The impact of acquisition angle differences on three-dimensional quantitative coronary angiography
- PMID: 21766427
- DOI: 10.1002/ccd.23047
The impact of acquisition angle differences on three-dimensional quantitative coronary angiography
Abstract
Background: Three-dimensional (3D) quantitative coronary angiography (QCA) requires two angiographic views to restore vessel dimensions. This study investigated the impact of acquisition angle differences (AADs) of the two angiographic views on the assessed dimensions by 3D QCA.
Methods: X-ray angiograms of an assembled brass phantom with different types of straight lesions were recorded at multiple angiographic projections. The projections were randomly matched as pairs and 3D QCA was performed in those pairs with AAD larger than 25°. The lesion length and diameter stenosis in three different lesions, a circular concentric severe lesion (A), a circular concentric moderate lesion (B), and a circular eccentric moderate lesion (C), were measured by 3D QCA. The acquisition protocol was repeated for a silicone bifurcation phantom, and the bifurcation angles and bifurcation core volume were measured by 3D QCA. The measurements were compared with the true dimensions if applicable and their correlation with AAD was studied.
Results: 50 matched pairs of angiographic views were analyzed for the brass phantom. The average value of AAD was 48.0 ± 14.1°. The percent diameter stenosis was slightly overestimated by 3D QCA for all lesions: A (error 1.2 ± 0.9%, P < 0.001); B (error 0.6 ± 0.5%, P < 0.001); C (error 1.1 ± 0.6%, P < 0.001). The correlation of the measurements with AAD was only significant for lesion A (R(2) = 0.151, P = 0.005). The lesion length was slightly overestimated by 3D QCA for lesion A (error 0.06 ± 0.18 mm, P = 0.026), but well assessed for lesion B (error -0.00 ± 0.16 mm, P = 0.950) and lesion C (error -0.01 ± 0.18 mm, P = 0.585). The correlation of the measurements with AAD was not significant for any lesion. Forty matched pairs of angiographic views were analyzed for the bifurcation phantom. The average value of AAD was 49.1 ± 15.4°. 3D QCA slightly overestimated the proximal angle (error 0.4 ± 1.1°, P = 0.046) and the distal angle (error 1.5 ± 1.3°, P < 0.001). The correlation with AAD was only significant for the distal angle (R(2) = 0.256, P = 0.001). The correlation of bifurcation core volume measurements with AAD was not significant (P = 0.750). Of the two aforementioned measurements with significant correlation with AAD, the errors tended to increase as AAD became larger.
Conclusions: 3D QCA can be used to reliably assess vessel dimensions and bifurcation angles. Increasing the AAD of the two angiographic views does not increase accuracy and precision of 3D QCA for circular lesions or bifurcation dimensions.
Copyright © 2011 Wiley-Liss, Inc.
Similar articles
-
Comparison between two-dimensional and three-dimensional quantitative coronary angiography for the prediction of functional severity in true bifurcation lesions: Insights from the randomized DK-CRUSH II, III, and IV trials.Catheter Cardiovasc Interv. 2016 Mar;87 Suppl 1:589-98. doi: 10.1002/ccd.26405. Epub 2016 Feb 15. Catheter Cardiovasc Interv. 2016. PMID: 26876688
-
Comparison of two and three dimensional quantitative coronary angiography to intravascular ultrasound in the assessment of left main coronary artery bifurcation lesions.Chin Med J (Engl). 2014;127(6):1012-21. Chin Med J (Engl). 2014. PMID: 24622427
-
Two-dimensional quantitative coronary angiographic models for bifurcation segmental analysis: in vitro validation of CAAS against precision manufactured plexiglas phantoms.Catheter Cardiovasc Interv. 2011 May 1;77(6):830-9. doi: 10.1002/ccd.22844. Epub 2011 Mar 16. Catheter Cardiovasc Interv. 2011. PMID: 20939040
-
The need for dedicated bifurcation quantitative coronary angiography (QCA) software algorithms to evaluate bifurcation lesions.EuroIntervention. 2015;11 Suppl V:V44-9. doi: 10.4244/EIJV11SVA10. EuroIntervention. 2015. PMID: 25983170 Review.
-
Novel QCA methodologies and angiographic scores.Int J Cardiovasc Imaging. 2011 Feb;27(2):157-65. doi: 10.1007/s10554-010-9787-9. Epub 2011 Feb 20. Int J Cardiovasc Imaging. 2011. PMID: 21337026 Review.
Cited by
-
Non-culprit coronary lesions in young patients have higher rates of atherosclerotic progression.Int J Cardiovasc Imaging. 2015 Jun;31(5):889-97. doi: 10.1007/s10554-015-0635-9. Epub 2015 Mar 10. Int J Cardiovasc Imaging. 2015. PMID: 25749848
-
QCA, IVUS and OCT in interventional cardiology in 2011.Cardiovasc Diagn Ther. 2011 Dec;1(1):57-70. doi: 10.3978/j.issn.2223-3652.2011.09.03. Cardiovasc Diagn Ther. 2011. PMID: 24282685 Free PMC article. Review.
-
The impact of image resolution on computation of fractional flow reserve: coronary computed tomography angiography versus 3-dimensional quantitative coronary angiography.Int J Cardiovasc Imaging. 2016 Mar;32(3):513-23. doi: 10.1007/s10554-015-0797-5. Epub 2015 Oct 27. Int J Cardiovasc Imaging. 2016. PMID: 26507326
-
Expert recommendations on the assessment of wall shear stress in human coronary arteries: existing methodologies, technical considerations, and clinical applications.Eur Heart J. 2019 Nov 1;40(41):3421-3433. doi: 10.1093/eurheartj/ehz551. Eur Heart J. 2019. PMID: 31566246 Free PMC article. No abstract available.
-
In vivo assessment of bifurcation optimal viewing angles and bifurcation angles by three-dimensional (3D) quantitative coronary angiography.Int J Cardiovasc Imaging. 2012 Oct;28(7):1617-25. doi: 10.1007/s10554-011-9996-x. Epub 2011 Dec 15. Int J Cardiovasc Imaging. 2012. PMID: 22169957 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources