Key Points
- Determine whether applying the fractal geometric law to quantitative coronary angiography can accurately estimate reference vessel diameter and detect diffuse left main coronary artery disease.
- Analyzed 52 patients with either angiographically mild focal left main coronary artery disease (n=14) or normal to nearly normal arteries (n=38) who underwent intravascular ultrasound.
- Calculated theoretical reference diameters using the fractal geometric law formula (Dmother = 0.678 * [Ddaughter1 + Ddaughter2]) and compared results against conventional quantitative coronary angiography and intravascular ultrasound.
- Intravascular ultrasound confirmed focal stenosis in 14 patients (group C) and revealed diffuse disease in 10 of 38 angiographically normal patients (group B), leaving 28 patients with truly normal arteries (group A).
- Mean left main coronary artery stenosis across groups A, B, and C was 3%, 4%, and 42% on conventional quantitative angiography compared with 5%, 31%, and 43% using the fractal geometric method.
- Application of the fractal geometric law corrected an angiographic underestimation of vessel diameter that averaged 1.2 mm in patients with diffuse atheroma.
Structured PICO
Does applying the fractal geometric law to quantitative coronary angiography improve the quantification of left main coronary artery stenosis compared to usual QCA?
PPopulation52 patients with angiographically mild focal left main coronary artery (LMCA) disease (n=14) or normal to nearly normal LMCA (n=38) who had undergone intravascular ultrasound (IVUS).
IInterventionQuantitative coronary angiography applying the fractal geometric law (QCAfractal) to calculate theoretic LMCA diameter.
CComparatorUsual quantitative coronary angiography (QCA) and intravascular ultrasound (IVUS) as the reference standard.
OOutcomeQuantification of LMCA stenosis and diameter.surrogate
Applying the fractal geometric law to quantitative coronary angiography corrects the underestimation of left main coronary artery stenosis, particularly unmasking diffuse atherosclerotic disease.