{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T17:21:35Z","timestamp":1792516895218,"version":"4.5.0"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2023,5,9]],"date-time":"2023-05-09T00:00:00Z","timestamp":1683590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Aims<\/jats:title>\n                  <jats:p>To determine whether fully automated artificial intelligence-based global circumferential strain (GCS) assessed during vasodilator stress cardiovascular (CV) magnetic resonance (CMR) can provide incremental prognostic value.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and results<\/jats:title>\n                  <jats:p>Between 2016 and 2018, a longitudinal study included all consecutive patients with abnormal stress CMR defined by the presence of inducible ischaemia and\/or late gadolinium enhancement. Control subjects with normal stress CMR were selected using a propensity score-matching. Stress-GCS was assessed using a fully automatic machine-learning algorithm based on featured-tracking imaging from short-axis cine images. The primary outcome was the occurrence of major adverse clinical events (MACE) defined as CV mortality or nonfatal myocardial infarction. Cox regressions evaluated the association between stress-GCS and the primary outcome after adjustment for traditional prognosticators. In 2152 patients [66 \u00b1 12 years, 77% men, 1:1 matched patients (1076 with normal and 1076 with abnormal CMR)], stress-GCS was associated with MACE [median follow-up 5.2 (4.8\u20135.5) years] after adjustment for risk factors in the propensity-matched population [adjusted hazard ratio (HR), 1.12 (95% CI, 1.06\u20131.18)], and patients with normal CMR [adjusted HR, 1.35 (95% CI, 1.19\u20131.53), both P &amp;lt; 0.001], but not in patients with abnormal CMR (P = 0.058). In patients with normal CMR, an increased stress-GCS showed the best improvement in model discrimination and reclassification above traditional and stress CMR findings (C-statistic improvement: 0.14; NRI = 0.430; IDI = 0.089, all P &amp;lt; 0.001; LR-test P &amp;lt; 0.001).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Stress-GCS is not a predictor of MACE in patients with ischaemia, but has an incremental prognostic value in those with a normal CMR although the absolute event rate remains low.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ehjci\/jead100","type":"journal-article","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T02:56:45Z","timestamp":1683773805000},"page":"1269-1279","source":"Crossref","is-referenced-by-count":18,"title":["Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR"],"prefix":"10.1093","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6716-8444","authenticated-orcid":false,"given":"Th\u00e9o","family":"Pezel","sequence":"first","affiliation":[{"name":"Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, H\u00f4pital Priv\u00e9 Jacques CARTIER, Ramsay Sant\u00e9 , 6 Avenue du Noyer Lambert, 91300, Massy , France"},{"name":"Universit\u00e9 de Paris Cit\u00e9, Department of Cardiology, H\u00f4pital Lariboisi\u00e8re\u2014APHP , Inserm UMRS 942 , France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe","family":"Garot","sequence":"additional","affiliation":[{"name":"Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, H\u00f4pital Priv\u00e9 Jacques CARTIER, Ramsay Sant\u00e9 , 6 Avenue du Noyer Lambert, 91300, Massy , France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Solenn","family":"Toupin","sequence":"additional","affiliation":[{"name":"Siemens Healthcare France, Scientific partnerships , 93200 Saint-Denis , France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Hovasse","sequence":"additional","affiliation":[{"name":"Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, H\u00f4pital Priv\u00e9 Jacques CARTIER, Ramsay Sant\u00e9 , 6 Avenue du Noyer Lambert, 91300, Massy , France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Sanguineti","sequence":"additional","affiliation":[{"name":"Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, H\u00f4pital Priv\u00e9 Jacques CARTIER, Ramsay Sant\u00e9 , 6 Avenue du Noyer Lambert, 91300, Massy , 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