Variabilities in measurement of coronary arterial dimensions resulting from variations in cineframe selection

J H Reiber1, P van Eldik-Helleman, N Visser-Akkerman

  • 1Thoraxcenter, Erasmus University, Rotterdam, The Netherlands.

Insights

Selecting coronary cineframes for lesion analysis is not critical, even with slight phase shifts. Quantitative measurements of coronary arterial segments show no significant time-dependency when frames are in the end-diastolic phase.

Area of Science:

  • Cardiovascular Imaging
  • Medical Image Analysis

Background:

  • Quantitative analysis of coronary arterial segments from cineangiograms relies on optimal frame selection.
  • Variability in frame selection by cardiologists can impact measurement reproducibility.

Purpose of the Study:

  • To investigate the effect of phase shifts in cineframe selection on the reproducibility of quantitative coronary lesion measurements.
  • To determine if end-diastolic phase selection is critical for accurate analysis.

Main Methods:

  • Analysis of 38 patient films using the Cardiovascular Angiography Analysis System (CAAS).
  • Quantitative analysis of coronary arterial segments in eight selected frames per film, including frame 0 (optimal lesion visualization in end-diastole) and surrounding/neighboring cardiac cycle frames.
  • Comparison of measurements (obstruction diameter, reference diameter, percent stenosis, plaque area) across selected frames.

Main Results:

  • No significant differences were found in mean differences and standard deviations for obstruction diameter, reference diameter, percent diameter stenosis, extent of obstruction, and atherosclerotic plaque area.
  • Variability in measurements was minimal across the analyzed frames relative to frame 0.

Conclusions:

  • The selection of a cineframe in the end-diastolic phase for quantitative analysis of coronary arterial segments is not critical.
  • Coronary obstruction measurements are not time-dependent for frames within the end-diastolic phase, suggesting robustness in analysis.

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