[Results of radionuclide ventriculography and correlation with echocardiography and angiography]

J Brousil1, O Bĕlohlávek, V Foltýnová

  • 1Ustavy biofyziky a nukleární medicíny a II. interní klinika l. lékarské fakulty Univerzity Karlovy v Praze, Ceská republika.

Insights

This study compared methods for measuring heart function in coronary artery disease patients. Radionuclide ventriculography (RNVG) methods showed good correlation with radiological angiography (RTG) for most measurements, except for systolic volume (SV).

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Techniques

Background:

  • Accurate measurement of left ventricular volumes and ejection fraction is crucial for managing coronary artery disease (CAD).
  • Various imaging modalities, including radiological angiography (RTG), echocardiography (USG), and radionuclide ventriculography (RNVG), are used for these assessments.
  • Understanding the comparative accuracy and variability of these methods is essential for clinical decision-making.

Purpose of the Study:

  • To compare the correlation of left ventricular end-diastolic volume (EDV), end-systolic volume (ESV), systolic volume (SV), and ejection fraction (EF) measurements.
  • To evaluate different calculation methods within radionuclide ventriculography (RNVG) against radiological angiography (RTG) and echocardiography (USG).
  • To assess the interpersonal variability of RNVG evaluations.

Main Methods:

  • Retrospective analysis of 24 patients with coronary artery disease.
  • Comparison of measurements obtained via RTG, USG, and RNVG.
  • RNVG volume calculations included geometrical (GEO), scintigraphic image depth (VZ1), and body size-adjusted depth (VZ2) methods.
  • Interpersonal variability of RNVG was assessed simultaneously.

Main Results:

  • RNVG methods GEO and VZ2 demonstrated the best correlation with RTG for EDV (r=0.83, r=0.82) and ESV (r=0.91).
  • Echocardiography (USG) showed the best correlation for EF, with GEO and VZ2 also showing good correlation (r=0.85).
  • Systolic volume (SV) measurements exhibited very low correlation (r=0.39-0.50) across methods, rendering them practically useless.
  • Overestimation of low values and underestimation of high values were observed.
  • Interpersonal variability in RNVG evaluations was minimal.

Conclusions:

  • RNVG methods, particularly GEO and VZ2, offer reliable correlations with RTG for EDV and ESV measurements in CAD patients.
  • USG provides the best correlation for EF, while RNVG methods also show good agreement.
  • SV measurements are unreliable across the studied modalities, limiting their clinical utility.

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