{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T07:08:52Z","timestamp":1790060932461,"version":"4.0.1"},"reference-count":28,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T00:00:00Z","timestamp":1789084800000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.82170332"],"award-info":[{"award-number":["No.82170332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MedComm"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      Optical coherence tomography\u2013derived fractional flow reserve (OCT\u2010FFR) offers a combined assessment of anatomical and physiological lesions. However, its diagnostic accuracy needs improvement. In this prospective, multicenter, single\u2010arm study, 210 patients across four centers with indications for percutaneous coronary intervention underwent simultaneous FFR and OCT\u2010FFR assessments. OCT\u2010FFR was computed using a novel multitask learning algorithm that integrated lumen segmentation and bifurcation detection, enabling fluid dynamics\u2010based modeling of pressure gradients across coronary lesions. The primary outcome was the diagnostic accuracy of OCT\u2010FFR. The per\u2010protocol analysis included 200 lesions in 200 patients. The mean stenosis diameter was 67.43\u00a0\u00b1\u00a09.01%, and mean FFR was 0.85\u00a0\u00b1\u00a00.08. Using FFR\u00a0\u2264\u00a00.80 as the reference, OCT\u2010FFR showed an accuracy of 98.0%, sensitivity of 93.6%, specificity of 99.3%, and positive predictive value of 97.8%. It showed strong correlation (\n                      <jats:italic>r<\/jats:italic>\n                      \u00a0=\u00a00.95,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.001) and agreement (mean difference: \u22120.001\u00a0\u00b1\u00a00.026) with FFR. Furthermore, it demonstrated superior diagnostic accuracy compared with previous methods without patient\u2010specific blood pressure (98.0% vs. 90.0%) or minimal lumen area optimization (98.0% vs. 93.0%) (both\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.01). The new algorithm exhibits excellent diagnostic performance and strong concordance with invasive FFR, potentially optimizing revascularization strategies. However, larger prospective cohorts are needed to validate these findings and confirm generalizability.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial Registration<\/jats:title>\n                    <jats:p>ChiCTR2500098052.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mco2.71015","type":"journal-article","created":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T06:52:22Z","timestamp":1789195942000},"source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic Performance of a Novel Optical Coherence Tomography\u2013Derived Fractional Flow Reserve: A Prospective Multicenter Study"],"prefix":"10.1002","volume":"7","author":[{"given":"Junyan","family":"Jin","sequence":"first","affiliation":[{"name":"Department of Cardiology, The Second Affiliated Hospital, School of Medicine Zhejiang University  Hangzhou China"},{"name":"State Key Laboratory of Transvascular Implantation Devices  Hangzhou China"},{"name":"Heart Regeneration and Repair Key Laboratory of Zhejiang Province  Hangzhou China"},{"name":"Transvascular Implantation Devices Research Institute  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Delong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Cardiology, The Second Affiliated Hospital, School of Medicine Zhejiang University  Hangzhou China"},{"name":"State Key Laboratory of Transvascular Implantation Devices  Hangzhou China"},{"name":"Heart Regeneration and Repair Key Laboratory of Zhejiang Province  Hangzhou China"},{"name":"Transvascular Implantation Devices Research Institute  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuebo","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Cardiology Tongji Hospital Affiliated to Tongji University  Shanghai 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of Cardiology, The Second Affiliated Hospital, School of Medicine Zhejiang University  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyue","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Cardiology, The Second Affiliated Hospital, School of Medicine Zhejiang University  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyue","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Cardiology, The Second Affiliated Hospital, School of Medicine Zhejiang University  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibo","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Cardiology, The Second Affiliated Hospital, School of Medicine Zhejiang University  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of 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