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Left Ventricular Twist in Patients with Atrial Septal Defect by Speckle Tracking Imaging / 中国医学影像学杂志
Chinese Journal of Medical Imaging ; (12): 516-519,524, 2017.
Artículo en Chino | WPRIM | ID: wpr-615285
ABSTRACT
Purpose To evaluate features of the left ventricular twist in patients with atrial septal defect (ASD) using speckle tracking imaging (STI) in order to guide clinical application.Materials and Methods Fifty-eight patients with ASD confirmed by ardiac ultrasound in Shanghai Children's Medical Center from October 2015 to January 2016 were enrolled in this study as case group,which were further divided into group ASD-A with 30 cases and group ASD-B with 28 cases according to the volume of right ventricular.The volume of right ventricular was significantly increased in the group ASD-A,but the volume of right ventricular was not significantly increased in the group ASD-B.At the same time,30 normal children with matched age and sex were chosen as control group.The parameters of left ventricular twist motion in each group were measured and compared by using STI.Results In group ASD-A,The basal and apical part of 6 children rotated counterclockwise.Compared with those in the control group,the basal rotation angle and apical rotation angle of left ventricular in group ASD-A were significantly higher (P<0.01),and the peak twist and torison of left ventricular in group ASD-A were also higher (P<0.05).Compared with those in the control group,only the apical rotation angle in group ASD-B was higher (P<0.05),but the rest parameters of the left ventricular twist motion in group ASD-B were not statistically significantly higher (P>0.05).Conclusion The significant increase in the volume of right heart load in ASD impacts on the basal and apical rotation of left ventricular.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Medical Imaging Año: 2017 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Medical Imaging Año: 2017 Tipo del documento: Artículo