{"doi":"10.1093/ehjci/jeae045","title":"Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry","abstract":"AIMS: Vessel-specific coronary artery calcification (CAC) is additive to global CAC for prognostic assessment. We assessed accuracy and prognostic implications of vessel-specific automated deep learning (DL) CAC analysis on electrocardiogram (ECG) gated and attenuation correction (AC) computed tomography (CT) in a large multi-centre registry. METHODS AND RESULTS: Vessel-specific CAC was assessed in the left main/left anterior descending (LM/LAD), left circumflex (LCX), and right coronary artery (RCA) using a DL model trained on 3000 gated CT and tested on 2094 gated CT and 5969 non-gated AC CT. Vessel-specific agreement was assessed with linear weighted Cohen's Kappa for CAC zero, 1-100, 101-400, and >400 Agatston units (AU). Risk of major adverse cardiovascular events (MACE) was assessed during 2.4 ± 1.4 years follow-up, with hazard ratios (HR) and 95% confidence intervals (CI). There was strong to excellent agreement between DL and expert ground truth for CAC in LM/LAD, LCX and RCA on gated CT [0.90 (95% CI 0.89 to 0.92); 0.70 (0.68 to 0.73); 0.79 (0.77 to 0.81)] and AC CT [0.78 (0.77 to 0.80); 0.60 (0.58 to 0.62); 0.70 (0.68 to 0.71)]. MACE occurred in 242 (12%) undergoing gated CT and 841(14%) of undergoing AC CT. LM/LAD CAC >400 AU was associated with the highest risk of MACE on gated (HR 12.0, 95% CI 7.96, 18.0, P < 0.001) and AC CT (HR 4.21, 95% CI 3.48, 5.08, P < 0.001). CONCLUSION: Vessel-specific CAC assessment with DL can be performed accurately and rapidly on gated CT and AC CT and provides important prognostic information.","journal":"European Heart Journal - Cardiovascular Imaging","year":2024,"id":423223,"datarank":0.4887144807032224,"base_score":3.258096538021482,"endowment":3.258096538021482,"self_citation_contribution":0.4887144807032224,"citation_network_contribution":0.0,"self_endowment_contribution":0.4887144807032224,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":25,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.92,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1057735,"name":"Aakash Shanbhag","orcid":null,"position":1,"is_corresponding":false},{"id":1218317,"name":"Jianhang Zhou","orcid":"0000-0002-2423-2311","position":2,"is_corresponding":false},{"id":1209388,"name":"Anna M. Michałowska","orcid":null,"position":3,"is_corresponding":false},{"id":1084549,"name":"Mark Lemley","orcid":"0000-0002-1531-880X","position":4,"is_corresponding":false},{"id":316500,"name":"Robert J.H. Miller","orcid":"0000-0003-4676-2433","position":5,"is_corresponding":false},{"id":979232,"name":"Aditya Killekar","orcid":"0000-0003-3831-5676","position":6,"is_corresponding":false},{"id":1218318,"name":"Parker Waechter","orcid":"0009-0007-8829-1402","position":7,"is_corresponding":false},{"id":253727,"name":"Heidi Gransar","orcid":"0000-0003-4704-8290","position":8,"is_corresponding":false},{"id":882191,"name":"Serge D. Van Kriekinge","orcid":"0000-0003-4947-9158","position":9,"is_corresponding":false},{"id":1210301,"name":"Valerie Builoff","orcid":null,"position":10,"is_corresponding":false},{"id":727174,"name":"Attila Fehér","orcid":"0000-0002-2561-4282","position":11,"is_corresponding":false},{"id":316505,"name":"Edward J. Miller","orcid":"0000-0002-2156-5962","position":12,"is_corresponding":false},{"id":316506,"name":"Timothy M. Bateman","orcid":"0009-0007-7959-6159","position":13,"is_corresponding":false},{"id":259171,"name":"Damini Dey","orcid":"0000-0003-2236-6970","position":14,"is_corresponding":false},{"id":253731,"name":"Daniel S. Berman","orcid":"0000-0002-3793-9578","position":15,"is_corresponding":false},{"id":259173,"name":"Piotr J. Slomka","orcid":"0000-0002-6110-938X","position":16,"is_corresponding":false},{"id":235799,"name":"Michelle C. Williams","orcid":"0000-0003-3556-2428","position":0,"is_corresponding":true}],"reference_count":31,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:57:56.814994Z","pmid":"38376471","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":[]}