Amyloid PET Z Score Quantification and Correlation with Visual Semiquantitative Grading.

Publication Type Academic Article
Authors Yadav D, Knight-Greenfield A, Moirano J, Nordvig A, Salgado M, Hamed M, Lin M, RoyChoudhury A, Blum S, Keil S, Intorcia B, Ebani E, Osborne J, Chiang G, Ivanidze J
Journal AJNR Am J Neuroradiol
Volume 47
Issue 5
Pagination 1373-1379
Date Published 05/04/2026
ISSN 1936-959X
Keywords Positron-Emission Tomography, Alzheimer Disease, Plaque, Amyloid, Cognitive Dysfunction
Abstract BACKGROUND AND PURPOSE: Amyloid PET imaging plays a crucial role in the diagnosis of Alzheimer disease and determines eligibility for anti-amyloid therapies. While visual interpretation using regional cortical tracer uptake (RCTU) and brain amyloid plaque load (BAPL) scores remains standard in clinical practice, it is subject to inter-reader variability and may not fully depict the amyloid distribution pattern. RCTU scoring evaluates cortical tracer uptake quantified as: 1, no uptake; 2, focal; and 3, diffuse uptake, while BAPL provides an overall summary score of amyloid plaque load depending on highest RCTU score. Quantitative techniques such as Centiloid scale or z scores may assist in diagnosis, grading, and treatment monitoring. This study evaluates the feasibility of a z score quantification generated from normative database comparison and its correlation with visual RCTU grading. MATERIALS AND METHODS: We retrospectively analyzed 100 patients who underwent [18F]-florbetaben PET imaging between August and October 2024 for cognitive impairment. Visual interpretation was performed using RCTU scoring and overall BAPL score. Quantitative z scores were calculated for 4 cortical regions (frontal, parietal, posterior cingulate/precuneus, and lateral temporal) using a normative database. Correlation between visual and quantitative scores was assessed using Spearman correlation. Z score differences among RCTU categories were evaluated with Kruskal-Wallis and Mann-Whitney U tests. RESULTS: Among 100 patients (median age, 78), 31 were amyloid negative (BAPL1), and 69 were amyloid positive (11 BAPL2, and 58 BAPL3). A total of 400 cortical regions were evaluated (143 RCTU1, 46 RCTU2, 211 RCTU3). Strong positive correlations were observed between RCTU and z scores in all regions (ρ = 0.78-0.88; P < .0001). The regional z scores showed significant differences between RCTU1 and RCTU2, RCTU1 and RCTU3, as well as between RCTU2 and RCTU3 across all 4 regions (P < .05 for all comparisons. Pooled regional analysis also showed statistically significant differences in z scores between all RCTU groups (P < .0001). CONCLUSIONS: Quantitative regional z scores derived from amyloid PET imaging demonstrate a strong correlation with visual assessment (RCTU score), validating their feasibility in clinical interpretation. These findings support the integration of quantitative tools into routine practice to enhance diagnostic confidence, reduce reader variability, and monitoring for amyloid-targeted therapies.
DOI 10.3174/ajnr.A9079
PubMed ID 41198224
PubMed Central ID PMC13138560
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