INCREMENTAL BENEFIT OF COMPUTED TOMOGRAPHY DERIVED RESTING MYOCARDIAL PERFUSION USING MACHINE LEARNING METHOD AND COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE FOR PREDICTING LESION ISCHEMIA

INCREMENTAL BENEFIT OF COMPUTED TOMOGRAPHY DERIVED RESTING MYOCARDIAL PERFUSION USING MACHINE LEARNING METHOD AND COMPUTED TOMOGRAPHY DERIVED FRACTIONAL FLOW RESERVE FOR PREDICTING LESION ISCHEMIA

The emergence of resting myocardial computed tomography perfusion (rCTP) derived from machine learning methods as well as fractional flow reserve derived from computational fluid dynamics methods (FFRCT) [light horizontal line]both acquired from CCTA[light horizontal line] may further improve predic...

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Veröffentlicht in:Journal of the American College of Cardiology 2016-04, Vol.67 (13), p.1677-1677
Hauptverfasser: Lee, Ji Hyun, Rizvi, Asim, Han, Donghee, Hartaigh, Briain O, Gransar, Heidi, Lin, Fay, Min, James, Xiong, Guanglei
Format: Artikel
Sprache:eng
Schlagworte:
Cardiology
Cardiovascular
Cardiovascular disease
Fluid dynamics
Internal Medicine
Ischemia
Tomography
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Zusammenfassung:The emergence of resting myocardial computed tomography perfusion (rCTP) derived from machine learning methods as well as fractional flow reserve derived from computational fluid dynamics methods (FFRCT) [light horizontal line]both acquired from CCTA[light horizontal line] may further improve predictive utility beyond coronary stenosis alone.
ISSN:0735-1097
1558-3597
DOI:10.1016/S0735-1097(16)31678-3