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Related Experiment Video

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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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[Quantification of left ventricular function and mass in dual-source CT (DSCT).].

M Arraiza1, G Bastarrika, B Zudaire

  • 1Servicio de Radiología, Clínica Universidad de Navarra, Pamplona, España.

Radiologia
|March 17, 2009
PubMed
Summary

Interobserver agreement for quantifying left ventricular function and mass using cardiac dual-source CT (DSCT) is excellent. Semiautomatic software offers similar reliability to manual tracing but is twice as fast, despite a slight overestimation of left ventricular mass.

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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

Published on: October 28, 2020

Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Radiology

Background:

  • Accurate quantification of left ventricular (LV) function and mass is crucial for diagnosing and managing cardiac diseases.
  • Conventional manual contour tracing in cardiac computed tomography (CT) is time-consuming and subject to interobserver variability.
  • Semiautomatic segmentation software aims to improve efficiency and reproducibility in cardiac CT analysis.

Purpose of the Study:

  • To evaluate the interobserver agreement in quantifying left ventricular function and mass using dual-source CT (DSCT).
  • To compare the accuracy of conventional manual contour tracing with semiautomatic segmentation analysis software.
  • To assess the time efficiency of semiautomatic software versus manual methods.

Main Methods:

  • Retrospective analysis of cardiac DSCT data from 20 consecutive subjects with ECG-gating.
  • Multiphase image reconstructions at 5% intervals of the cardiac cycle.
  • Manual and semiautomatic (Circulation II, Siemens) segmentation for LV function and mass quantification by two independent observers.
  • Calculation of ejection fraction, volumes, stroke volume, cardiac output, and myocardial mass.

Main Results:

  • Excellent interobserver agreement (r>0.94) for LV function and mass quantification.
  • No significant difference in LV functional parameters between semiautomatic and manual methods (p>0.05).
  • Semiautomatic software significantly overestimated LV mass compared to manual tracing (mean difference 29.45g, p<0.05).
  • Semiautomatic method was significantly faster (248.85s) than manual contouring (452.7s) (p<0.05).

Conclusions:

  • Interobserver agreement for LV function and mass quantification using DSCT is excellent.
  • Semiautomatic software provides comparable reliability to manual methods for cardiac parameter quantification.
  • Semiautomatic segmentation significantly reduces analysis time, making it a more efficient alternative despite LV mass overestimation.