Open AccessThe use of Centiloids for applying [ 11 C]PiB classification cutoffs across region‐of‐interest delineation methods
Author(s) -
Tudorascu Dana L.,
Minhas Davneet S.,
Lao Patrick J.,
Betthauser Tobey J.,
Yu Zheming,
Laymon Charles M.,
Lopresti Brian J.,
Mathis Chet A.,
Klunk William E.,
Handen Benjamin L.,
Christian Bradley T.,
Cohen Ann D.
Publication year - 2018
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1016/j.dadm.2018.03.006
Subject(s) - intraclass correlation , gold standard (test) , positron emission tomography , standardization , region of interest , nuclear medicine , reliability (semiconductor) , artificial intelligence , statistics , pattern recognition (psychology) , computer science , mathematics , medicine , reproducibility , physics , power (physics) , quantum mechanics , operating system
Centiloid standardization was developed to establish a quantitative outcome measure of amyloid burden that could accommodate the integration of different amyloid positron emission tomography radiotracers or different methods of quantifying the same tracer. The goal of this study was to examine the use of Centiloids for establishing amyloid classification cutoffs for differing region‐of‐interest (ROI) delineation schemes. Methods Using ROIs from hand‐drawn delineation in native space as the gold standard, we compared standard uptake value ratios obtained from the 6 hand‐drawn ROIs that determine amyloid‐positivity classification with standard uptake value ratio obtained from 3 different automated techniques (FreeSurfer, Statistical Parametric Mapping, and superimposed hand‐drawn ROIs in Pittsburgh Compound B template space). We tested between‐methods reliability using repeated measures models and intraclass correlation coefficients. Results We found high reliability between the hand‐drawn standard method and other methods for almost all the regions considered. However, small differences in standard uptake value ratio were found to lead to unreliable classifications when the hand‐drawn native space‐derived cutoffs were used across other ROI delineation methods. Discussion The use of Centiloid standardization greatly improved the agreement of Pittsburgh Compound B classification across methods and may serve as an alternative method for applying cutoffs across methodologically different outcomes.