{ "abstract": "Aims\n\nIdentifying the infarct-related artery (IRA) before coronary angiography in non-ST-segment elevation myocardial infarction (NSTEMI) is difficult because current approaches have limited sensitivity. We evaluated whether a non-invasive 90-s optically pumped magnetometer magnetocardiography (OPM-MCG) recording can estimate pre-angiography IRA probabilities in these patients and provide information beyond standard-care variables.Methods and results\n\nThis prospective two-campus study within one hospital system included a Campus 1 development cohort (n = 493) and a geographically separate Campus 2 test cohort (n = 118). All patients underwent OPM-MCG before angiography. An XGBoost model using 65 prespecified OPM-MCG features was developed with nested cross-validation, locked, and evaluated once in Campus 2. IRA adjudication followed a core-laboratory hierarchy. Discrimination, calibration, and clinical utility were compared with ECG and TTE. Among 611 patients, 43% had LAD, 23% LCx, and 34% RCA IRA. In Campus 2, overall accuracy was 63.6%, macro-F1 was 60.0%; LAD/LCx/RCA vessel-specific areas under the receiver operating characteristic curve were 0.87/0.79/0.79 and top-1 sensitivity was 76.6%/34.5%/69.0%. Accuracy was 51.7% for matched ECG-only XGBoost and 55.9% for integrated standard care. In an exploratory stacked analysis, adding locked OPM-MCG probabilities to standard care increased accuracy to 67.8% (paired difference 11.9%, 95% CI 4.2-19.5; P = 0.008).Conclusion\n\nIn haemodynamically stable patients with NSTEMI already selected for invasive management, a locked OPM-MCG model provided informative vessel-level probabilities in Campus 2 and complementary signal with standard care. Performance was strongest for LAD and RCA. Prospective multicentre, cross-platform testing is needed before clinical use.Trial registration number\n\nChiCTR2300070211.", "abstract_shown": true, "affiliations": [ "Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China.", "Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.", "Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.", "Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.", "Beijing X-MAGTECH Technology Co., Ltd, Beijing 100096, China.", "School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China.", "Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong'an Road, Xicheng District, Beijing 100050, China." ], "article_type": "research article", "arxiv": null, "author_total": 10, "authors": [ { "affs": [ 0, 1 ], "name": "Linqi Liu", "orcid": "0009-0006-6525-1531" }, { "affs": [ 2, 3 ], "name": "Yilin Pan" }, { "affs": [ 4 ], "name": "Jie Ji", "orcid": "0000-0001-8016-968X" }, { "affs": [ 0 ], "name": "Hai Gao" }, { "affs": [ 0 ], "name": "Yanlong Ren" }, { "affs": [ 0 ], "name": "Min Zhang", "orcid": "0000-0001-6201-3585" }, { "affs": [ 0 ], "name": "Mingduo Zhang", "orcid": "0000-0003-0111-4088" }, { "affs": [ 5 ], "name": "Ming Ding" }, { "affs": [ 0 ], "name": "Chenchen Tu" }, { "affs": [ 0, 6 ], "name": "Xiantao Song", "orcid": "0000-0003-0980-7014" } ], "bibtex": "https://research.draconitic.com/paper/a4jghzkakttkv.bib", "cited_by": 0, "doi": "10.1093/ehjdh/ztag161", "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13718593/?tool=EBI", "id": "a4jghzkakttkv", "issns": [ "2634-3916" ], "landing_url": "https://europepmc.org/article/PMC/PMC13718593", "language": "eng", "licence": "CC-BY-NC", "licence_label": "CC BY-NC", "licence_source": "article", "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/", "metadata_licence": null, "native_subjects": [ [ "heading", "AcademicSubjects/MED00200" ], [ "heading", "Eurheartj/15" ], [ "heading", "Eurheartj/17" ], [ "heading", "Eurheartj/31" ], [ "heading", "Eurheartj/38" ], [ "heading", "Original Article" ], [ "openalex", "2705|Acute Myocardial Infarction Research" ] ], "openalex": "W7221367592", "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13718593/pdf/?tool=EBI", "pmcid": "PMC13718593", "pmid": "42960211", "published": "2026-10-10", "publisher": "Oxford University Press", "ris": "https://research.draconitic.com/paper/a4jghzkakttkv.ris", "sources": [ { "first_seen": "2026-10-31T00:20:38Z", "native_id": "PMC:PMC13718593", "source": "europepmc", "url": "https://europepmc.org/article/PMC/PMC13718593" }, { "first_seen": "2026-11-01T00:20:52Z", "native_id": "MED:42960211", "source": "europepmc", "url": "https://europepmc.org/article/MED/42960211" }, { "first_seen": "2026-11-02T12:22:35Z", "native_id": "PMC13718593", "source": "pmc", "url": "https://doi.org/10.1093/ehjdh/ztag161" } ], "subjects": [ { "field": "medicine", "origin": "openalex:2705|Acute Myocardial Infarction Research", "subfield": "cardiovascular" } ], "title": "AI-enabled OPM-magnetocardiography for pre-angiography infarct-related artery probability estimation in NSTEMI: a two-campus prospective cohort study", "title_text": "AI-enabled OPM-magnetocardiography for pre-angiography infarct-related artery probability estimation in NSTEMI: a two-campus prospective cohort study", "type": "peer-reviewed", "updated_at": "2026-11-02T12:22:35Z", "url": "https://research.draconitic.com/paper/a4jghzkakttkv", "venue": "European heart journal. Digital health", "versions": [] }