders. In secondary analyses, the area under the curve (AUC) of [18F]flortaucipir SUVR was compared with 3 established magnetic resonance imaging measures (hippocampal volumes and AD signature and whole-brain cortical thickness), and sensitivity and specificity of [18F]flortaucipir in MCI due to AD vs non-AD neurodegenerative disorders were determined. Results: Among 719 participants, the overall mean (SD) age was 68.8 (9.2) years and 48.4% were male. The proportions of patients who were amyloid-β positive were 26.3%, 65.9%, 100%, and 23.8% among cognitively normal controls, patients with MCI, patients with AD dementia, and patients with non-AD neurodegenerative disorders, respectively. [18F]flortaucipir uptake in the medial-basal and lateral temporal cortex showed 89.9% (95% CI, 84.6%-93.9%) sensitivity and 90.6% (95% CI, 86.3%-93.9%) specificity using the threshold based on controls (SUVR, 1.34), and 96.8% (95% CI, 92.0%-99.1%) sensitivity and 87.9% (95% CI, 81.9%-92.4%) specificity using the Youden Index-derived cutoff (SUVR, 1.27) for distinguishing AD dementia from all non-AD neurodegenerative disorders. The AUCs for all 5 [18F]flortaucipir ROIs were higher (AUC range, 0.92-0.95) compared with the 3 volumetric MRI measures (AUC range, 0.63-0.75; all ROIs P < .001). Diagnostic performance of the 5 [18F]flortaucipir ROIs were lower in MCI due to AD (AUC range, 0.75-0.84). Conclusions and Relevance: Among patients with established diagnoses at a memory disorder clinic, [18F]flortaucipir PET was able to discriminate AD from other neurodegenerative diseases. The accuracy and potential utility of this test in patient care require further research in clinically more representative populations. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | American Medical Association | - |
dc.relation.isPartOf | JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Discriminative Accuracy of [18F]flortaucipir Positron Emission Tomography for Alzheimer Disease vs Other Neurodegenerative Disorders | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Neurology | - |
dc.contributor.googleauthor | Rik Ossenkoppele | - |
dc.contributor.googleauthor | Gil D. Rabinovici | - |
dc.contributor.googleauthor | Ruben Smith | - |
dc.contributor.googleauthor | Hanna Cho | - |
dc.contributor.googleauthor | Michael Schöll | - |
dc.contributor.googleauthor | Olof Strandberg | - |
dc.contributor.googleauthor | Sebastian Palmqvist | - |
dc.contributor.googleauthor | Niklas Mattsson | - |
dc.contributor.googleauthor | Shorena Janelidze | - |
dc.contributor.googleauthor | Alexander Santillo | - |
dc.contributor.googleauthor | Tomas Ohlsson | - |
dc.contributor.googleauthor | Jonas Jögi | - |
dc.contributor.googleauthor | Richard Tsai | - |
dc.contributor.googleauthor | Renaud La Joie | - |
dc.contributor.googleauthor | Joel Kramer | - |
dc.contributor.googleauthor | Adam L. Boxer | - |
dc.contributor.googleauthor | Maria L. Gorno-Tempini | - |
dc.contributor.googleauthor | Bruce L. Miller | - |
dc.contributor.googleauthor | Jae Y. Choi | - |
dc.contributor.googleauthor | Young H. Ryu | - |
dc.contributor.googleauthor | Chul H. Lyoo | - |
dc.contributor.googleauthor | Oskar Hansson | - |
dc.identifier.doi | 10.1001/jama.2018.12917 | - |
dc.contributor.localId | A01333 | - |
dc.contributor.localId | A02485 | - |
dc.contributor.localId | A03920 | - |
dc.contributor.localId | A04695 | - |
dc.relation.journalcode | J01196 | - |
dc.identifier.eissn | 1538-3598 | - |
dc.identifier.pmid | 30326496 | - |
dc.identifier.url | https://jamanetwork.com/journals/jama/fullarticle/2702872 | - |
dc.contributor.alternativeName | Lyoo, Chul Hyoung | - |
dc.contributor.alternativeName | Ryu, Young Hoon | - |
dc.contributor.alternativeName | Cho, Hanna | - |
dc.contributor.alternativeName | Choi, Jae Yong | - |
dc.contributor.affiliatedAuthor | Lyoo, Chul Hyoung | - |
dc.contributor.affiliatedAuthor | Ryu, Young Hoon | - |
dc.contributor.affiliatedAuthor | Cho, Hanna | - |
dc.contributor.affiliatedAuthor | Choi, Jae Yong | - |
dc.citation.volume | 320 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1151 | - |
dc.citation.endPage | 1162 | - |
dc.identifier.bibliographicCitation | JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, Vol.320(11) : 1151-1162, 2018 | - |
dc.identifier.rimsid | 59053 | - |
dc.type.rims | ART | - |
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