Advancing Tau-PET quantification in Alzheimer’s disease with machine learning: introducing THETA, a novel tau summary measure

Alzheimer’s disease (AD) exhibits spatially heterogeneous 3R/4R tau pathology distributions across participants, making it a challenge to quantify extent of tau deposition. Utilizing Tau-PET from three independent cohorts, we trained and validated a machine learning model to identify visually positi...

Descripción completa

Detalles Bibliográficos
Autores principales: Gebre, Robel K., Rial, Alexis Moscoso, Raghavan, Sheelakumari, Wiste, Heather J., Johnson Sparrman, Kohl L, Heeman, Fiona, Costoya-Sánchez, Alejandro, Schwarz, Christopher G., Spychalla, Anthony J., Lowe, Val J., Graff-Radford, Jonathan, Knopman, David S., Petersen, Ronald C., Schöll, Michael, Jack, Clifford R., Vemuri, Prashanthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602128/
https://www.ncbi.nlm.nih.gov/pubmed/37886506
http://dx.doi.org/10.21203/rs.3.rs-3290598/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602128/
https://www.ncbi.nlm.nih.gov/pubmed/37886506
http://dx.doi.org/10.21203/rs.3.rs-3290598/v1

Ejemplares similares