Incremental value of resting three-dimensional speckle-tracking echocardiography in detecting coronary artery disease

You-Jing Sun1, Fang Wang2, Rui-Sheng Zhang2

  • 1Department of Ultrasonography, Beijing Hospital, Beijing 100730, P.R. China.

Insights

Resting three-dimensional speckle-tracking echocardiography (3D-STE) can help detect early left ventricular dysfunction in coronary artery disease (CAD) patients. Specific strain measures and composite indices show diagnostic value for identifying CAD.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Echocardiography

Background:

  • Coronary artery disease (CAD) often leads to early left ventricular (LV) dysfunction.
  • Detecting subtle LV dysfunction in early-stage CAD is crucial for timely intervention.
  • Traditional echocardiography may not always reveal early functional changes.

Purpose of the Study:

  • To evaluate the added diagnostic value of resting three-dimensional speckle-tracking echocardiography (3D-STE) for early left ventricular dysfunction in patients with suspected CAD.
  • To assess the efficacy of various strain parameters derived from 3D-STE in differentiating CAD patients from healthy individuals.

Main Methods:

  • 110 patients with suspected CAD underwent resting 3D-STE and coronary artery angiography (CAG).
  • 3D-STE software was used to measure peak longitudinal strain (LS), circumferential strain (CS), radial strain (RS), area strain (AS), and their time-to-peak values (T-LS, T-CS, T-RS, T-AS).
  • Receiver operator characteristic (ROC) curve analysis was employed to determine the diagnostic performance of these parameters.

Main Results:

  • ROC analysis revealed that T-LS and composite indices of strain and time-to-peak values had diagnostic value for early CAD detection (AUCs ranging from 0.621 to 0.692, P<0.005).
  • The composite index of longitudinal strain showed the highest diagnostic performance, with 62% sensitivity and 76% specificity.
  • These findings suggest that 3D-STE can identify subtle cardiac dysfunction in CAD patients.

Conclusions:

  • Resting 3D-STE provides incremental value in the diagnosis of coronary artery disease.
  • Specific strain parameters and their combinations derived from 3D-STE are effective in detecting early left ventricular dysfunction in CAD.
  • 3D-STE is a promising tool for non-invasive assessment of cardiac function in patients with suspected CAD.

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