2021
DOI: 10.1007/s00330-021-08095-2
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DEtection of ProxImal Coronary stenosis in the work-up for Transcatheter aortic valve implantation using CTA (from the DEPICT CTA collaboration)

Abstract: Objectives Computed tomography angiography (CTA) is performed routinely in the work-up for transcatheter aortic valve implantation (TAVI), and could potentially replace invasive coronary angiography (ICA) to rule out left main (LM) and proximal coronary stenosis. The objectives were to assess the diagnostic yield and accuracy of pre-TAVI CTA to detect LM and proximal coronary stenosis of ≥ 50% and ≥ 70% diameter stenosis (DS). Methods The DEPICT CTA databa… Show more

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Cited by 17 publications
(13 citation statements)
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“…The utilization of CTA for coronary artery assessment in patients scheduled for TAVI has been investigated previously [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. An overview of available study experience in the context of combined coronary CTA and TAVI evaluation is provided in Table 1 .…”
Section: Overview Of the Current Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…The utilization of CTA for coronary artery assessment in patients scheduled for TAVI has been investigated previously [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. An overview of available study experience in the context of combined coronary CTA and TAVI evaluation is provided in Table 1 .…”
Section: Overview Of the Current Literaturementioning
confidence: 99%
“…At the same time, these CT system requirements are crucial for coronary artery image acquisition. The feasibility of coronary artery assessment with CTA in a subset of patients scheduled for TAVI has been established previously and based on further development in the field of CT technology, with improved spatial and temporal resolution, its potential value has been suggested [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Only recently, the addition of computational fluid dynamic-based and machine learning (ML)-based solutions for fractional flow reserve from CTA (CT–FFR) showed the potential to improve the diagnostic performance of CTA before TAVI [ 24 , 25 , 26 , 27 , 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…[ 34 ] Van Boogert et al suggested CTA sensitivity, specificity, positive predictive value (PPV) and NPVs of 95, 65, 71 and 94% respectively, for detecting significant stenosis. [ 35 , 36 ] Likewise, a recent study including 127 patients compared CTA with ICA images, and an excellent NPV for significant CAD as determined by stenosis ≥50% (97.5%) and for severe CAD with stenosis ≥70% (96.3%) were detected, suggesting a good CTA performance for ruling out CAD pre-TAVI procedure. [ 35 ] Van den Boogert et al used the DEPICT CTA database to demonstrate higher CTA diagnostic accuracy to rule out left main (LM) and proximal coronary stenosis in patients undergoing work-up for TAVI, with a sensitivity of 96.4% and NPV of 98.0% for a threshold of ≥50%, and a sensitivity of 96.7% and NPV of 99.0% for a threshold of ≥70% diameter stenosis.…”
Section: Coronary Artery Disease Assessmentmentioning
confidence: 99%
“…[ 35 ] Van den Boogert et al used the DEPICT CTA database to demonstrate higher CTA diagnostic accuracy to rule out left main (LM) and proximal coronary stenosis in patients undergoing work-up for TAVI, with a sensitivity of 96.4% and NPV of 98.0% for a threshold of ≥50%, and a sensitivity of 96.7% and NPV of 99.0% for a threshold of ≥70% diameter stenosis. [ 36 ] Therefore, CTA may become an important tool in the stratification of CAD among TAVI candidates, particularly with the increasing number of lower-risk patients. [ 17 ]…”
Section: Coronary Artery Disease Assessmentmentioning
confidence: 99%
“…The iterative reconstruction algorithm is an image reconstruction technique, which can obtain diagnostic images under low scanning conditions. Although the iterative algorithm has a large amount of computation and takes a long time, it is still considered to be a better reconstruction method for incomplete projection and projection data with noise [ 15 ]. The iterative algorithm divides the whole process of the image into many times and improves the image processing step by step.…”
Section: Introductionmentioning
confidence: 99%