Improved interpretation of ¹⁸F-florzolotau PET in progressive supranuclear palsy using a normalization-free deep-learning classifier.

ABSTRACT: While ¹⁸F-florzolotau tau PET is an emerging biomarker for progressive supranuclear palsy (PSP), its interpretation has been hindered by a lack of consensus on visual reading and potential biases in conventional semi-quantitative analysis. As clinical manifestations and regions of elevated ¹⁸F-florzolotau binding are highly overlapping in PSP and the Parkinsonian type of multiple system atrophy (MSA-P), developing a reliable discriminative classifier for ¹⁸F-florzolotau PET is urgently needed. Herein, we developed a normalization-free deep-learning (NFDL) model for ¹⁸F-florzolotau PET, which achieved significantly higher accuracy for both PSP and MSA-P compared to semi-quantitative classifiers. Regions driving the NFDL classifier's decision were

SUBMITTER: Lu J 

PROVIDER: S-EPMC10410511 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature