Visual assessment of [¹⁸F]flutemetamol PET images can detect early amyloid pathology and grade its extent.

ABSTRACT:

Purpose

To investigate the sensitivity of visual read (VR) to detect early amyloid pathology and the overall utility of regional VR.

Methods

[¹⁸F]Flutemetamol PET images of 497 subjects (ALFA+ N = 352; ADC N = 145) were included. Scans were visually assessed according to product guidelines, recording the number of positive regions (0-5) and a final negative/positive classification. Scans were quantified using the standard and regional Centiloid (CL) method. The agreement between VR-based classification and published CL-based cut-offs for early (CL = 12) and established (CL = 30) pathology was determined. An optimal CL cut-off maximizing Youden's index was derived. Global and regional CL quantification was compared to VR. Finally, 28 post-mortem cases from the [

SUBMITTER: Collij LE 

PROVIDER: S-EPMC8175297 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature