{"doi":"10.1002/alz.70697","title":"Comparison of amyloid PET acquired through standardized and unstandardized protocols","abstract":"INTRODUCTION: Amyloid positron emission tomography (PET) scans collected by Alzheimer's Disease Research Centers (ADRCs) include site-specific \"mixed protocols\" and, since 2021, standardized protocols through the Standardized, Centralized AD/ADRD Neuroimaging initiative. We compared amyloid PET from cohorts using unstandardized versus standardized pre-processing protocols. METHODS: Across cohorts, amyloid measured in Centiloids (CLs) was derived from 18F-florbetapir (FBP), 18F-florbetaben (FBB), 11C-Pittsburgh compound B (PIB), and 18F-NAV4694 (NAV) scans using identical magnetic resonance imaging-free post-processing pipelines. We evaluated CL distributions across cohorts and tracers using Gaussian mixture models (GMMs). RESULTS: Within each tracer, GMM-derived amyloid negative (A-) CL distributions were similar across cohorts. PIB and NAV showed lower CL variability in the A- range than FBP and FBB. DISCUSSION: Consistent post-processing yielded comparable A- distributions within tracer across cohorts with heterogeneous pre-processing protocols, supporting future ADRC PET data integration. Reduced variability in A- classes for PIB and NAV suggest that lower positivity thresholds may be appropriate. HIGHLIGHTS: Alzheimer's Disease Research Center (ADRC) amyloid positron emission tomography (PET) includes unstandardized and standardized pre-processing. With consistent post-processing, amyloid-negative (A-) Centiloids (CLs) were similar despite variable pre-processing. CLs from 11C-Pittsburgh compound B and 18F-NAV4694 were less variable than 18F-florbetaben and 18F-florbetapir. Similar A- CLs across variable pre-processing supports combining ADRC amyloid PET.","journal":"Alzheimer s & Dementia","year":2025,"id":547104,"datarank":0.14641846096435057,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.042446383880358776,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.042446383880358776,"corpus_percentile":29.682060802970526,"corpus_rank":9091,"citation_count":1,"citer_count":1,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7718,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1439122,"name":"Andrzej Sokołowski","orcid":"0000-0002-2787-6665","position":1,"is_corresponding":false},{"id":1439123,"name":"Luca Guerra","orcid":"0000-0003-4197-2060","position":2,"is_corresponding":false},{"id":882938,"name":"Philip S Insel","orcid":null,"position":3,"is_corresponding":false},{"id":51710,"name":"William Jagust","orcid":null,"position":4,"is_corresponding":false},{"id":315397,"name":"Theresa M. Harrison","orcid":"0000-0002-2036-3496","position":5,"is_corresponding":false},{"id":29931,"name":"Elizabeth C. Mormino","orcid":"0000-0002-4542-6537","position":6,"is_corresponding":false},{"id":289692,"name":"Karly Alex Cody","orcid":"0000-0001-5996-2560","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-19T02:53:36.567932Z","pmid":"40983958","pmcid":"PMC12453954","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}