{"doi":"10.4244/eij-d-25-00266","title":"Lesion stratification with intracoronary imaging","abstract":null,"journal":"EuroIntervention","year":2026,"id":649502,"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":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1693194,"name":"Kalpa De Silva","orcid":null,"position":1,"is_corresponding":false},{"id":1693195,"name":"Thomas R. Keeble","orcid":null,"position":2,"is_corresponding":false},{"id":1693196,"name":"Thomas W. Johnson","orcid":null,"position":3,"is_corresponding":false},{"id":1020806,"name":"Peter O’Kane","orcid":"0000-0001-5245-4547","position":4,"is_corresponding":false},{"id":1693202,"name":"Ziad   A. Ali","orcid":null,"position":5,"is_corresponding":false},{"id":1693207,"name":"Shengxian Tu","orcid":null,"position":6,"is_corresponding":false},{"id":1693210,"name":"Sundeep Kalra","orcid":null,"position":7,"is_corresponding":false},{"id":1022996,"name":"Divaka Perera","orcid":"0000-0001-6362-1291","position":8,"is_corresponding":false},{"id":1185930,"name":"Philip MacCarthy","orcid":"0000-0002-5963-0109","position":9,"is_corresponding":false},{"id":1693213,"name":"Jonathan M. Hill","orcid":null,"position":10,"is_corresponding":false},{"id":552835,"name":"Jonathan Byrne","orcid":"0009-0003-2386-1743","position":11,"is_corresponding":false},{"id":1693215,"name":"Rafal Dworakowski","orcid":null,"position":12,"is_corresponding":false},{"id":552833,"name":"Nilesh Pareek","orcid":"0000-0002-2720-2134","position":13,"is_corresponding":false},{"id":1693193,"name":"Michael McGarvey","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Lesion stratification with intracoronary imaging","abstract":"Intracoronary (IC) imaging-guided percutaneous coronary intervention (PCI) improves clinical outcomes in patients with high clinical and anatomical risk when compared to interventions guided by angiography alone. Recent Class I recommendations for the use of IC imaging guidance when performing PCI in left main stem or complex lesions may result in a significant uptake as the technology is embraced as standard of care. Routine application of IC imaging will provide interventional cardiologists with a wealth of high-fidelity intracoronary data on plaque composition and distribution. When paired with emerging data regarding the importance of plaque anatomical characteristics, developments in artificial intelligence and computational fluid dynamics, lesion stratification with IC imaging may herald the next paradigm shift in this field. In this review, we will explore this important emerging application of IC imaging to inform morphology-guided PCI, identify high-risk lesions for targeted therapies, and consider the prospects of harnessing automated image interpretation with artificial intelligence technologies to achieve an integrated physiological and morphological assessment. Lesion stratification with IC imaging has the potential to shape the future of interventional cardiology practice to guide therapies within and beyond the confines of the cardiac catheterisation laboratory.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41549684","pmcid":null,"openalex_id":"https://openalex.org/W7123127319","authors":[],"funders":[],"total_grants":0,"fwci":19.6033,"citation_percentile":0.98498588,"influential_citations":0,"citation_trend":[{"year":2026,"count":2}],"oa_status":"green","license":null,"oa_locations":[{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12794935/","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12794935/","host_type":"repository"},{"url":"https://doi.org/10.4244/eij-d-25-00266","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41549684","host_type":"repository"},{"url":"https://research-information.bris.ac.uk/en/publications/397709dc-afb5-4202-80f1-9e4772e76b66","host_type":"repository"}],"fields_of_study":["Coronary Interventions and Diagnostics","Cardiac Imaging and Diagnostics","Cerebrovascular and Carotid Artery Diseases","Humans","Percutaneous Coronary Intervention","Coronary Angiography","Coronary Artery Disease","Coronary Vessels","Plaque, Atherosclerotic","Artificial Intelligence"],"mesh_terms":["Artificial Intelligence","Coronary Artery Disease","Coronary Vessels","Humans","Coronary Angiography","Plaque, Atherosclerotic","Percutaneous Coronary Intervention"],"keywords":["Conventional PCI","Percutaneous coronary intervention","Risk stratification","Lesion","Cardiac imaging","Percutaneous","Imaging technology","Interventional cardiology","Cardiac catheterization"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T03:50:11.704316Z","pmid":null,"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":[]}