BACKGROUND: Speckle-tracking imaging is a novel method for assessing left ventricular (LV) function and ischemic changes. The aim of this study was to assess the predictive value of two-dimensional longitudinal strain in the detection of longitudinal LV dysfunction and the identification of coronary artery disease (CAD) in patients hospitalized with angina. METHODS: Two-dimensional strain software was extended to allow the analysis of numerous longitudinal strain traces in the entire left ventricle and generate a histogram of peak systolic strain (PSS) values for the left ventricle and for each coronary territory. In each histogram, the value of the 10% worst strain values (PSS(10%)) was determined. Global strain, segmental PSS, and PSS(10%) were analyzed in 97 patients hospitalized with angina and had normal LV function, who underwent coronary angiography, and 51 patients with low probability of CAD. Echocardiography was performed 2.9 ± 2 days after admission. RESULTS: Sixty-nine patients had significant CAD on coronary angiography. Significant differences were observed in all strain parameters between patients with and without CAD. PSS(10%) showed the best accuracy in detecting CAD, with an area under the receiver operating characteristic curve of 0.85. The areas under the curve for global strain and segmental PSS were 0.80 and 0.76, respectively. The optimal cutoff for PSS(10%) was -13.9%, with sensitivity and specificity of 86% and 75%, respectively. PSS(10%) was better than segmental PSS in the detection of CAD in each coronary territory. CONCLUSIONS: In patients hospitalized with angina who have significant CAD on coronary angiography, longitudinal systolic function is impaired. Histogram analysis improved the accuracy of longitudinal strain analysis in detecting global and regional impaired function.
BACKGROUND: Speckle-tracking imaging is a novel method for assessing left ventricular (LV) function and ischemic changes. The aim of this study was to assess the predictive value of two-dimensional longitudinal strain in the detection of longitudinal LV dysfunction and the identification of coronary artery disease (CAD) in patients hospitalized with angina. METHODS: Two-dimensional strain software was extended to allow the analysis of numerous longitudinal strain traces in the entire left ventricle and generate a histogram of peak systolic strain (PSS) values for the left ventricle and for each coronary territory. In each histogram, the value of the 10% worst strain values (PSS(10%)) was determined. Global strain, segmental PSS, and PSS(10%) were analyzed in 97 patients hospitalized with angina and had normal LV function, who underwent coronary angiography, and 51 patients with low probability of CAD. Echocardiography was performed 2.9 ± 2 days after admission. RESULTS: Sixty-nine patients had significant CAD on coronary angiography. Significant differences were observed in all strain parameters between patients with and without CAD. PSS(10%) showed the best accuracy in detecting CAD, with an area under the receiver operating characteristic curve of 0.85. The areas under the curve for global strain and segmental PSS were 0.80 and 0.76, respectively. The optimal cutoff for PSS(10%) was -13.9%, with sensitivity and specificity of 86% and 75%, respectively. PSS(10%) was better than segmental PSS in the detection of CAD in each coronary territory. CONCLUSIONS: In patients hospitalized with angina who have significant CAD on coronary angiography, longitudinal systolic function is impaired. Histogram analysis improved the accuracy of longitudinal strain analysis in detecting global and regional impaired function.
Authors: Christoffer A Hagemann; Søren Hoffmann; Rikke A Hagemann; Thomas Fritz-Hansen; Flemming J Olsen; Peter G Jørgensen; Tor Biering-Sørensen Journal: Int J Cardiovasc Imaging Date: 2019-06-21 Impact factor: 2.357
Authors: C Sciaccaluga; G E Mandoli; N Sisti; M B Natali; A Ibrahim; D Menci; A D'Errico; G Donati; G Benfari; S Valente; S Bernazzali; M Maccherini; S Mondillo; M Cameli; M Focardi Journal: Int J Cardiovasc Imaging Date: 2021-01-13 Impact factor: 2.357