Many authors have reported noninvasive means of diagnosing anomalous left coronary artery from pulmonary artery (ALCAPA) and differentiating ALCAPA from idiopathic dilated cardiomyopathy (DCM). Systematic evaluation using these noninvasive diagnostic modalities is not available. To distinguish between ALCAPA and DCM using a systematic approach, we examined 23 patients with ALCAPA (age 1 month to 23 years, median 7 months) and 23 patients with DCM (age 5 days to 16 years, median 6.6 months). Standard 12-lead electrocardiograms (ECG) and 2-dimensional (2-D) and color Doppler echocardiograms were performed. A logistic regression model was applied using ALCAPA diagnosis as the dependent variable and ECG and echocardiographic findings as independent variables. A scoring system was created to establish the ALCAPA diagnosis based on results from the logistic regression. On the logistic regression, the ECG feature of QT pattern in aVL (Q wave ≥ 3 mm deep with an inverted T wave) and echocardiographic features of right coronary artery diameter to aortic annulus ratio ≥ 0.14, increased papillary muscle echogenicity, and Doppler color flow of LCA from aorta or pulmonary artery were the most significant differentiating features between the ALCAPA and DCM groups. A scoring system was developed using the previous five variables and assigning a score of 1 to each variable (−1 to Doppler color flow of LCA from aorta). The scoring system had sensitivity of 100% and specificity of 91% for ALCAPA diagnosis. Compared with previous reported diagnostic features in differentiating ALCAPA and DCM, the scoring system had a much higher specificity and positive predictive value. In conclusion, we selected the most useful ECG and echocardiographic features to differentiate between ALCAPA and DCM and created a scoring system to aid clinical diagnosis. This scoring system may be useful in evaluating children with acute congestive heart failure.