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January 1, 2017NeuroImage ClinicalOpen Access

Optimized classification of 18F-Florbetaben PET scans as positive and negative using an SUVR quantitative approach and comparison to visual assessment

Santiago Bullich John Seibyl Ana M. Catafau Aleksandar Jovalekic Norman Koglin Henryk Barthel Osama Sabri Susan De Santi

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Abstract

â¢SUVR cutoffs to classify Florbetaben PET scans as positive and negative were generated.â¢SUVR cutoffs were validated against post-mortem histopathological confirmation.â¢Added value of SUVR cutoff classification to visual assessment was evaluated.â¢SUVR cutoff classification provided higher accuracy than some non-expert readers.â¢Results emphasize the contribution that SUVR cutoffs may have to visual assessment.

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Bullich et al. (2017) studied this question.

synapsesocial.com/papers/6a1974e3f3c200df10586724 https://doi.org/10.1016/j.nicl.2017.04.025

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