Unknown

Dataset Information

Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease.


ABSTRACT:

Objective

Although beta-amyloid (Aβ) positron emission tomography (PET) images are interpreted visually as positive or negative, approximately 10% are judged as equivocal in Alzheimer's disease. Therefore, we aimed to develop an automated semi-quantitative analysis technique using 18F-flutemetamol PET images without anatomical images.

Methods

Overall, 136 cases of patients administered 18F-flutemetamol were enrolled. Of 136 cases, five PET images each with the highest and lowest values of standardized uptake value ratio (SUVr) of cerebral cortex-to-pons were used to create positive and negative templates. Using these templates, PET images of the remaining 126 cases were standardized, and SUVr images were produced with the pons as a reference region. The

SUBMITTER: Imabayashi E 

PROVIDER: S-EPMC9515054 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature