{"doi":"10.1007/s10554-025-03553-0","title":"18Fluorine-sodium fluoride positron emission tomography to evaluate arterial calcification in patients with chronic kidney disease: a pilot study","abstract":"Abstract 18 Fluorine-Sodium Fluoride Positron Emission Tomography ( 18 F-NaF PET) allows for the detection of arterial micro-calcification, but its data on people with chronic kidney disease (CKD) is limited. This pilot study aimed to determine the optimal time to perform 18 F-NaF PET static scan and to characterize arterial macro- and micro-calcification in CKD. In 7 patients with CKD stages 3b-4 and 3 non-CKD individuals, following the injection of 18 F-NaF, an electrocardiogram-gated chest CT, a 30-min dynamic PET, and three 10-min static PET were acquired. Radiopharmaceutical uptake was quantified for regions including the lumbar spine and 4 aortic segments. Arterial macro-calcification was quantified using Agatston scoring and micro-calcification using tissue-to-background ratio (TBR; reference: right atrium). The standardized uptake value (SUV) in lumbar spine reached a steady state ~ 60 min after injection and was comparable at each time point between CKD and non-CKD (p: 0.58–0.92). Among CKD participants, 6 had macro-calcification in coronary arteries. Abdominal aorta had the greatest macro-calcification, and ascending aorta had the lowest TBR peak . In the ascending aorta, macro-calcification negatively correlated with TBR peak (rho = − 0.86, p = 0.01). In descending thoracic aorta, TBR peak negatively correlated with serum calcium (rho = − 0.81, p = 0.03), and positively correlated with parathyroid hormone (rho = 0.93, p = 0.003) and thrombomodulin (rho = 0.79, p = 0.04). The optimal time for 18 F-NaF PET static scan is ~ 60 min for people with and without CKD. Evaluation of macro- and micro-calcification in aorta revealed preliminary spatial patterns and their associated serum markers. Our findings help to establish technical specifications for image acquisition and analyses of 18 F-NaF PET/CT in CKD.","journal":"The International Journal of Cardiovascular Imaging","year":2025,"id":542574,"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":0.9631,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1432129,"name":"Rylen Stratford","orcid":null,"position":1,"is_corresponding":false},{"id":434288,"name":"Wenzhu Mowrey","orcid":"0000-0002-7407-7014","position":2,"is_corresponding":false},{"id":1431601,"name":"Na Song","orcid":"0000-0003-4842-4753","position":3,"is_corresponding":false},{"id":316411,"name":"Kexin Zhang","orcid":"0000-0002-9224-9465","position":4,"is_corresponding":false},{"id":1432130,"name":"Sara Saini","orcid":null,"position":5,"is_corresponding":false},{"id":1432131,"name":"Mario T. Di Dea","orcid":null,"position":6,"is_corresponding":false},{"id":1432132,"name":"Gabriel K. Duah","orcid":null,"position":7,"is_corresponding":false},{"id":1431602,"name":"Zahra Karimi","orcid":"0000-0002-6544-3764","position":8,"is_corresponding":false},{"id":402347,"name":"Nicholas Sibinga","orcid":"0000-0003-4838-910X","position":9,"is_corresponding":false},{"id":1432133,"name":"Yonatan Schwartz","orcid":null,"position":10,"is_corresponding":false},{"id":556300,"name":"Jeffrey M. Levsky","orcid":"0000-0002-9944-2524","position":11,"is_corresponding":false},{"id":246999,"name":"Marc R. Dweck","orcid":"0000-0001-9847-5917","position":12,"is_corresponding":false},{"id":1431603,"name":"Renée M. Moadel","orcid":"0000-0002-0499-8715","position":13,"is_corresponding":false},{"id":1431604,"name":"Lionel S. Zuckier","orcid":"0000-0002-7212-0437","position":14,"is_corresponding":false},{"id":777811,"name":"Mark I. Travin","orcid":null,"position":15,"is_corresponding":false},{"id":452894,"name":"Wei Chen","orcid":"0000-0003-1364-6102","position":16,"is_corresponding":false},{"id":1432128,"name":"Aspan M. Shokrekhuda","orcid":null,"position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:52:55.809501Z","pmid":"41233702","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":[]}