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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

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...

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Main Authors: Baumann, Stefan (Author) , Hirt, Markus (Author) , Rott, Christina (Author) , Özdemir, Gökce Havva (Author) , Tesche, Christian (Author) , Becher, Tobias (Author) , Weiß, Christel (Author) , Hetjens, Svetlana (Author) , Akın, Ibrahim (Author) , Schönberg, Stefan (Author) , Borggrefe, Martin (Author) , Janssen, Sonja (Author) , Overhoff, Daniel (Author) , Loßnitzer, Dirk (Author)
Format: Article (Journal)
Language:English
Published: 6 March 2020
In: Journal of Clinical Medicine
Year: 2020, Volume: 9, Issue: 3
ISSN:2077-0383
DOI:10.3390/jcm9030714
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.3390/jcm9030714
Verlag, kostenfrei, Volltext: https://www.mdpi.com/2077-0383/9/3/714
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Author Notes: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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Summary: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.
Item Description:Gesehen am 26.11.2020
Physical Description:Online Resource
ISSN:2077-0383
DOI:10.3390/jcm9030714

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