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| Verfasst von: | Baumann, Stefan [VerfasserIn]  |
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| | Hirt, Markus [VerfasserIn] |
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| | Rott, Christina [VerfasserIn] |
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| | Özdemir, Gökce Havva [VerfasserIn] |
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| | Tesche, Christian [VerfasserIn] |
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| | Becher, Tobias [VerfasserIn] |
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| | Weiß, Christel [VerfasserIn] |
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| | Hetjens, Svetlana [VerfasserIn] |
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| | Akın, Ibrahim [VerfasserIn] |
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| | Schönberg, Stefan [VerfasserIn] |
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| | Borggrefe, Martin [VerfasserIn] |
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| | Janssen, Sonja [VerfasserIn] |
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| | Overhoff, Daniel [VerfasserIn] |
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| | Loßnitzer, Dirk [VerfasserIn] |
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| Titel: | Comparison of machine learning computed tomography-based fractional flow reserve and coronary CT angiography-derived plaque characteristics with invasive resting full-cycle ratio |
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| Verf.angabe: | Stefan Baumann, Markus Hirt, Christina Rott, Gökce H. Özdemir, Christian Tesche, Tobias Becher, Christel Weiss, Svetlana Hetjens, Ibrahim Akin, Stefan O. Schoenberg, Martin Borggrefe, Sonja Janssen and Daniel Overhoff, Dirk Lossnitzer |
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| E-Jahr: | 2020 |
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| Jahr: | 6 March 2020 |
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| Umfang: | 12 S. |
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| Fussnoten: | Gesehen am 26.11.2020 |
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| Titel Quelle: | Enthalten in: Journal of Clinical Medicine |
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| Ort Quelle: | Basel : MDPI, 2012 |
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| Jahr Quelle: | 2020 |
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| Band/Heft Quelle: | 9(2020,3) Artikel-Nummer 714, 12 Seiten |
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| ISSN Quelle: | 2077-0383 |
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| Abstract: | Background: The aim is to compare the machine learning-based coronary-computed tomography fractional flow reserve (CT-FFRML) and coronary-computed tomographic morphological plaque characteristics with the resting full-cycle ratio (RFRTM) as a novel invasive resting pressure-wire index for detecting hemodynamically significant coronary artery stenosis. Methods: In our single center study, patients with coronary artery disease (CAD) who had a clinically indicated coronary computed tomography angiography (cCTA) and subsequent invasive coronary angiography (ICA) with pressure wire-measurement were included. On-site prototype CT-FFRML software and on-site CT-plaque software were used to calculate the hemodynamic relevance of coronary stenosis. Results: We enrolled 33 patients (70% male, mean age 68 ± 12 years). On a per-lesion basis, the area under the receiver operating characteristic curve (AUC) of CT-FFRML (0.90) was higher than the AUCs of the morphological plaque characteristics length/minimal luminal diameter4 (LL/MLD4; 0.80), minimal luminal diameter (MLD; 0.77), remodeling index (RI; 0.76), degree of luminal diameter stenosis (0.75), and minimal luminal area (MLA; 0.75). Conclusion: CT-FFRML and morphological plaque characteristics show a significant correlation to detected hemodynamically significant coronary stenosis. Whole CT-FFRML had the best discriminatory power, using RFRTM as the reference standard. |
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| DOI: | doi:10.3390/jcm9030714 |
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| URL: | kostenfrei: Volltext: https://doi.org/10.3390/jcm9030714 |
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| | kostenfrei: Volltext: https://www.mdpi.com/2077-0383/9/3/714 |
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| | DOI: https://doi.org/10.3390/jcm9030714 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | atherosclerosis |
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| | coronary artery disease |
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| | coronary CT angiography |
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| | coronary physiology |
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| | fractional flow reserve derived from coronary computed tomography angiography |
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| | invasive coronary angiography |
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| | myocardial infarction |
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| | resting full-cycle ratio |
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| | revascularization |
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| K10plus-PPN: | 1741227666 |
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| Verknüpfungen: | → Zeitschrift |
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| Lokale URL UB: |  Zum Volltext |
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Comparison of machine learning computed tomography-based fractional flow reserve and coronary CT angiography-derived plaque characteristics with invasive resting full-cycle ratio / Baumann, Stefan [VerfasserIn]; 6 March 2020 (Online-Ressource)
