2015
DOI: 10.1016/j.ejrad.2015.05.010
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Diagnostic value of quantitative stenosis predictors with coronary CT angiography compared to invasive fractional flow reserve

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Cited by 60 publications
(36 citation statements)
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References 24 publications
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“…CCO is an attenuation based anatomic parameter and allows for normalized measurements, obtained from scanning over multiple heart cycles. [16] In accordance to previous trials using invasive FFR as the reference standard, we similarly observed that CCO was an effective predictor for hemodynamically relevant stenosis and showed a significant correlation with invasive iFR® [1,14,16]. Additionally, we demonstrate in a multivariable regression analysis that combined CCO, RI, and cCTA derived morphological plaque markers, such as the degree of luminal diameter stenosis, may have incremental predictive value over cCTA alone for the detection of functionally significant coronary arterial stenosis (AUC 0.93).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…CCO is an attenuation based anatomic parameter and allows for normalized measurements, obtained from scanning over multiple heart cycles. [16] In accordance to previous trials using invasive FFR as the reference standard, we similarly observed that CCO was an effective predictor for hemodynamically relevant stenosis and showed a significant correlation with invasive iFR® [1,14,16]. Additionally, we demonstrate in a multivariable regression analysis that combined CCO, RI, and cCTA derived morphological plaque markers, such as the degree of luminal diameter stenosis, may have incremental predictive value over cCTA alone for the detection of functionally significant coronary arterial stenosis (AUC 0.93).…”
Section: Discussionmentioning
confidence: 99%
“…The Poiseuille-based coronary angiographic index (LL/MLD 4 ) was calculated as the quotient of the lesion length (LL) divided by the 4 th power of the minimal luminal diameter (MLD 4 ). A threshold of LL/ MLD 4 > 3.86 was defined to indicate a hemodynamically significant lesion [16].…”
Section: Analysis Of Computed Tomographic Morphological Plaque Characmentioning
confidence: 99%
“…These include the work of Renker et al and others. [24][25][26][27][28][29][30][31] Unsurprisingly, a critical component of cFFR img is the physiological model that should be able to replicate the coronary flow and pressure during maximal hyperaemia. For both the 3D and reduced-order approaches to noninvasive FFR, adenosine administration is not required during imaging, which is generally performed under resting conditions.…”
Section: Noninvasive Ffrmentioning
confidence: 99%
“…31 Additional measurements, such as brachial pressure, can be used to derive aortic pressure and incorporated into more complex heart and coronary models; see related studies [16][17][18]36 and variants. 24,[26][27][28][29][30] Other boundary condition strategies include the prescription of pressure at the inlet, coupled with Windkessel models at the outlets 11 or steady-state simulations with uniform pressure and/or flow derived from imaging data 21,22 or else measured from 3D QCA and TIMI (thrombolysis in myocardial infarction) frame count. 20 In the present work, we demonstrate the feasibility of using CCTA imaging data and coronary flow simulations entirely based on reduced-order models to predict physiological measures such as FFR.…”
Section: Noninvasive Ffrmentioning
confidence: 99%
“…Thus, FFRCT may be useful for identifying patients who may benefit from revascularization and for prediction and optimization of PCI outcomes. [32][33][34] …”
Section: Accuracy Of Ffrctmentioning
confidence: 99%