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2d strain can predict significant coronary artery disease in patients with a normal echocardiography

Session ACNAP Essentials 4 You - ePosters

Speaker Karima Taamallah

Event : ACNAP Essentials 4 You 2020

  • Topic : imaging
  • Sub-topic : Imaging - Other
  • Session type : ePosters

Authors : KARIMA Taamallah (Tunis,TN), M Guebsi (Tunis,TN), S Ataoui (Tunis,TN), A Talhaoui (Tunis,TN), A Bennooman (Tunis,TN), H Raddaoui (Tunis,TN), N Hajlaoui (Tunis,TN), D Lahidheb (Tunis,TN), W Fehri (Tunis,TN)

KARIMA Taamallah1 , M Guebsi1 , S Ataoui1 , A Talhaoui1 , A Bennooman1 , H Raddaoui1 , N Hajlaoui1 , D Lahidheb1 , W Fehri1 , 1Military Hospital of Tunis, cardiology, military hospital - Tunis - Tunisia ,



Noninvasive detection of functionally significant coronary artery disease (CAD) by echocardiography remains challenging, with the need to perform stress imaging to detect ischemia. The aim of this study was to determine whether 2D strain can predict significant CAD in patients without regional wall motion abnormalities and preserved LV ejection fraction (EF).


Forty patients referred for coronary angiography who had EF = 50%, no resting regional wall motion abnormalities, and chest pain were assessed using echocardiography. Conventional echocardiographic Doppler study, tissue Doppler imaging, and 2D speckle tracking imaging were performed using Vivid 9 (General Electric Healthcare). Longitudinal strain imaging by 2D-speckle tracking echocardiography (2D-STE) was done with high-quality images from the apical four-chamber, two-chamber, and three-chamber views. The strain values for all the segments were recorded and averaged to obtain the global longitudinal strain(GLS).


Patients with significant CAD demonstrated a significantly reduced GLS (GLS= -16,09±2,28 vs 22,6±3,18 P < 0.001) compared with those without CAD. Global longitudinal strain was more significantly reduced (13,26± 2,34% P < .001) in patients with multivessel CAD than those with single-vessel CAD. Receiver operating characteristic curve analysis demonstrated that GLS was powerful predictor of significant CAD (area under the curve = 0.72). The optimal cutoff SGL value to - predict significant CAD was 12,4%(sensitivity,82%; specificity, 100%).


GLS is a sensitive index to detect significant CAD in patients with no regional wall motion abnormalities and normal EF. This is a probably a valuable  tool to early diagnosis of CAD.

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