{"doi":"10.21203/rs.3.rs-3290598/v1","title":"Advancing Tau-PET quantification in Alzheimer's disease with machine learning: introducing THETA, a novel tau summary measure","abstract":"Alzheimer's disease (AD) exhibits spatially heterogeneous 3R/4R tau pathology distributions across participants, making it a challenge to quantify extent of tau deposition. Utilizing Tau-PET from three independent cohorts, we trained and validated a machine learning model to identify visually positive Tau-PET scans from regional SUVR values and developed a novel summary measure, THETA, that accounts for heterogeneity in tau deposition. The model for identification of tau positivity achieved a balanced test accuracy of 95% and accuracy of ≥87% on the validation datasets. THETA captured heterogeneity of tau deposition, had better association with clinical measures, and corresponded better with visual assessments in comparison with the temporal meta-region-of-interest Tau-PET quantification methods. Our novel approach aids in identification of positive Tau-PET scans and provides a quantitative summary measure, THETA, that effectively captures the heterogeneous tau deposition seen in AD. The application of THETA for quantifying Tau-PET in AD exhibits great potential.","journal":"Research Square","year":2023,"id":401227,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9521,"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":241102,"name":"Alexis Moscoso","orcid":"0000-0003-0170-036X","position":1,"is_corresponding":false},{"id":1178234,"name":"Sheela Kumari Raghavan","orcid":null,"position":2,"is_corresponding":false},{"id":272791,"name":"Heather J. Wiste","orcid":null,"position":3,"is_corresponding":false},{"id":1059030,"name":"Kohl L. Johnson Sparrman","orcid":null,"position":4,"is_corresponding":false},{"id":503525,"name":"Fiona Heeman","orcid":"0000-0001-7769-8329","position":5,"is_corresponding":false},{"id":754789,"name":"Alejandro Costoya‐Sánchez","orcid":"0000-0002-5072-1282","position":6,"is_corresponding":false},{"id":264830,"name":"Christopher G. Schwarz","orcid":"0000-0002-1466-8357","position":7,"is_corresponding":false},{"id":408153,"name":"Anthony J. Spychalla","orcid":null,"position":8,"is_corresponding":false},{"id":259159,"name":"Val J. Lowe","orcid":"0000-0002-5612-1667","position":9,"is_corresponding":false},{"id":253918,"name":"Jonathan Graff‐Radford","orcid":"0000-0003-2770-0691","position":10,"is_corresponding":false},{"id":49955,"name":"David S. Knopman","orcid":"0000-0002-6544-066X","position":11,"is_corresponding":false},{"id":27599,"name":"Ronald C. Petersen","orcid":"0000-0002-8178-6601","position":12,"is_corresponding":false},{"id":241109,"name":"Michael Schöll","orcid":"0000-0001-7800-1781","position":13,"is_corresponding":false},{"id":49956,"name":"Clifford R. Jack","orcid":"0000-0001-7916-622X","position":14,"is_corresponding":false},{"id":226058,"name":"Prashanthi Vemuri","orcid":"0000-0003-4286-0589","position":15,"is_corresponding":false},{"id":1034674,"name":"Robel K Gebre","orcid":"0000-0002-5746-0994","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-19T01:20:08.195423Z","pmid":"37886506","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":[]}