Detailed Information

Cited 4 time in webofscience Cited 0 time in scopus
Metadata Downloads

Finding the optimal cutoff value for amyloid beta positivity using the iterative outlier method and concordance rate

Authors
Kim, HR[Kim, Hang-Rai]Choe, YS[Choe, Yeong Sim]Moon, SH[Moon, Seung Hwan]Kim, HJ[Kim, Hee Jin]Jang, H[Jang, Hyemin]Na, DL[Na, Duk L.]Park, S[Park, Seongbeom]Seo, SW[Seo, Sang Won]
Issue Date
Jun-2021
Publisher
SUNGKYUNKWAN UNIV SCH MEDICINE
Keywords
Alzheimer disease; Amyloid; Positron-emission tomography
Citation
PRECISION AND FUTURE MEDICINE, v.5, no.2, pp.83 - 89
Journal Title
PRECISION AND FUTURE MEDICINE
Volume
5
Number
2
Start Page
83
End Page
89
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/89466
DOI
10.23838/pfm.2021.00023
ISSN
2508-7940
Abstract
Purpose: The purpose of this study was to calculate the cutoff value for amyloid beta (A beta) positron emission tomography (PET) positivity using the iterative outlier method and to evaluate its validity based on the concordance rate. Methods: We performed the iterative outlier method on 373 cognitively unimpaired (CU) subjects and calculated the optimal cutoff value for A beta positivity. The validation was performed using the independent dataset, comprising 83 subjects (27 CU, 27 amnestic mild cognitive impairment, and 29 Alzheimer's dementia). We evaluated the validity of the A beta cutoff value by calculating its concordance rate with the visual assessment and between two different A beta tracers performed in the same subject. Results: The concordance rate of A beta cutoff values with the visual assessment ranged from 84.3% to 91.5%, depending on the reference regions. The concordance rate of the cutoff values between the two A beta tracers ranged from 90.3% to 97.5%, all of which were higher than that of the visual assessment (86.7%). Conclusion: We demonstrated that the iterative outlier method could identify the cutoff value for A beta PET positivity.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Medicine > Department of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher MOON, SEUNG HWAN photo

MOON, SEUNG HWAN
Medicine (Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE