Optimized Atlas for Early Tau-Pet Staging Via Native Space Segmentations

19 Pages Posted: 9 Apr 2025

See all articles by Etienne Aumont

Etienne Aumont

McGill University - Montreal Neurological Institute and Hospital

Brandon J. Hall

McGill University - Montreal Neurological Institute and Hospital

Tevy Chan

McGill University - Montreal Neurological Institute and Hospital

Lydia Trudel

McGill University - Montreal Neurological Institute and Hospital

Gleb Bezgin

McGill University - Montreal Neurological Institute and Hospital

Seyyed Ali Hosseini

McGill University - Montreal Neurological Institute and Hospital

Joseph Therriault

McGill University - Montreal Neurological Institute and Hospital

Arthur C. Macedo

McGill University

Jaime Fernandez Arias

McGill University - Montreal Neurological Institute and Hospital

Nesrine Rahmouni

McGill University

Stijn Servaes

McGill University - Montreal Neurological Institute and Hospital

Paolo Vitali

McGill University - Montreal Neurological Institute and Hospital

Jenna Stevensson

McGill University

Maxime Montembeault

McGill University - Douglas Mental Health University Institute

Jesse Klostranec

McGill University - Montreal Neurological Institute and Hospital

Yasser Iturria-Medina

McGill University - Montreal Neurological Institute and Hospital

Serge Gauthier

McGill University

Pedro Rosa-Neto

McGill University - McGill University Research Centre for Studies in Aging (MCSA)

Abstract

Positron Emission Tomography (PET) early Braak staging might be susceptible to anatomical variability and reduced dimensions of medial temporal lobe (MTL) structures.  Optimized atlases should improve staging accuracy by accounting to size and anatomical variability. This study aimed to compare the accuracy of early tau detection using an optimized MTL segmentation. Six native space MTL structures were used as regions of interest (ROI) for [18F]MK6240 tau-PET images and compared with standard space Braak stage ROIs for 333 participants aged over 55. We used the Rey Auditory Verbal Learning Test (RAVLT) to assess memory. Native and standard space tau-PET stage ROIs were compared, then combined into an optimized MTL atlas. The optimized MTL atlas, informed by native space segmentations, identified more participants with an initial tau accumulation and found an earlier clinically relevant Braak stage III tau accumulation. Standard space approaches can be improved by studying smaller native space ROIs.

Note:
Funding declaration: PRN and the McGill University Research Centre for Studies in Aging receive support from the Weston Bain Institute, the Canadian Institutes of Health Research [MOP-11-51-31; RFN 152985, 159815, 162303], the Canadian Consortium of Neurodegeneration and Aging (CCNA; MOP-11-51-31 -team 1), the Alzheimer’s Association [NIRG-12-92090, NIRP-12-259245], the Brain Canada Foundation (CFI Project 34874; 33397), and the Fonds de Recherche du Québec – Santé (FRQS; Chercheur Boursier, 2020-VICO 279314). EA received funding from a FRQS postdoctoral training scholarship. PRN and SG are members of the CIHR-CCNA Canadian Consortium of Neurodegeneration in Aging. Colin J. Adair Charitable Foundation funded this project.

Conflict of Interests: The authors have no conflict of interest to disclose.

Keywords: Medial temporal lobe, Tau, PET imaging, Alzheimer's Disease, Automatic segmentation

Suggested Citation

Aumont, Etienne and Hall, Brandon J. and Chan, Tevy and Trudel, Lydia and Bezgin, Gleb and Hosseini, Seyyed Ali and Therriault, Joseph and Macedo, Arthur C. and Arias, Jaime Fernandez and Rahmouni, Nesrine and Servaes, Stijn and Vitali, Paolo and Stevensson, Jenna and Montembeault, Maxime and Klostranec, Jesse and Iturria-Medina, Yasser and Gauthier, Serge and Rosa-Neto, Pedro, Optimized Atlas for Early Tau-Pet Staging Via Native Space Segmentations. Available at SSRN: https://ssrn.com/abstract=5204665 or http://dx.doi.org/10.2139/ssrn.5204665

Etienne Aumont

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Brandon J. Hall

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Tevy Chan

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Lydia Trudel

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Gleb Bezgin

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Seyyed Ali Hosseini

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Joseph Therriault

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Arthur C. Macedo

McGill University ( email )

1001 Sherbrooke St. W
Montreal
Canada

Jaime Fernandez Arias

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Nesrine Rahmouni

McGill University ( email )

1001 Sherbrooke St. W
Montreal
Canada

Stijn Servaes

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Paolo Vitali

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Jenna Stevensson

McGill University ( email )

1001 Sherbrooke St. W
Montreal
Canada

Maxime Montembeault

McGill University - Douglas Mental Health University Institute ( email )

Canada

Jesse Klostranec

McGill University - Montreal Neurological Institute and Hospital ( email )

3801 University Street
Montreal, H3A 2B4
Canada

Yasser Iturria-Medina

McGill University - Montreal Neurological Institute and Hospital ( email )

Serge Gauthier

McGill University ( email )

1001 Sherbrooke St. W
Montreal
Canada

Pedro Rosa-Neto (Contact Author)

McGill University - McGill University Research Centre for Studies in Aging (MCSA) ( email )

Montreal
Canada

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