Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion

dc.contributor.authorBär Sarah
dc.contributor.authorMaaniitty Teemu
dc.contributor.authorNabeta Takeru
dc.contributor.authorBax Jeroen J.
dc.contributor.authorEarls James P.
dc.contributor.authorMin James K.
dc.contributor.authorSaraste Antti
dc.contributor.authorKnuuti Juhani
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organizationfi=PET-keskus|en=Turku PET Centre|
dc.contributor.organizationfi=sisätautioppi|en=Internal Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.14646305228
dc.contributor.organization-code1.2.246.10.2458963.20.40502528769
dc.contributor.organization-code1.2.246.10.2458963.20.68445910604
dc.converis.publication-id393351580
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/393351580
dc.date.accessioned2025-08-27T21:32:31Z
dc.date.available2025-08-27T21:32:31Z
dc.description.abstract<p><strong>Background: </strong>Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemia. A novel artificial-intelligence-guided quantitative computed tomography ischemia algorithm (AI-QCT<sub>ischemia</sub>) aims to predict ischemia directly from coronary CTA images. We aimed to study the prognostic value of AI-QCT<sub>ischemia</sub> among patients with obstructive CAD on coronary CTA and normal or abnormal downstream PET perfusion.</p><p><strong>Methods: </strong>AI-QCT<sub>ischemia</sub> was calculated by blinded analysts among patients from the retrospective coronary CTA cohort at Turku University Hospital, Finland, with obstructive CAD on initial visual reading (diameter stenosis ≥50%) being referred for downstream <sup>15</sup>O-H<sub>2</sub>O-PET adenosine stress perfusion imaging. All coronary arteries with their side branches were assessed by AI-QCT<sub>ischemia</sub>. Absolute stress myocardial blood flow ≤2.3 ​ml/g/min in ≥2 adjacent segments was considered abnormal. The primary endpoint was death, myocardial infarction, or unstable angina pectoris. The median follow-up was 6.2 [IQR 4.4-8.3] years.</p><p><strong>Results: </strong>662 of 768 (86%) patients had conclusive AI-QCT<sub>ischemia</sub> result. In patients with normal <sup>15</sup>O-H<sub>2</sub>O-PET perfusion, an abnormal AI-QCT<sub>ischemia</sub> result (n ​= ​147/331) vs. normal AI-QCT<sub>ischemia</sub> result (n ​= ​184/331) was associated with a significantly higher crude and adjusted rates of the primary endpoint (adjusted HR 2.47, 95% CI 1.17-5.21, p ​= ​0.018). This did not pertain to patients with abnormal <sup>15</sup>O-H<sub>2</sub>O-PET perfusion (abnormal AI-QCT<sub>ischemia</sub> result (n ​= ​269/331) vs. normal AI-QCT<sub>ischemia</sub> result (n ​= ​62/331); adjusted HR 1.09, 95% CI 0.58-2.02, p ​= ​0.794) (p-interaction ​= ​0.039).</p><p><strong>Conclusion: </strong>Among patients with obstructive CAD on coronary CTA referred for downstream <sup>15</sup>O-H<sub>2</sub>O-PET perfusion imaging, AI-QCT<sub>ischemia</sub> showed incremental prognostic value among patients with preserved perfusion by <sup>15</sup>O-H<sub>2</sub>O-PET imaging, but not among those with reduced perfusion</p>
dc.format.pagerange366
dc.format.pagerange374
dc.identifier.eissn1876-861X
dc.identifier.jour-issn1934-5925
dc.identifier.olddbid200585
dc.identifier.oldhandle10024/183612
dc.identifier.urihttps://www.utupub.fi/handle/11111/45658
dc.identifier.urlhttps://doi.org/10.1016/j.jcct.2024.04.001
dc.identifier.urnURN:NBN:fi-fe2025082785059
dc.language.isoen
dc.okm.affiliatedauthorBär, Sarah
dc.okm.affiliatedauthorMaaniitty, Teemu
dc.okm.affiliatedauthorSaraste, Antti
dc.okm.affiliatedauthorKnuuti, Juhani
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3121 Internal medicineen_GB
dc.okm.discipline3121 Sisätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1016/j.jcct.2024.04.001
dc.relation.ispartofjournalJournal of Cardiovascular Computed Tomography
dc.relation.issue4
dc.relation.volume18
dc.source.identifierhttps://www.utupub.fi/handle/10024/183612
dc.titlePrognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion
dc.year.issued2024

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