Preoperative evaluation of anomalous pulmonary venous connection using dual-source computed tomography: Comparison with echocardiography.

Purpose: To evaluate the image features and diagnostic agreement for anomalous pulmonary venous connection (APVC) by dual-source computed tomography (DSCT) before surgery when compared with trans-thoracic echocardiography (TTE).
Materials and Methods: A total of one hundred and twenty-three patients were enrolled in this study. The associated malformation was analyzed between 39 total anomalous pulmonary venous connections (TAPVC) and 84 partial anomalous pulmonary venous connections (PAPVC). For 75 patients who received surgical treatment, the diagnostic agreement between the surgical findings of DSCT and TTE was evaluated. The dimensions of the four chambers of the heart were also measured by DSCT and TTE.
Results: Atrial septal defect is the most common anomaly associated with APVC (86/123, 69.9%), which has a higher incidence in TAPVC compared to that in PAPVC (100% vs. 56.0%, p<0.001). Of 75 operative patients, discrepancies in diagnostic sensitivity existed between DSCT and TTE for different drainage sites, supracardiac (94.4% vs. 82.2%, p=0.001), cardiac (98.7% vs. 91.1%, p=0.089), and infracardiac (100% vs. 57.1%, p=0.096), respectively, and for different venous origins, right superior pulmonary vein (98.4% vs. 87.1%, p=0.871), right inferior pulmonary vein (100% vs. 87.3%, p=0.006), left superior pulmonary vein (100% vs. 93.1%, p=0.246), left inferior pulmonary vein (100% vs. 95.7%, p=0.500), and atypical pulmonary vein (66.7% vs. 44.4%, p=0.011), respectively. Good agreement was obtained between DSCT and TTE for measurements of left atrium, left ventricle, right atrium, and right ventricle sizes (bias 0.3±5.05mm, -0.3±4.50mm, 5.8±14.15mm, and 1.1±5.95mm, respectively).
Conclusions: DSCT can provide optimal and accurate anatomy details for patients with APVC, and serves as a promising accessary imaging modality after TTE to achieve a better and comprehensive preoperative imaging evaluation.
(Copyright © 2017 Elsevier B.V. All rights reserved.)