{"doi":"10.1186/s13550-024-01104-7","title":"Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET","abstract":"Abstract Background Kinetic modeling of 18 F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18 F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. Methods 18 F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer’s disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 s after injection. Dynamic time-activity curves (TACs) for 110 min were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (V T , V s ) in key brain regions with early amyloid accumulation. Non-displaceable binding potential ( $$ {BP}_{ND})$$ was also calculated from the multi-reference tissue model (MRTM). Results Amyloid-positive (AD) patients showed the highest V T and V S in anterior cingulate, posterior cingulate, and precuneus, consistent with $$ {BP}_{ND}$$ analysis. $$ {BP}_{ND} $$ and V T from kinetic models were correlated (r² = 0.46, P < 2 $$ {e}^{-16})$$ with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. V T from 2TCM was highly correlated ( $$ {r}^{2}$$ = 0.65, P < 2 $$ {e}^{-16}$$ ) with Logan graphical V T estimation. Conclusion Non-invasive quantification of amyloid binding from total-body 18 F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to $$ {BP}_{ND} $$ in amyloid-positive and amyloid-negative older individuals.","journal":"EJNMMI Research","year":2024,"id":463932,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9515,"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":656400,"name":"Elizabeth Li","orcid":"0000-0003-2365-0594","position":1,"is_corresponding":false},{"id":1294259,"name":"Anjan Bhattarai","orcid":"0000-0002-9178-6509","position":2,"is_corresponding":false},{"id":351877,"name":"Evan Fletcher","orcid":"0000-0002-9761-3131","position":3,"is_corresponding":false},{"id":1294644,"name":"Evelyn Rebekha Alfaro","orcid":null,"position":4,"is_corresponding":false},{"id":226055,"name":"Danielle Harvey","orcid":"0000-0002-5367-0951","position":5,"is_corresponding":false},{"id":338288,"name":"Benjamin A. Spencer","orcid":null,"position":6,"is_corresponding":false},{"id":256275,"name":"Simon R. Cherry","orcid":"0000-0002-0155-5644","position":7,"is_corresponding":false},{"id":277082,"name":"Charles DeCarli","orcid":"0000-0003-1914-2693","position":8,"is_corresponding":false},{"id":304554,"name":"Audrey P. Fan","orcid":"0000-0001-5850-6117","position":9,"is_corresponding":false},{"id":1294258,"name":"Emily Nicole Holy","orcid":"0009-0000-9420-9195","position":0,"is_corresponding":true}],"reference_count":41,"raw_metadata":null,"created_at":"2026-07-19T02:04:33.257852Z","pmid":"38625413","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":[]}