Impact of anchoring cutoff point of tau positivity on CU young or older adults using Flortaucipir and MK‐6240 – Head Study
Abstract Background Tau PET provides continuous measurements of tau tangle pathology in the human brain. However, establishing cutoffs is crucial for selecting individuals for treatment in clinical trials or practice. In the absence of postmortem data, PET cutoffs must be established using statistical methods based on what is considered normal tracer uptake. In this study, we tested the impact of various methods to determine tau positivity using two different tau PET tracers in individuals scanned head‐to‐head. Methods We studied 147 individuals from Head‐to‐Head Harmonization of Tau Tracers in Alzheimer's Disease (HEAD) study with tau tangle PET scans with [18F]Flortaucipir and [18F]MK‐6240, and amyloid‐ß (Aß) PET. Tau deposition was measured with the standardized uptake value ratio (SUVR) of each agent in the Medial Temporal Lobe (MTL) and the Entorhinal Cortex (EC). To determine Tau positivity three different methods were used: >2.5 standard deviations (SD) than the mean of the young, >1.5 SD mean of the cognitively unimpaired (CU) and >1.5 SD mean of CUAß‐. Results Demographic characteristics of the study population are reported in Table 1. Using the cutoff >2.5 SD mean of young, [18F]Flortaucipir was positive in 35 (23.8%) and 69 (46.9%) individuals in the EC and MTL, respectively. [18F]MK‐6240 was positive in 49 (33.3%) and 58 (39.5%) individuals in EC and in MTL. Using >1.5 SD mean of CUAß‐, [18F]Flortaucipir was positive in 38 (25.9%) and 45 (30.6%) individuals in EC and MTL, while [18F]MK‐6240 was positive in 51 (34.7%) and 50 (34.0%) in EC and in MTL (Figure 1). Conclusions Our findings indicate variations in tau positivity when employing different methods based on either the young or CUAß‐. [18F]Flortaucipir exhibited a higher rate of positive results when the method based on young individuals was applied in the MTL. Conversely, [18F]MK‐6240 showed more consistent and generally higher positivity when other methods were used for cutoff determination and/or in the EC region. Further research with a larger sample size is required to gain a better understanding of the optimal cutoff determination methods for these tracers.
Authors
- Val J. Lowe (ORCID: https://orcid.org/0000-0002-5612-1667)
- Dana Tudorascu (ORCID: https://orcid.org/0000-0003-4675-3692)
- Tharick Ali Pascoal (ORCID: https://orcid.org/0000-0001-9057-8014)
- Cynthia Felix (ORCID: https://orcid.org/0000-0002-4283-4498)
- Guilherme Povala (ORCID: https://orcid.org/0000-0002-2023-6569)
- Elisa de Paula
- Belén Pascual (ORCID: https://orcid.org/0000-0002-4467-7406)
- Carolina Soares (ORCID: https://orcid.org/0000-0002-2338-4495)
- William E. Klunk (ORCID: https://orcid.org/0000-0001-5512-0251)
- Guilherme Bauer‐Negrini (ORCID: https://orcid.org/0000-0003-0956-557X)
- Pâmela C.L. Ferreira (ORCID: https://orcid.org/0000-0003-2134-9829)
- Paulo Caramelli (ORCID: https://orcid.org/0000-0002-4786-6990)
- Emma Patrice Ruppert (ORCID: https://orcid.org/0000-0001-5877-5472)
- Matheus Scarpatto Rodrigues (ORCID: https://orcid.org/0000-0002-7794-6588)
- Bruna Bellaver (ORCID: https://orcid.org/0000-0002-2212-3373)
- William J. Jagust (ORCID: https://orcid.org/0000-0002-4458-113X)
- David N. Soleimani‐Meigooni (ORCID: https://orcid.org/0000-0003-4197-3039)
- Sarah Abbas
- Suzanne L. Baker (ORCID: https://orcid.org/0000-0003-0209-3127)
- Firoza Zubeida Lussier (ORCID: https://orcid.org/0000-0002-6877-4825)
- Lívia Amaral (ORCID: https://orcid.org/0009-0005-4488-763X)
- Hussein Zalzale
- Brian A. Gordon (ORCID: https://orcid.org/0000-0003-2109-2955)
- Pedro Rosa‐Neto (ORCID: https://orcid.org/0000-0001-9116-1376)
- Pampa Saha (ORCID: https://orcid.org/0000-0002-4926-9081)
- França Resende
- Markley S. Oliveira
- Hwamee Oh (ORCID: https://orcid.org/0000-0003-1156-5704)
- Marina Scop Madeiros
Institutions
- Universidade Federal de Minas Gerais (BR)
- Houston Methodist (US)
- Lawrence Berkeley National Laboratory (US)
- University of Pittsburgh (US)
- University of California, San Francisco (US)
- Washington University in St. Louis (US)
- Brown University (US)
- Mayo Clinic in Arizona (US)
- McGill University (CA)
- University of California, Berkeley (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.094086
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00