{"doi":"10.1002/alz.14301","title":"Investigating the feasibility of <sup>18</sup>F‐flortaucipir PET imaging in the antemortem diagnosis of primary age‐related tauopathy (PART): An observational imaging‐pathological study","abstract":"INTRODUCTION: F-flortaucipir (FTP) PET imaging for antemortem PART diagnosis. METHODS: We analyzed FTP PET scans from 50 autopsy-confirmed PART and 13 control subjects. Temporal lobe uptake was assessed both qualitatively and quantitatively. Demographic and clinicopathological characteristics and voxel-level uptake using SPM12 were compared between FTP-positive and FTP-negative cases. Intra-reader reproducibility was evaluated with Krippendorff's alpha. RESULTS: Minimal/mild and moderate FTP uptake was seen in 32% of PART cases and 62% of controls, primarily in the left inferior temporal lobe. No demographic or clinicopathological differences were found between FTP-positive and FTP-negative cases. High intra-reader reproducibility (α = 0.83) was noted. DISCUSSION: FTP PET imaging did not show a specific uptake pattern for PART diagnosis, indicating that in vivo PART identification using FTP PET is challenging. Similar uptake in controls suggests non-specific uptake in PART. HIGHLIGHTS: F-flortaucipir (FTP) PET scans were analyzed for diagnosing PART antemortem. 32% of PART cases had minimal/mild FTP uptake in the left inferior temporal lobe. Similar to PART FTP uptake was found in 62% of control subjects. No specific uptake pattern was found, challenging in vivo PART diagnosis.","journal":"Alzheimer s & Dementia","year":2024,"id":469531,"datarank":0.26640924379071507,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.058465089622731475,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.058465089622731475,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":2,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9009,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1052259,"name":"Ryota Satoh","orcid":"0000-0002-3418-2987","position":1,"is_corresponding":false},{"id":474013,"name":"Nha Trang Thu Pham","orcid":null,"position":2,"is_corresponding":false},{"id":90591,"name":"Aivi T. Nguyen","orcid":"0000-0003-1809-9451","position":3,"is_corresponding":false},{"id":49956,"name":"Clifford R. Jack","orcid":"0000-0001-7916-622X","position":4,"is_corresponding":false},{"id":27599,"name":"Ronald C. Petersen","orcid":"0000-0002-8178-6601","position":5,"is_corresponding":false},{"id":1303615,"name":"Reichard R. Ross","orcid":null,"position":6,"is_corresponding":false},{"id":54753,"name":"Dennis W. Dickson","orcid":"0000-0001-7189-7917","position":7,"is_corresponding":false},{"id":259159,"name":"Val J. Lowe","orcid":"0000-0002-5612-1667","position":8,"is_corresponding":false},{"id":271235,"name":"Jennifer L. Whitwell","orcid":"0000-0001-6914-1563","position":9,"is_corresponding":false},{"id":238177,"name":"Keith A. Josephs","orcid":"0000-0003-2930-8634","position":10,"is_corresponding":false},{"id":1276417,"name":"Anna Lavrova","orcid":"0009-0001-7521-7082","position":0,"is_corresponding":true}],"reference_count":56,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:05:32.241298Z","pmid":"39417408","pmcid":null,"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":[]}