The impact of AI correction on Centiloid in a same subject visual read comparison of <sup>18</sup> F‐Florbetapir and <sup>18</sup> F‐NAV4694 Aβ PET
Visual read of amyloid PET can accurately detect levels of amyloid below the traditional thresholds of 20 or 25CL for a positive scan. Visual read thresholds vary by tracer and reader experience. AI correction of CL with the DeepSUVR method significantly improves the performance of Florbetapir but NAV4694 remains more sensitive to low amyloid levels.
Authors
- Vincent Doré (ORCID: https://orcid.org/0000-0002-8051-0558)
- K. Huang
- Aurora Poon
- Antony Sutherland (ORCID: https://orcid.org/0000-0003-0917-5627)
- Tanyaluck Thientunyakit (ORCID: https://orcid.org/0000-0002-6139-7887)
- Azadeh Feizpour
- Tawika Kaewchur (ORCID: https://orcid.org/0000-0001-5309-8943)
- Ishara Paranawithana (ORCID: https://orcid.org/0000-0001-6509-9687)
- Pierrick Bourgeat
- Christopher C. Rowe
- Jurgen Fripp
- H. B. Toh
- Victor L. Villemagne
Institutions
- The Royal Melbourne Hospital (AU)
- Siriraj Hospital (TH)
- University of Pittsburgh (US)
- Florey Institute of Neuroscience and Mental Health (AU)
- CSIRO Health and Biosecurity (AU)
- Austin Health (AU)
- Chiang Mai University (TH)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70862_110277
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00