Development and Validation of a 18F-Flortaucipir PET Visual Stratification Method
Ilke Tunali, Jian Wang, Anupa K. Arora, Min Jung Kim, Sergey Shcherbinin, Michael Pontecorvo, Leonardo Iaccarino

TL;DR
A new method for visually assessing tau levels in Alzheimer's patients using PET scans was developed and validated, showing high agreement among readers.
Contribution
A novel visual stratification method for 18F-flortaucipir PET scans was developed and validated without requiring quantitation.
Findings
The visual method achieved median positive and negative percent agreements of 83.4% and 88.9% against quantitation-based standards.
Inter-reader and intra-reader agreements were nearly perfect with Fleiss κ of 0.8882 and Cohen κ of 0.9599.
The method successfully stratified Alzheimer's patients based on tau levels with high reliability.
Abstract
Tau PET quantitation methods have been used in research settings and clinical trials to measure tau burden for diagnostic, staging, and prognostic purposes. However, these methods require specialized software, skilled analysts, and advanced image processing. We developed a novel 18F-flortaucipir PET (FTP, or Tauvid) visual read method enabling stratification of patients with Alzheimer disease (AD) according to the tau level without the need for quantitation. An independent reader study (I7E-AV-A26) was conducted to test this method against a quantitation-based high-tau standard of truth. Methods: A total of 140 baseline or screening FTP scans were randomly selected from the TRAILBLAZER-ALZ 2 phase 3 trial (NCT04437511). Five qualified imaging physicians were trained for the FTP visual stratification method, using previously identified thresholds and cortical regions of interest thought…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiomics and Machine Learning in Medical Imaging · Advanced MRI Techniques and Applications
