Amyloid quantification in the oldest-old: selecting regions for optimizing correspondence between postmortem pathology and amyloid PET

Positron emission tomography (PET) is the current gold standard for assessing amyloid burden in vivo and is often quantified using standardized uptake value ratios (SUVRs). We evaluated the performance of four SUVR calculation methods for predicting amyloid deposition at autopsy in a group of oldest-old participants. We analyzed data from 165 participants from The 90 + Study with both florbetapir PET and postmortem assessments. PET scans were re-aligned to an older age template using a custom MRI-free pipeline. SUVRs were computed from two target regions—combined posterior cingulate and precuneus (PC2) and an established cortical summary region—and two reference regions—white matter (WM) and cerebellar gray matter. Their predictive performance for amyloid beta positivity (Thal phase ≥ 3) and neuritic plaque positivity (moderate or frequent CERAD score) was evaluated using receiver operating characteristic analyses, including DeLong’s test for comparisons. Participants had a mean (± standard deviation) age at PET of 94 ± 3 years, and age at death of 97 ± 4 years. Most participants had amyloid at autopsy: 113 (68%) were amyloid beta positive, and 104 (63%) were neuritic plaque positive. The best performing SUVR was the PC2+WM, yielding an area under the curve (AUC) of 0.84 (95% CI 0.78–0.90) for amyloid beta and 0.82 (95% CI 0.76–0.89) for neuritic plaque, with an optimal cutoff of 0.77 for both outcomes. Reference and target region selection was more consequential for predicting amyloid beta positivity, with the WM consistently outperforming the cerebellar gray matter as a reference region for both target regions, while the PC2 significantly outperformed the cortical summary region for the cerebellar gray matter reference (P < 0.001) but only trended for significance for the WM reference (P = 0.069, DeLong’s test). Our findings suggest that using a WM reference and a limited cortical target region may improve PET-neuropathology correspondence, especially in older cohorts.

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Publication Details

Journal
Acta Neuropathologica Communications
Published
2025-12-01
DOI
https://doi.org/10.1186/s40478-025-02198-3
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Amyloid quantification in the oldest-old: selecting regions for optimizing correspondence between postmortem pathology and amyloid PET

Syed Bukhari, Jiaxin Yu, Dana Greenia, Davis C. Woodworth et al.
Acta Neuropathologica Communications
Dementia and Cognitive Impairment Research
article

Amyloid quantification in the oldest-old: selecting regions for optimizing correspondence between postmortem pathology and amyloid PET

Syed Bukhari, Jiaxin Yu, Dana Greenia, Davis C. Woodworth, Thomas J. Montine, María M. Corrada, S. Ahmad Sajjadi, Charles S DeCarli, Claudia H. Kawas, Tianchen Qian, Evan Fletcher
article en

Abstract

Positron emission tomography (PET) is the current gold standard for assessing amyloid burden in vivo and is often quantified using standardized uptake value ratios (SUVRs). We evaluated the performance of four SUVR calculation methods for predicting amyloid deposition at autopsy in a group of oldest-old participants. We analyzed data from 165 participants from The 90 + Study with both florbetapir PET and postmortem assessments. PET scans were re-aligned to an older age template using a custom MRI-free pipeline. SUVRs were computed from two target regions—combined posterior cingulate and precuneus (PC2) and an established cortical summary region—and two reference regions—white matter (WM) and cerebellar gray matter. Their predictive performance for amyloid beta positivity (Thal phase ≥ 3) and neuritic plaque positivity (moderate or frequent CERAD score) was evaluated using receiver operating characteristic analyses, including DeLong’s test for comparisons. Participants had a mean (± standard deviation) age at PET of 94 ± 3 years, and age at death of 97 ± 4 years. Most participants had amyloid at autopsy: 113 (68%) were amyloid beta positive, and 104 (63%) were neuritic plaque positive. The best performing SUVR was the PC2+WM, yielding an area under the curve (AUC) of 0.84 (95% CI 0.78–0.90) for amyloid beta and 0.82 (95% CI 0.76–0.89) for neuritic plaque, with an optimal cutoff of 0.77 for both outcomes. Reference and target region selection was more consequential for predicting amyloid beta positivity, with the WM consistently outperforming the cerebellar gray matter as a reference region for both target regions, while the PC2 significantly outperformed the cortical summary region for the cerebellar gray matter reference (P < 0.001) but only trended for significance for the WM reference (P = 0.069, DeLong’s test). Our findings suggest that using a WM reference and a limited cortical target region may improve PET-neuropathology correspondence, especially in older cohorts.

Acta Neuropathologica CommunicationsVol. 14(1)
Palo Alto University (US), University of California, Irvine (US), University of California, Davis (US), Stanford University (US)
Openalex Percentile: Top 56%
Dementia and Cognitive Impairment Research
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