Derivation and validation of a new angiographic score of right coronary artery perfusion

C K Wong1, S B Freedman, G Bautovich

  • 1Hallstrom Institute of Cardiology, University of Sydney, Royal Prince Alfred Hospital, Australia.

Insights

A new Right Coronary Artery (RCA) score helps assess myocardial perfusion in patients with coronary artery disease. This score correlates with thallium scintigraphy, aiding in stratifying the area of heart muscle at risk.

Area of Science:

  • Cardiology
  • Nuclear Cardiology
  • Coronary Artery Disease

Background:

  • Assessing myocardial perfusion is crucial in managing coronary artery disease (CAD).
  • Right coronary artery (RCA) dominance presents unique challenges in evaluating perfusion territory.
  • Stratifying the extent of myocardium at risk is essential for patient management.

Purpose of the Study:

  • To develop and validate a semi-quantitative Right Coronary Artery score (RCA score).
  • To correlate the RCA score with thallium scintigraphy findings.
  • To assess the utility of the RCA score in stratifying perfusion deficits in patients with dominant RCA.

Main Methods:

  • A semi-quantitative RCA score was derived based on the ratio of major left ventricular branches to total RCA and left circumflex arteries.
  • Thirty-seven patients with one-vessel CAD involving a dominant RCA were studied.
  • Thallium scintigraphy (intracoronary and stress) was performed, and perfusion/defect sizes were quantified.

Main Results:

  • The RCA score ranged from 0.23 to 0.85.
  • The RCA score showed a strong correlation with posterior plus lateral thallium scores (r=0.88 for intracoronary, r=0.53 for stress).
  • The RCA score also correlated with summed thallium scores in posterior, lateral, apical, and inferior segments.

Conclusions:

  • The proposed RCA score effectively quantifies the posterolateral perfusion territory of the dominant RCA.
  • This score can stratify the area of myocardium at risk in patients with dominant RCA and coronary stenosis.
  • The RCA score offers a valuable tool for risk stratification in specific CAD populations.

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