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Multitracer model for staging cortical amyloid deposition using PET imaging
- Source :
- Neurology, article-version (Version of Record) 3, Collij, L E, Heeman, F, Salvado, G, Ingala, S, Altomare, D, de Wilde, A, Konijnenberg, E, van Buchem, M, Yaqub, M, Markiewicz, P, Golla, S S V, Wottschel, V, Wink, A M, Visser, P J, Teunissen, C E, Lammertsma, A A, Scheltens, P, van der Flier, W M, Boellaard, R, van Berckel, B N M, Molinuevo, J L, Gispert, J D, Schmidt, M E, Barkhof, F & Alves, I L 2020, ' Multitracer model for staging cortical amyloid deposition using PET imaging ', Neurology, vol. 95, no. 11, pp. e1538-e1553 . https://doi.org/10.1212/WNL.0000000000010256, Neurology, 95(11), e1538-e1553. Lippincott Williams and Wilkins
- Publication Year :
- 2019
-
Abstract
- ObjectiveTo develop and evaluate a model for staging cortical amyloid deposition using PET with high generalizability.MethodsThree thousand twenty-seven individuals (1,763 cognitively unimpaired [CU], 658 impaired, 467 with Alzheimer disease [AD] dementia, 111 with non-AD dementia, and 28 with missing diagnosis) from 6 cohorts (European Medical Information Framework for AD, Alzheimer's and Family, Alzheimer's Biomarkers in Daily Practice, Amsterdam Dementia Cohort, Open Access Series of Imaging Studies [OASIS]-3, Alzheimer’s Disease Neuroimaging Initiative [ADNI]) who underwent amyloid PET were retrospectively included; 1,049 individuals had follow-up scans. With application of dataset-specific cutoffs to global standard uptake value ratio (SUVr) values from 27 regions, single-tracer and pooled multitracer regional rankings were constructed from the frequency of abnormality across 400 CU individuals (100 per tracer). The pooled multitracer ranking was used to create a staging model consisting of 4 clusters of regions because it displayed a high and consistent correlation with each single-tracer ranking. Relationships between amyloid stage, clinical variables, and longitudinal cognitive decline were investigated.ResultsSUVr abnormality was most frequently observed in cingulate, followed by orbitofrontal, precuneal, and insular cortices and then the associative, temporal, and occipital regions. Abnormal amyloid levels based on binary global SUVr classification were observed in 1.0%, 5.5%, 17.9%, 90.0%, and 100.0% of individuals in stage 0 to 4, respectively. Baseline stage predicted decline in Mini-Mental State Examination (MMSE) score (ADNI: n = 867, F = 67.37, p < 0.001; OASIS: n = 475, F = 9.12, p < 0.001) and faster progression toward an MMSE score ≤25 (ADNI: n = 787, hazard ratio [HR]stage1 2.00, HRstage2 3.53, HRstage3 4.55, HRstage4 9.91, p < 0.001; OASIS: n = 469, HRstage4 4.80, p < 0.001).ConclusionThe pooled multitracer staging model successfully classified the level of amyloid burden in >3,000 individuals across cohorts and radiotracers and detects preglobal amyloid burden and distinct risk profiles of cognitive decline within globally amyloid-positive individuals.
- Subjects :
- 0301 basic medicine
Oncology
Male
medicine.medical_specialty
Fluorine Radioisotopes
Amyloid
Article
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Neuroimaging
Alzheimer Disease
Internal medicine
mental disorders
medicine
Dementia
Humans
Cognitive Dysfunction
Carbon Radioisotopes
Longitudinal Studies
Cognitive decline
Stage (cooking)
Aged
Cerebral Cortex
business.industry
Amyloidosis
Middle Aged
medicine.disease
3. Good health
030104 developmental biology
Positron-Emission Tomography
Cohort
Female
Neurology (clinical)
Abnormality
Alzheimer's disease
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 1526632X and 00283878
- Volume :
- 95
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- Neurology
- Accession number :
- edsair.doi.dedup.....efbf6567a0f98453f15f95cdfed92133