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Echocardiographic Classification and Surgical Approaches to Double-Outlet Right Ventricle for Great Arteries Arising Almost Exclusively from the Right Ventricle
Author(s) -
Kunjing Pang,
Hong Meng,
Shengshou Hu,
Hao Wang,
David H. Hsi,
Zhongdong Hua,
Xiangbin Pan,
Shoujun Li
Publication year - 2017
Publication title -
texas heart institute journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 53
eISSN - 1526-6702
pISSN - 0730-2347
DOI - 10.14503/thij-16-5759
Subject(s) - medicine , double outlet right ventricle , great arteries , ventricle , tetralogy of fallot , cardiology , surgery , radiology , heart disease
Selecting an appropriate surgical approach for double-outlet right ventricle (DORV), a complex congenital cardiac malformation with many anatomic variations, is difficult. Therefore, we determined the feasibility of using an echocardiographic classification system, which describes the anatomic variations in more precise terms than the current system does, to determine whether it could help direct surgical plans. Our system includes 8 DORV subtypes, categorized according to 3 factors: the relative positions of the great arteries (normal or abnormal), the relationship between the great arteries and the ventricular septal defect (committed or noncommitted), and the presence or absence of right ventricular outflow tract obstruction (RVOTO). Surgical approaches in 407 patients were based on their DORV subtype, as determined by echocardiography. We found that the optimal surgical management of patients classified as normal/committed/no RVOTO, normal/committed/RVOTO, and abnormal/committed/no RVOTO was, respectively, like that for patients with large ventricular septal defects, tetralogy of Fallot, and transposition of the great arteries without RVOTO. Patients with abnormal/committed/RVOTO anatomy and those with abnormal/noncommitted/RVOTO anatomy underwent intraventricular repair and double-root translocation. For patients with other types of DORV, choosing the appropriate surgical approach and biventricular repair techniques was more complex. We think that our classification system accurately groups DORV patients and enables surgeons to select the best approach for each patient's cardiac anatomy.

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