Estimating Left Main Bifurcation Geometry: Are Geometric Models Reliable in Diseased Arteries?

Area of Science:

• Cardiovascular research
• Medical imaging analysis
• Biomedical engineering

Background:

• Accurate characterization of coronary bifurcation geometry is crucial for percutaneous coronary interventions.
• Existing geometric models for predicting coronary bifurcation dimensions need further evaluation in diseased vessels.

Purpose of the Study:

• To evaluate the accuracy and precision of three geometric models (Murray, Finet, Huo-Kassab) for estimating left main coronary artery (LMCA) bifurcation diameters.
• To compare model predictions against quantitative coronary angiography (QCA) and intravascular ultrasound (IVUS) reference standards.

Main Methods:

• Retrospective analysis of 13 patients with IVUS evaluation of the LMCA.
• Comparison of predicted bifurcation diameters from geometric models with QCA and IVUS measurements.
• Assessment of accuracy, precision, and agreement using Bland-Altman analysis.

Main Results:

• Murray and Huo-Kassab models showed higher accuracy than the Finet model when compared to QCA.
• The Murray model demonstrated the best performance (accuracy -0.49 mm, precision 0.84 mm) compared to IVUS.
• Bland-Altman analysis confirmed superior agreement for the Murray model, especially with IVUS.

Conclusions:

• The Murray and Huo-Kassab models provide more accurate geometric predictions for diseased LMCA bifurcations compared to the Finet model.
• The Murray model exhibits the best overall performance, particularly when validated with IVUS data.