{"doi":"10.14283/jpad.2023.17","title":"Cross-Sectional and Longitudinal Comparison of Tau Imaging with 18F-MK6240 and 18F-Flortaucipir in Populations Matched for Age, MMSE and Brain Beta-Amyloid Burden","abstract":"OBJECTIVES: Longitudinal tau quantification may provide a useful marker of drug efficacy in clinical trials. Different tau PET tracers may have different sensitivity to longitudinal changes, but without a head-to-head dataset or a carefully designed case-matching procedure, comparing results in different cohorts can be biased. In this study, we compared the tau PET tracers, 18F-MK6240 and 18F-flortaucipir (FTP), both cross-sectionally and longitudinally by case-matching subjects in the AIBL and ADNI longitudinal cohort studies. METHODS: A subset of 113 participants from AIBL and 113 from ADNI imaged using 18F-MK6240 and 18F-FTP respectively, with baseline and follow-up, were matched based on baseline clinical diagnosis, MMSE, age and amyloid (Aβ) PET centiloid value. Subjects were grouped as 64 Aβ- cognitively unimpaired (CU), 22 Aβ+ CU, 14 Aβ+ mild cognitive impairment (MCI) and 13 Aβ+ Alzheimer's disease (AD). Tracer retention was measured in the mesial, temporoparietal, rest of the cortex, and a meta-temporal region composed of entorhinal, inferior/middle temporal, fusiform, parahippocampus and amygdala. T-tests were employed to assess group separation at baseline using SUVR Z-scores and longitudinally using SUVR%/Yr. RESULTS: Both tracers detected statistically significant differences at baseline in most regions between all clinical groups. Only 18F-MK6240 showed statistically significant higher rate of SUVR increase in Aβ+ CU compared to Aβ- CU in the mesial, meta-temporal and temporoparietal regions. CONCLUSION: 18F-MK6240 appears to be a more sensitive tracer for change in tau level at the preclinical stage of AD.","journal":"The Journal of Prevention of Alzheimer s Disease","year":2023,"id":357620,"datarank":0.38474240361923057,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":0.0,"self_endowment_contribution":0.38474240361923057,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9447,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1075814,"name":"Natasha Krishnadas","orcid":"0000-0002-5374-2839","position":1,"is_corresponding":false},{"id":236166,"name":"Vincent Doré","orcid":"0000-0002-8051-0558","position":2,"is_corresponding":false},{"id":1107873,"name":"R. Mulligan","orcid":null,"position":3,"is_corresponding":false},{"id":1107874,"name":"R. Tyrrell","orcid":null,"position":4,"is_corresponding":false},{"id":1107875,"name":"S. Bozinovski","orcid":null,"position":5,"is_corresponding":false},{"id":1107876,"name":"K. Huang","orcid":null,"position":6,"is_corresponding":false},{"id":230039,"name":"Jürgen Fripp","orcid":"0000-0001-9705-0079","position":7,"is_corresponding":false},{"id":1107877,"name":"V.L. Villemagne","orcid":null,"position":8,"is_corresponding":false},{"id":1107878,"name":"C.C. Rowe","orcid":null,"position":9,"is_corresponding":false},{"id":236163,"name":"Pierrick Bourgeat","orcid":"0000-0002-2605-4766","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:13:39.186262Z","pmid":"36946452","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":[]}