| Autor: |
Dirk Lossnitzer, Selina Klenantz, Florian Andre, Johannes Goerich, U. Joseph Schoepf, Kyle L. Pazzo, Andre Sommer, Matthias Brado, Friedemann Gückel, Roman Sokiranski, Tobias Becher, Ibrahim Akin, Sebastian J. Buss, Stefan Baumann |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Cardiovascular Disorders, Vol 22, Iss 1, Pp 1-10 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2261 |
| DOI: |
10.1186/s12872-022-02467-2 |
| Popis: |
Abstract Background Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFRML) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-FFRML compared to stress perfusion cardiovascular magnetic resonance (CMR) and tested if there is an additional value of CT-FFRML over coronary computed tomography angiography (cCTA). Methods Our retrospective analysis included 269 vessels in 141 patients (mean age 67 ± 9 years, 78% males) who underwent clinically indicated cCTA and subsequent stress perfusion CMR within a period of 2 months. CT-FFRML values were calculated from standard cCTA. Results CT-FFRML revealed no hemodynamic significance in 79% of the patients having ≥ 50% stenosis in cCTA. Chi2 values for the statistical relationship between CT-FFRML and stress perfusion CMR was significant (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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