{"doi":"10.1002/nbm.4823","title":"Self‐gated, dynamic contrast‐enhanced magnetic resonance imaging with compressed‐sensing reconstruction for evaluating endothelial permeability in the aortic root of atherosclerotic mice","abstract":"High‐risk atherosclerotic plaques are characterized by active inflammation and abundant leaky microvessels. We present a self‐gated, dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) acquisition with compressed sensing reconstruction and apply it to assess longitudinal changes in endothelial permeability in the aortic root of Apoe −/− atherosclerotic mice during natural disease progression. Twenty‐four, 8‐week‐old, female Apoe −/− mice were divided into four groups (n = 6 each) and imaged with self‐gated DCE‐MRI at 4, 8, 12, and 16 weeks after high‐fat diet initiation, and then euthanized for CD68 immunohistochemistry for macrophages. Eight additional mice were kept on a high‐fat diet and imaged longitudinally at the same time points. Aortic‐root pseudo‐concentration curves were analyzed using a validated piecewise linear model. Contrast agent wash‐in and washout slopes ( b 1 and b 2 ) were measured as surrogates of aortic root endothelial permeability and compared with macrophage density by immunohistochemistry. b 2 , indicating contrast agent washout, was significantly higher in mice kept on an high‐fat diet for longer periods of time ( p = 0.03). Group comparison revealed significant differences between mice on a high‐fat diet for 4 versus 16 weeks ( p = 0.03). Macrophage density also significantly increased with diet duration ( p = 0.009). Spearman correlation between b 2 from DCE‐MRI and macrophage density indicated a weak relationship between the two parameters (r = 0.28, p = 0.20). Validated piecewise linear modeling of the DCE‐MRI data showed that the aortic root contrast agent washout rate is significantly different during disease progression. Further development of this technique from a single‐slice to a 3D acquisition may enable better investigation of the relationship between in vivo imaging of endothelial permeability and atherosclerotic plaques' genetic, molecular, and cellular makeup in this important model of disease.","journal":"NMR in Biomedicine","year":2022,"id":291334,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9528,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":974599,"name":"John David","orcid":"0000-0002-2981-6690","position":1,"is_corresponding":false},{"id":975096,"name":"Abdallah G. Motaal","orcid":null,"position":2,"is_corresponding":false},{"id":528773,"name":"Bram F. Coolen","orcid":"0000-0003-3946-653X","position":3,"is_corresponding":false},{"id":636571,"name":"Thijs J. Beldman","orcid":"0000-0003-4742-636X","position":4,"is_corresponding":false},{"id":974600,"name":"Alexandra F. Corbin","orcid":"0000-0002-1759-885X","position":5,"is_corresponding":false},{"id":974601,"name":"Arnav Kak","orcid":"0000-0002-0884-8909","position":6,"is_corresponding":false},{"id":974602,"name":"Sarayu Ramachandran","orcid":"0000-0002-9917-5876","position":7,"is_corresponding":false},{"id":408015,"name":"Alison Pruzan","orcid":null,"position":8,"is_corresponding":false},{"id":528774,"name":"Arthi Sridhar","orcid":"0000-0002-8139-3322","position":9,"is_corresponding":false},{"id":974603,"name":"Raphaël Soler","orcid":"0000-0003-4543-5684","position":10,"is_corresponding":false},{"id":343766,"name":"Christopher Faries","orcid":"0000-0003-3116-852X","position":11,"is_corresponding":false},{"id":106868,"name":"Zahi A. Fayad","orcid":"0000-0002-3439-7347","position":12,"is_corresponding":false},{"id":104385,"name":"Willem J. M. Mulder","orcid":"0000-0001-8665-3878","position":13,"is_corresponding":false},{"id":343770,"name":"Gustav J. Strijkers","orcid":"0000-0001-6700-5058","position":14,"is_corresponding":false},{"id":106855,"name":"Claudia Calcagno","orcid":"0000-0002-4325-8728","position":0,"is_corresponding":true}],"reference_count":40,"raw_metadata":null,"created_at":"2026-07-19T00:30:38.420009Z","pmid":"36031706","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":[]}