Abstract

To explore the feasibility and value of a new categorization of double outlet right ventricular (DORV) on guiding the optimal choices of surgical approaches. Five hundred and twenty one DORV patients diagnosed by echocardiography, angiocardiography and CT at Fuwai Hospital from May 2003 to September 2014 were enrolled in this retrospective study. Congenital DORV was categorized according to three basic factors as follows: the positional relationships of great arteries (normal relation or abnormal relation), the relationships of the ventricular septal defect (VSD) to the great arteries (committed VSD or remote VSD), the presence or absence of pulmonary outflow tract obstruction (POTO). Eight types of DORV were established: type I (normal relation, committed VSD, without POTO), type II (normal relation, committed VSD, POTO), type III (normal relation, remote VSD, without POTO), type IV (normal relation, remote VSD, POTO), type V (abnormal relation, committed VSD, without POTO), type VI (abnormal relation, committed VSD, POTO), type VII (abnormal relation, remote VSD, without POTO), type VIII (abnormal relation, remote VSD, POTO). Feasibility of this classification and the value of this classification on guiding the choice of surgical approaches were analyzed. Among the five hundred and twenty one patients, there were 90 patients (17.3%) with type I DORV, 94 patients (18.0%) with type II, 33 patients (6.3%) with type III, 34 patients (6.5%) with type IV, 64 patients (12.3%) with type V, 61 patients (11.7%) with type VI, 33 patients (6.3%) with type VII, 112 patients (21.5%) with type VIII. Thus, all patients could be typed by this classification method. The echocardiography diagnosis was consistent with the intra-operative and or cardiac catheterization/CT findings. Excluding the contraindications of bi-ventricular repair, different surgical approaches were performed in every subtype of DORV according the classification, which indicated that this novel categorization could accurately guide the clinic managements. This novel DORV categorization can accurately diagnose DORV lesions, and guide the clinic therapy choice.

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