{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T06:52:57Z","timestamp":1791355977225,"version":"4.3.1"},"reference-count":15,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"19","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,10,6]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Artificial intelligence (AI) allows automated evaluation of intracoronary optical coherence tomography (OCT) images. However, algorithms are mostly developed and validated on well\u2010curated data sets, which may not represent real\u2010world data. We sought to externally validate a previously developed algorithm performing full\u2010vessel segmentation for OCT in an unselected consecutive real\u2010world data set.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">This was a retrospective, single\u2010center, external validation study comprising 100 consecutive patients undergoing clinically indicated OCT. A previously developed AI algorithm (OCT\u2010AID) was used for automated pixelwise labeling of OCT images, distinguishing among lumen, guidewire artifact, intima, media, lipid plaque, calcium plaque, side branch, plaque rupture, thrombus, microvessel, and background. The AI\u2010based predictions were compared on a frame level to the reference standard obtained through manual OCT image analysis by expert readers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">Among 2560 analyzable frames, the agreement between the automated OCT image analysis and the reference standard was excellent for calcified plaque identification (\u03ba=0.88 [95% CI, 0.84\u20130.92]) and quantification (intraclass correlation coefficient values ranged between 0.79 and 0.93), with a performance close to interobserver variability. For lipid plaque identification and quantification, the model performance was reasonable (\u03ba=0.68 [95% CI, 0.64\u20130.72]; intraclass correlation coefficient for lipid arc, 0.79 [95% CI, 0.76\u20130.81]; intraclass correlation coefficient for minimum fibrous cap thickness, 0.59 [95% CI, 0.55\u20130.63]) and largely superior to interobserver variability. The algorithm performance for low\u2010prevalence features (e.g., plaque rupture) was limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">AI\u2010based fully automated evaluation of OCT images is feasible with performances consistent with interobserver variability in a real\u2010world data set of consecutive patients, supporting generalizability of the proposed methodology.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.049353","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T13:35:27Z","timestamp":1789738527000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Real\u2010World External Validation of Artificial Intelligence\u2010Based Full\u2010Vessel Segmentation for Intracoronary Optical Coherence Tomography"],"prefix":"10.1161","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7471-1006","authenticated-orcid":false,"given":"Rick H.J.A.","family":"Volleberg","sequence":"first","affiliation":[{"name":"St. Francis Hospital & Heart Center","place":["Roslyn, USA"]},{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4960-5732","authenticated-orcid":false,"given":"Doosup","family":"Shin","sequence":"additional","affiliation":[{"name":"St. Francis Hospital & Heart Center","place":["Roslyn, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8462-1216","authenticated-orcid":false,"given":"Ruben G.A.","family":"van der Waerden","sequence":"additional","affiliation":[{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]},{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6926-0244","authenticated-orcid":false,"given":"Craig R.","family":"Porter","sequence":"additional","affiliation":[{"name":"St. Francis Hospital & Heart Center","place":["Roslyn, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1948-9462","authenticated-orcid":false,"given":"Susan V.","family":"Thomas","sequence":"additional","affiliation":[{"name":"St. Francis Hospital & Heart Center","place":["Roslyn, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando","family":"Sosa","sequence":"additional","affiliation":[{"name":"St. Francis Hospital & Heart Center","place":["Roslyn, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3974-5945","authenticated-orcid":false,"given":"Simone","family":"Saitta","sequence":"additional","affiliation":[{"name":"Amsterdam University Medical Center","place":["Amsterdam, the Netherlands"]},{"name":"University of Amsterdam","place":["Amsterdam, the Netherlands"]},{"name":"Amsterdam University Medical Center","place":["Amsterdam, the Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4024-8775","authenticated-orcid":false,"given":"Aysun","family":"Cetinyurek\u2010Yavuz","sequence":"additional","affiliation":[{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4998-6363","authenticated-orcid":false,"given":"Joske","family":"van der Zande","sequence":"additional","affiliation":[{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]},{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7706-5000","authenticated-orcid":false,"given":"Thijs","family":"Luttikholt","sequence":"additional","affiliation":[{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]},{"name":"Radboud University Medical Center","place":["Nijmegen, the Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierandrea","family":"Cancian","sequence":"additional","affiliation":[{"name":"Amsterdam University Medical Center","place":["Amsterdam, the Netherlands"]},{"name":"University of Amsterdam","place":["Amsterdam, the Netherlands"]},{"name":"Amsterdam University Medical Center","place":["Amsterdam, the 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Springer Nature Switzerland; 2024:488\u2013498."},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehaf595"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehaf189"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcin.2022.08.040"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcin.2025.07.021"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.11.054"}],"container-title":["Journal of the American Heart Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/JAHA.125.049353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T06:25:10Z","timestamp":1791354310000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/JAHA.125.049353"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,6]]},"references-count":15,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2026,10,6]]}},"alternative-id":["10.1161\/JAHA.125.049353"],"URL":"https:\/\/doi.org\/10.1161\/jaha.125.049353","relation":{},"ISSN":["2047-9980"],"issn-type":[{"value":"2047-9980","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,6]]},"assertion":[{"value":"2026-01-14","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-06-11","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e049353"}}