{"doi":"10.1016/j.xjon.2023.07.024","title":"Delayed-enhancement cardiac magnetic resonance imaging detects disease progression in patients with mitral valve disease and atrial fibrillation","abstract":"Objectives The mechanism by which mitral valve (MV) disease leads to atrial fibrillation (AF) remains poorly understood. Delayed-enhancement cardiac magnetic resonance imaging (DE-MRI) has been used to assess left atrial (LA) fibrosis in patients with lone AF before catheter ablation; however, few studies have used DE-MRI to assess MV-induced LA fibrosis in patients with or without AF undergoing MV surgery. Methods Between March 2018 and September 2022, 38 subjects were enrolled; 15 age-matched controls, 14 patients with lone mitral regurgitation (MR), and 9 patients with MR and AF (MR + AF). Indexed LA volume, total LA wall, and regional LA posterior wall (LAPW) enhancement were defined by the DE-MRI. One-way analysis of variance was performed. Results LA volume and LA enhancement were associated (r = 0.451, P = .004). LA volume differed significantly between controls (37.1 ± 10.6 mL) and patients with lone MR (71.0 ± 35.9, P = .020 and controls and patients with MR + AF (99.3 ± 47.4, P < .001). The difference in LA enhancement was significant between MR + AF (16.7 ± 9.6%) versus controls (8.3 ± 3.9%, P = .006) and MR + AF versus lone MR (8.0 ± 4.8%, P = .004). Similarly, the was significantly more LAPW enhancement in the MR + AF (17.5 ± 8.7%) versus control (9.2 ± 5.1%, P = .011) and MR + AF versus lone MR (9.8 ± 6.0%, P = .020) Conclusions Patients with MR + AF had significantly more total and LAPW fibrosis compared with both controls and lone MR. Volume and delayed enhancement were associated, but there was no difference between MR and MR + AF.","journal":"JTCVS Open","year":2023,"id":379783,"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":0.9597,"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":946687,"name":"Ramya Vijayakumar","orcid":null,"position":1,"is_corresponding":false},{"id":715637,"name":"Martha M.O. McGilvray","orcid":"0000-0003-0964-9474","position":2,"is_corresponding":false},{"id":278778,"name":"Ali J. Khiabani","orcid":"0000-0002-7814-1466","position":3,"is_corresponding":false},{"id":1124101,"name":"Nicholas Razo","orcid":null,"position":4,"is_corresponding":false},{"id":280210,"name":"Laurie A. Sinn","orcid":null,"position":5,"is_corresponding":false},{"id":789937,"name":"Matthew R. Schill","orcid":"0000-0003-2131-9523","position":6,"is_corresponding":false},{"id":277942,"name":"Nassir F. Marrouche","orcid":"0000-0003-0454-0541","position":7,"is_corresponding":false},{"id":715639,"name":"Christian W. Zemlin","orcid":"0000-0001-5834-5544","position":8,"is_corresponding":false},{"id":278782,"name":"Ralph J. Damiano","orcid":"0000-0002-6361-6107","position":9,"is_corresponding":false},{"id":880207,"name":"Tari-Ann Yates","orcid":null,"position":0,"is_corresponding":true}],"reference_count":37,"raw_metadata":null,"created_at":"2026-07-19T01:16:56.650289Z","pmid":"38204711","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":[]}