{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ivashchenko OV"],"funding":["Universitas Indonesia","DAAD (German Academic Exchange Service), Förderkennzeichen"],"pagination":["e70043"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12464796"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["52(10)"],"pubmed_abstract":["Background
The process of determining/calculating the time-activity curve (TAC) for radiopharmaceutical therapy (RPT) is generally heavily dependent on user- and site-dependent steps (e.g., the number and schedule of measurement points to be used, selection of the fit function), each having a notable effect on the determination of the time-integrated activity coefficient (TIAC) and thus on the calculated absorbed dose. Despite the high clinical importance of absorbed doses, there is no consensus on the methodology for processing time-activity data or even a clear understanding of the influence of various uncertainties and user-dependent variations in personalized RPT dosimetry on the accuracy of TAC calculations.Purpose
To address this critical unmet need, the time-activity"],"journal":["Medical physics"],"pubmed_title":["Understanding time-activity curve and time-integrated activity variations in radiopharmaceutical therapy challenge: Experience and results."],"pmcid":["PMC12464796"],"funding_grant_id":["NKB-739/UN2.RST/HKP.05.00/2023","57657089","NKB‐739/UN2.RST/HKP.05.00/2023"],"pubmed_authors":["O'Doherty J","Hippelainen E","Grassi E","Tran-Gia J","Glatting G","Heemskerk JWT","Sandstrom M","Hardiansyah D","Ivashchenko OV","Cremonesi M"],"additional_accession":[]},"is_claimable":false,"name":"Understanding time-activity curve and time-integrated activity variations in radiopharmaceutical therapy challenge: Experience and results.","description":"Background
The process of determining/calculating the time-activity curve (TAC) for radiopharmaceutical therapy (RPT) is generally heavily dependent on user- and site-dependent steps (e.g., the number and schedule of measurement points to be used, selection of the fit function), each having a notable effect on the determination of the time-integrated activity coefficient (TIAC) and thus on the calculated absorbed dose. Despite the high clinical importance of absorbed doses, there is no consensus on the methodology for processing time-activity data or even a clear understanding of the influence of various uncertainties and user-dependent variations in personalized RPT dosimetry on the accuracy of TAC calculations.Purpose
To address this critical unmet need, the time-activity","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-07-14T17:14:21.109Z","creation":"2026-06-21T03:12:37.889Z"},"accession":"S-EPMC12464796","cross_references":{"pubmed":["41000030"],"doi":["10.1002/mp.70043"]}}