Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure.

Alzheimer disease PET machine learning neurology summary measure tau

Journal

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
ISSN: 1535-5667
Titre abrégé: J Nucl Med
Pays: United States
ID NLM: 0217410

Informations de publication

Date de publication:
25 Jul 2024
Historique:
received: 25 12 2023
accepted: 25 06 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: aheadofprint

Résumé

Alzheimer disease (AD) exhibits spatially heterogeneous 3- or 4-repeat tau deposition across participants. Our overall goal was to develop an automated method to quantify the heterogeneous burden of tau deposition into a single number that would be clinically useful.

Identifiants

DOI: 10.2967/jnumed.123.267273 PMID: 39054278
pubmed: 39054278
pii: jnumed.123.267273
doi: 10.2967/jnumed.123.267273
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 by the Society of Nuclear Medicine and Molecular Imaging.

Auteurs

Robel K Gebre (RK)

Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Alexis Moscoso Rial (AM)

Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Sheelakumari Raghavan (S)

Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Heather J Wiste (HJ)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.

Fiona Heeman (F)

Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.

Alejandro Costoya-Sánchez (A)

Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain.
Nuclear Medicine Department and Molecular Imaging Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Travesía da Choupana s/n, Santiago de Compostela, Spain.

Christopher G Schwarz (CG)

Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Anthony J Spychalla (AJ)

Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Val J Lowe (VJ)

Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Jonathan Graff-Radford (J)

Department of Neurology, Mayo Clinic, Rochester, Minnesota.

David S Knopman (DS)

Department of Neurology, Mayo Clinic, Rochester, Minnesota.

Ronald C Petersen (RC)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Department of Neurology, Mayo Clinic, Rochester, Minnesota.

Michael Schöll (M)

Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Dementia Research Centre, Institute of Neurology, University College London, London, United Kingdom; and.

Melissa E Murray (ME)

Department of Neuroscience, Mayo Clinic, Jacksonville, Florida.

Clifford R Jack (CR)

Department of Radiology, Mayo Clinic, Rochester, Minnesota.

Prashanthi Vemuri (P)

Department of Radiology, Mayo Clinic, Rochester, Minnesota; vemuri.prasanthi@mayo.edu.

Classifications MeSH