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Bifurcation lesion assessment with advanced quantitative coronary angiography: A method still wanting
Morton J Kern1,2, Arnold H Seto1,2
1Veterans Administration Long Beach Health Care System, Long Beach, California.
Visual estimation of bifurcation stenosis is often inaccurate. Dedicated software revealed most visually overestimated lesions were not severe, highlighting the need for physiologic validation of bifurcation QCA software.
Area of Science:
- Cardiovascular medicine
- Medical imaging
- Interventional cardiology
Background:
- Bifurcation lesions are challenging for accurate stenosis assessment.
- Visual estimation frequently overestimates the severity of side branch lesions.
Discussion:
- Quantitative coronary angiography (QCA) software dedicated to bifurcations showed significant discrepancies with visual assessment.
- A high percentage of lesions visually estimated as severe (>50% diameter stenosis) were not confirmed by the software.
Key Insights:
- Dedicated bifurcation QCA software identified only 26-27% of visually estimated severe side branch lesions as truly severe.
- This suggests a substantial overestimation bias in visual interpretation of bifurcation stenosis.
Outlook:
- Further validation of bifurcation QCA software using physiologic measures is crucial.
- Determining the clinical utility and value of this software in guiding interventions is essential.
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