Quantifying extracerebral off‐target contamination in [ <sup>18</sup> F]MK6240 PET imaging using compartmental modeling
A compartmental modeling approach quantifies regional [<sup>18</sup>F]MK6240 extracerebral contamination, potentially improving V<sub>T</sub>, DVR, and SUVR accuracy and sensitivity for early tau detection, even compared to PVC data. Future studies will include more participants and extend these corrections to [<sup>18</sup>F]MK6240 data without dynamic acquisition, broadening applicability in clinical and research settings.
Authors
- Justin S. Sanchez (ORCID: https://orcid.org/0000-0003-4421-3078)
- Amal Tiss (ORCID: https://orcid.org/0000-0002-4825-5569)
- Nicolas J. Guehl (ORCID: https://orcid.org/0000-0001-6876-8292)
- Jessie Fanglu Fu (ORCID: https://orcid.org/0000-0002-4970-7811)
- Alex Becker (ORCID: https://orcid.org/0000-0001-7036-3075)
- Georges El Fakhri (ORCID: https://orcid.org/0000-0002-9005-6993)
- Cristina Lois
- Julie C. Price
- K. N. Johnson
- Marc D. Normandin (ORCID: https://orcid.org/0000-0003-1645-523X)
- Hasan Sari
Institutions
- Harvard University (US)
- Yale University (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_099911
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00