AIMS: The aim of this study was to assess in vitro the diagnostic accuracy of computed tomography angiography (CTA) for the evaluation of complex coronary lesions. METHODS AND RESULTS: Five Plexiglas phantoms with three bifurcation lesions each were designed to mimic the anatomic variations and fractal phenomena of the coronary tree. In addition, luminal stenoses were scaled up with increases of 10% from 40% to 80%, corresponding to luminal areas ranging from 3.0 mm2 to 0.22 mm2. Third-generation dual-source computed tomography was used. Automated quantitative CTA analysis was performed according to the bifurcation segment model. The primary objective was to determine the diagnostic accuracy of quantitative CTA in assessing bifurcation lesions with the phantoms as a reference. The accuracy of CTA for the assessment of minimal luminal diameter was -0.07 mm (limits of agreement -0.75 to 0.61), for reference vessel diameter 0.19 mm (limits of agreement -0.25 to 0.63) and diameter stenosis 8.2% (limits of agreement -13.2 to 29.5) with no difference regarding the location within the bifurcation (i.e., proximal and distal main vessel and side branch). In stenosis with minimal luminal diameter ≥1 mm, CTA overestimated the lesion severity (bias 0.19 mm, limits of agreement -0.09 to 0.47), whereas in lesions with severe stenosis and minimal luminal diameter ≤1 mm, CTA underestimated the lesion severity (bias -0.48 mm, limits of agreement -0.55 to -0.41). CTA was able to identify the contrast-filled lumen in all degrees of lesion severity. CONCLUSIONS: In vitro, CTA is accurate for the evaluation of bifurcation lesions. CTA was able to distinguish contrast-filled lumen even in severe obstructive lesions. These findings require further validation in the clinical setting.
AIMS: The aim of this study was to assess in vitro the diagnostic accuracy of computed tomography angiography (CTA) for the evaluation of complex coronary lesions. METHODS AND RESULTS: Five Plexiglas phantoms with three bifurcation lesions each were designed to mimic the anatomic variations and fractal phenomena of the coronary tree. In addition, luminal stenoses were scaled up with increases of 10% from 40% to 80%, corresponding to luminal areas ranging from 3.0 mm2 to 0.22 mm2. Third-generation dual-source computed tomography was used. Automated quantitative CTA analysis was performed according to the bifurcation segment model. The primary objective was to determine the diagnostic accuracy of quantitative CTA in assessing bifurcation lesions with the phantoms as a reference. The accuracy of CTA for the assessment of minimal luminal diameter was -0.07 mm (limits of agreement -0.75 to 0.61), for reference vessel diameter 0.19 mm (limits of agreement -0.25 to 0.63) and diameter stenosis 8.2% (limits of agreement -13.2 to 29.5) with no difference regarding the location within the bifurcation (i.e., proximal and distal main vessel and side branch). In stenosis with minimal luminal diameter ≥1 mm, CTA overestimated the lesion severity (bias 0.19 mm, limits of agreement -0.09 to 0.47), whereas in lesions with severe stenosis and minimal luminal diameter ≤1 mm, CTA underestimated the lesion severity (bias -0.48 mm, limits of agreement -0.55 to -0.41). CTA was able to identify the contrast-filled lumen in all degrees of lesion severity. CONCLUSIONS: In vitro, CTA is accurate for the evaluation of bifurcation lesions. CTA was able to distinguish contrast-filled lumen even in severe obstructive lesions. These findings require further validation in the clinical setting.
Authors: Hideyuki Kawashima; Giulio Pompilio; Daniele Andreini; Antonio L Bartorelli; Saima Mushtaq; Enrico Ferrari; Francesco Maisano; Ronny R Buechel; Kaoru Tanaka; Mark La Meir; Johan De Mey; Ulrich Schneider; Torsten Doenst; Ulf Teichgräber; Gregg W Stone; Faisal Sharif; Robbert de Winter; Brian Thomsen; Charles Taylor; Campbell Rogers; Jonathon Leipsic; William Wijns; Yoshinobu Onuma; Patrick W Serruys Journal: BMJ Open Date: 2020-12-10 Impact factor: 2.692
Authors: Sakura Nagumo; Carlos Collet; Bjarne L Norgaard; Hiromasa Otake; Brian Ko; Bon-Kwon Koo; Jonathon Leipsic; Daniele Andreini; Ward Heggermont; Jesper M Jensen; Yu Takahashi; Abdul Ihdayhid; Zinlong Zhang; Emanuele Barbato; Michael Maeng; Takuya Mizukami; Jozef Bartunek; Adam Updegrove; Martin Penicka; Campbell Rogers; Charles Taylor; Bernard De Bruyne; Jeroen Sonck Journal: Clin Cardiol Date: 2021-03-03 Impact factor: 2.882