[18F]-flutemetamol across acquisition timeframes: clinical interpretability combining visual read and Centiloids
Background Quantification is now in the prescribing information of amyloid-PET tracers allowing its use to support visual read. As Centiloid (CL) scaling is increasingly used for decision-making, its robustness to scanning parameters is essential. We aim to examine the impact of timing on the interpretability of [ 18 F]-flutemetamol PET scans, combining visual read and quantification. Methods We analysed two datasets: (1) real-world static scans from the IDEAS study ( N = 499), and (2) ‘dynamic’ data reconstructed into pseudo-static frames in the same individual at varying start times ( N = 89). Visual reads were performed by local and expert readers. Linear models were used to assess the impact of acquisition start time and duration on CL quantification. Measurement variability was compared to test-retest repeatability. Results Visual interpretation was robust across start times, with no significant impact on the ability to classify scans as amyloid positive/negative. Some amyloid-negative scans acquired earlier (60–80 min start-time) exhibited lower grey-white matter contrast, which could reduce expert reader confidence. Quantitative analysis showed that CL values increased with later acquisition times, especially in amyloid-positive scans. In the intermediate CL range (10−30), differences between acquisitions starting at 60 vs 90 min were within expected test-retest variability (<6CL). Group-level adjustment factors can partially mitigate timing effects, but substantial individual variability remains. Discussion At present, the individual-level effect of acquisition start time on CL cannot be reliably and accurately estimated from static imaging. Combined visual and quantitative assessment of [ 18 F]-flutemetamol PET scans across the recommended timeframe supports reliable clinical interpretation. Consistency in acquisition parameters is recommended for repeat scans.
Authors
- Ariane Bollack (ORCID: https://orcid.org/0000-0002-9169-7530)
- Renaud La Joie (ORCID: https://orcid.org/0000-0003-2581-8100)
- Sebastian Palmqvist (ORCID: https://orcid.org/0000-0002-9267-1930)
- Niklas Mattsson (ORCID: https://orcid.org/0000-0002-8885-7724)
- Oskar Hansson (ORCID: https://orcid.org/0000-0001-8467-7286)
- Andrew March
- Gill Farrar (ORCID: https://orcid.org/0000-0002-0726-723X)
- Shota Takemoto (ORCID: https://orcid.org/0009-0001-1796-3984)
- Adam James Schwarz (ORCID: https://orcid.org/0000-0002-9743-6171)
- Mark Battle
- Chris Buckley
- Erik Stromrud
- Ruben Smith
Institutions
- American College of Radiology (US)
- Malmö University (SE)
- Juntendo University (JP)
- University Memory and Aging Center (US)
- Skåne University Hospital (SE)
- Juntendo University Hospital (JP)
- University College London (GB)
Publication Details
- Journal
- NeuroImage Clinical
- Published
- 2026-10-01
- DOI
- https://doi.org/10.1016/j.nicl.2026.104071
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00