{"doi":"10.1007/s11307-021-01661-6","title":"Comparison of Invasive and Non-invasive Estimation of [11C]PBR28 Binding in Non-human Primates","abstract":null,"journal":"Molecular Imaging and Biology","year":2022,"id":621651,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":688953,"name":"Vesna Sossi","orcid":"0000-0001-7862-5711","position":1,"is_corresponding":false},{"id":343596,"name":"Doris J. Doudet","orcid":null,"position":2,"is_corresponding":false},{"id":1605440,"name":"Lucero Aceves-Serrano","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Comparison of Invasive and Non-invasive Estimation of [11C]PBR28 Binding in Non-human Primates","abstract":"<h4>Purpose</h4>To identify a reliable alternative to the full blood [<sup>11</sup>C]PBR28 quantification method that would be easily replicated in multiple research and clinical settings.<h4>Procedures</h4>Ten [<sup>11</sup>C]PBR28 scans were acquired from 7 healthy non-human primates (NHP). Arterial input functions (AIFs) were averaged to create a population template input function (TIF). Population-based input functions were created by scaling the TIF with injected activity per body weight (PBIF) or unmetabolized tracer activity in blood at 15-,30-, and 60-min post-injection (PBIF15, PBIF30, and PBIF60). Two additional input functions were used: the native unmetabolized total plasma activity (Totals) and the Totals curve metabolite corrected by a scaled template parent fraction from a 30-min sample (TPF30-IF). Total distribution volumes (V<sub>T</sub>s) were calculated using PBIF, PBIF30, PBIF15, PBIF60, Totals, TPF30-IF, and the individual AIF (V<sub>T</sub><sup>AIF</sup>). Distribution volume ratios (DVR) were computed using the cerebellum and the centrum semiovale (CSO), as pseudo-reference regions (DVR<sup>Cereb</sup>, DVR<sup>CSO</sup>). Results obtained with each method were compared to V<sub>T</sub><sup>AIF</sup>. Applicability of these alternative methods was tested on an independent pharmacological challenge dataset of microglial activation and depletion. Evaluation was carried at baseline, immediately after intervention (acute), and weeks post-intervention (post-recovery).<h4>Results</h4>V<sub>T</sub>s computed using PBIF15 and PBIF30 showed the best correlation to V<sub>T</sub><sup>AIF</sup> (r > 0.90), while V<sub>T</sub> derived from the blood-free-scaled PBIF showed poor correlation (r = 0.46) and DVR<sup>CSO</sup> correlated the least (r = 0.26). In the pharmacological challenge study, most population-derived V<sub>T</sub> values were comparable to V<sub>T</sub><sup>AIF</sup> at baseline and showed varied sensitivity to challenges at acute and post-recovery evaluation. DVR values did not detect relevant changes.<h4>Conclusions</h4>Population-based input functions scaled with a single blood sample might be a useful alternative to using AIF to compute [<sup>11</sup>C]PBR28 binding in healthy NHPs or animals with comparable metabolism and overall perform better than pseudo-reference regions approaches.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"34622422","pmcid":null,"openalex_id":"https://openalex.org/W3204073188","authors":[],"funders":[{"funder_name":"Fondation Brain Canada","grant_id":"F14-02712","title":null}],"total_grants":1,"fwci":0.2284,"citation_percentile":0.51451709,"influential_citations":0,"citation_trend":[{"year":2023,"count":1},{"year":2024,"count":1}],"oa_status":"closed","license":"https://www.springer.com/tdm","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1007/s11307-021-01661-6.pdf","host_type":"publisher"},{"url":"https://link.springer.com/article/10.1007/s11307-021-01661-6/fulltext.html","host_type":"publisher"},{"url":"https://doi.org/10.1007/s11307-021-01661-6","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/34622422","host_type":"repository"}],"fields_of_study":["Alzheimer's disease research and treatments","Neuroinflammation and Neurodegeneration Mechanisms","Drug Transport and Resistance Mechanisms","Animals","Arteries","Brain","Positron-Emission Tomography","Primates"],"mesh_terms":["Animals","Arteries","Brain","Primates","Positron-Emission Tomography"],"keywords":["Population","Nuclear medicine","Volume of distribution","Correlation","Distribution Volume","Medicine","Mathematics","Internal medicine","Pharmacokinetics","Cerebellum","LPS","White Matter","Non-human Primate","[11C]pbr28","Dvr","Plx","Input Function","Pbif"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Zero hunger"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T15:25:54.708094Z","pmid":null,"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":[]}