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World J Surg ; 33(9): 1941-51, 2009 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-19603222

RESUMO

BACKGROUND: Intrahepatic anatomic variations have been associated with both morbidity and mortality associated with live donor liver transplantation. The aim of our study was to evaluate central hilar and peripheral segmental vascular/biliary anatomy in right graft living donor liver transplantation. METHODS: From January 2003 to August 2007, three-dimensional (3D) computed tomography (CT) reconstructions and virtual 3D hepatectomies were performed in 71 consecutive right graft live liver donors. A combined two-level classification system addressing the four possible combinations of normal (N) and abnormal (A) central hilar and peripheral features based on both the existing classification and our own classification for portal (portal vein, PV), arterial (hepatic artery, HA) and biliary (bile duct, BD) systems was defined as follows: type I, N/N; type II, N/A; type III, A/N; and type IV, A/A. RESULTS: A simultaneous normal central hilar and peripheral segmental (N/N) anatomy for each system (PV, HA, BD) was found in <50% of grafts. The highest incidence of complex vascular and biliary reconstructions was observed with grafts having abnormal central (type III) or combined abnormal central/peripheral (type IV) anatomy. Central hilar arterial and biliary anomalies were predictors of morbidity by both univariable and multivariable analyses. CONCLUSIONS: Our two-level classification and 3D imaging techniques allowed a cautious surgical approach in high-risk cases. Central hilar anatomic variants of the arterial and biliary systems were associated with increased morbidity. Further randomized trials will help determine the precise extent of our observations.


Assuntos
Transplante de Fígado , Fígado/irrigação sanguínea , Fígado/diagnóstico por imagem , Doadores Vivos , Tomografia Computadorizada por Raios X , Adulto , Feminino , Humanos , Imageamento Tridimensional , Fígado/cirurgia , Transplante de Fígado/mortalidade , Masculino , Morbidade , Interpretação de Imagem Radiográfica Assistida por Computador
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