Myocardial volume perfused by coronary artery branches--a three-dimensional x-ray CT evaluation in human cadaver

Y H Liu1, R C Bahn, E L Ritman

  • 1Department of Physiology and Biophysics, Mayo Medical Clinic, Rochester, MN 55905.

International Journal of Cardiac Imaging
|January 1, 1992
PubMed

Insights

Researchers quantified myocardial volume perfused by coronary arteries in human hearts. This finding suggests estimating at-risk myocardium volume from 3D coronary arterial tree geometry could aid in assessing infarction risk.

Area of Science:

  • Cardiovascular Anatomy
  • Medical Imaging
  • Coronary Artery Disease

Background:

  • The relationship between coronary artery branching and myocardial perfusion is crucial for understanding myocardial infarction.
  • Previous studies in pigs established a mathematical model (V = M x 10(-aL)) relating myocardial volume (V) to arterial length (L).

Purpose of the Study:

  • To investigate the relationship between myocardial volume and coronary arterial length in human hearts.
  • To determine if this relationship can be used to estimate the volume of myocardium at risk of infarction.

Main Methods:

  • Multislice computed tomography (CT) imaging was used on human cadaver hearts.
  • Barium sulfate gel was injected into coronary arteries to visualize perfused myocardium.
  • The volume of perfused myocardium and cumulative length of feeder branches were measured.

Main Results:

  • The relationship between myocardial volume (V) and arterial length (L) was quantified for major coronary arteries: LAD (V = 115 x 10(-0.006L)), LCX (V = 48 x 10(-0.009L)), and RCA (V = 103 x 10(-0.004L)).
  • Strong negative correlations were observed (r = -0.894 for LAD, r = -0.7663 for LCX, r = -0.673 for RCA).

Conclusions:

  • A consistent mathematical relationship exists between coronary arterial geometry and myocardial perfusion volume in human hearts.
  • This relationship suggests the potential for estimating the volume of myocardium at risk of infarction using 3D coronary arterial tree imaging.

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