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Echocardiography in evaluation of pulmonary venous lesion in total anomalous pulmonary venous connection / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 340-344, 2017.
Article in Chinese | WPRIM | ID: wpr-608772
ABSTRACT
Objective To explore the value of echocardiography in evaluation of pulmonary venous in total anomalous pulmonary venous connection (TAPVC).Methods Fifty-five children with TAPVC were enrolled in the study.The data of echocardiography and CT angiography were retrospectively analyzed and compared with intraoperative findings.Results Totally 55 patients with TAPVC were classified into supra-cardiac type (n=24),cardiac type (n=20),infra-cardiac type (n=7) and mixed type (n=4) according to the sites of drainage of pulmonary venous in echocardiography.In 15 patients with obstruction of pulmonary vertical vein,the sites of obstruction in the supra-cardiac type mostly presented between vertical vein and superior vena cava or innominate vein,and the sites of obstruction in the infra-cardiac presented all between vertical vein and hepatic or portal vein.In 4 patients with pulmonary vein stenosis,3 cases with local pulmonary vein stenosis were all cardiac type,which presented between individual pulmonary vein and common confluence or right atrium;1 patient with diffuse pulmonary vein stenosis was infra-cardiac type.In 9 patients of abnormal individual pulmonary vein,8 cases were not detected by echocardiography,but all were detected by CT angiography.Conclusion Echocardiography is able to make more comprehensive evaluation for the pulmonary venous drainage,obstruction,and proximal stenosis of individual pulmonary vein in TAPVC.CT angiography is superior in evaluation of abnormalities of connection and amount of individual pulmonary vein,and imaging of distal pulmonary vein.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article