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Interobserver variability in interpreting contrast left ventriculograms (CASS)

Insights

Quality control centers reread left ventricular cineangiograms from a multicenter study. Results showed good agreement for volume and ejection fraction calculations, and regional wall motion analysis, ensuring reliable data for coronary artery disease research.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Quality Control in Clinical Trials

Background:

  • Multicenter studies require rigorous quality control for accurate data.
  • Left ventricular cineangiography is crucial for assessing cardiac function in coronary artery disease (CAD).
  • Variability in image analysis can impact study outcomes.

Purpose of the Study:

  • To evaluate the reliability of left ventricular (LV) volume and ejection fraction (EF) measurements.
  • To assess the consistency of regional LV wall motion abnormality analysis.
  • To validate data quality from clinical sites against a central quality control (QC) center.

Main Methods:

  • Randomly selected LV cineangiograms from the Coronary Artery Surgery Study (CASS) were recalled and reread by a QC center.
  • End diastolic volume (EDV), end systolic volume (ESV), and EF were calculated and compared.
  • Regional LV wall motion was assessed in RAO and LAO views, with segments graded for abnormality severity.

Main Results:

  • High correlation coefficients were observed for EDV (0.71), ESV (0.84), and EF (0.79) between clinical sites and QC.
  • Interobserver differences for regional wall motion abnormalities were low (7% RAO, 10% LAO) after excluding minor discrepancies.
  • Overall agreement for total LV scores, reflecting wall motion severity, showed a strong correlation (0.83).

Conclusions:

  • Centralized quality control of left ventricular cineangiograms ensures reliable measurements of LV volumes, EF, and regional wall motion.
  • The established QC procedures provide confidence in the data used for the CASS multicenter study.
  • Standardized analysis protocols are effective in minimizing interobserver variability in cardiac imaging assessments.

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