Background: Echocardiography-derived calcium score (ECS) was able to predict the presence of extensive coronary calcium and obstructive Coronary artery disease(CAD), assessed using Multi slice CT (MSCT) coronary angiography. Furthermore, significant linear trends were observed between ECS and extent and severity of coronary atherosclerosis and number of calcified coronary artery lesions. Objective: To correlate an echocardiography-derived calcium score (ECS), obtained using coronary artery calcium Score (CACS) and the presence of obstructive CAD. Patients and Methods: The study comprised 100 patients (males and females) presented with symptoms suspected of stable CAD. All cases were recruited from the outpatient clinic in Agouza police Hospital in Cairo and Islamic center of Al-Azhar University during a period of fourteen months from 1/11/2018 to 30/12/2019. Results: Linear regression analysis identified that the most independent variables that can predict AVC were CAC score, dyslipidemia, and the most independent variable that can predict obstructive coronary artery disease was the presence of coronary artery calcification and higher CAC score. ROC curve analysis was used to test the predictive value of aortic valve calcification (AVC), Mitral annulus calcification (MAC) and CAC scores for the presence or absence of obstructive CAD. This analysis showed that AVC and MAC scores were inferior to CAC score which was found to have the highest predictive value evidenced by an area under the curve of 0.763 (95%CI: 0.781, 0.913). MAC score was inferior to AVC score which was found to have the highest predictive value evidenced by an area under the curve of 0.815 (95%CI: 0.758, 0.879). Conclusion: The echocardiographic calcium scores specifically the MVC and AVC was correlated to be CAC. ECS can predict the CAC score. ECS can predict the presence or absence CAD.