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MSCT in diagnosis of pulmonary atresia with ventricular septal defect / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 528-532, 2018.
Article in Chinese | WPRIM | ID: wpr-706275
ABSTRACT
Objective To explore the value of MSCT in diagnosis of pulmonary atresia complicated with ventricular septal defect (PA/VSD).Methods Clinical and imaging data of 81 patients with PA/VSD were retrospectively analyzed.All patients underwent transthoracic echocardiography (TTE) and MSCT before surgical operation,and the imaging data were compared with surgical findings.Results There were 23 patients of type A1,17 of type A2,34 of type B and 7 of type C PA/VSD.The accuracy rate of MSCT classification of PA/VSD (93.82% [76/81]) was higher than that of TTE (59.26% [48/81];x2=26.95,P<0.01).The accuracy rate of MSCT diagnosis of origin of major aortopulmonary collateral arteries (MAPCAs,100% [93/93]) was higher than that of TTE (51.84% [51/93];x2 =54.25,P<0.01).Fifty cardiac malformations (50/53,94.34%) were detected with MSCT,53 with TTE ([53/53,100%];x2 =1.37,P=0.24),while 66 heart-vessel conjunction abnormalities (66/66,100%) were detected with MSCT,and 65 with TTE ([65/66,98.48%],P>0.05).Meanwhile,106 extracardiac great vessel abnormalities (106/106,100%) were detected with MSCT and 87 with TTE ([87/106,82.08%],x2 =20.87,P<0.05).McGoon index,pulmonary artery index and total neo-pulmonary arterial indexes (TNPAI) measured with MSCT were not statistical different with findings of surgical operation (all P> 0.05).Conclusion MSCT can accurately diagnose type of PA/VSD and display pulmonary artery developmental state,therefore providing guidance for clinical treatment of PA/VSD.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article