BACKGROUND: Accurate volumetric assessment of graft and remnant liver is essential in living donor liver transplantation (LDLT) for optimal clinical outcome in both donors and recipients. Recently, three-dimensional (3D) volumetry is proposed over conventional computed tomography (CT) volumetry to minimise errors. The aim of this study is to assess the correlation of estimated graft volume (EGV) by both the methods with actual graft weight (AGW). METHODS: One hundred fifty-four consecutive donors were enrolled prospectively. Conventional CT volumetry (semiautomatic) and 3D volumetry were performed using Myrian software. Total liver volume (TLV), EGV, and remnant liver volume (RLV) were assessed using both methods and correlated with intraoperatively measured AGW as the reference standard. Error of estimation was calculated accordingly. RESULTS: One hundred eighteen donors underwent right hepatectomy excluding middle hepatic vein (MHV), twenty-nine donors had left hepatectomy including MHV and six donors underwent left lateral sectionectomy. The median EGV on CT and 3D volumetry was 628.5 ml (140-1300) and 634.5 ml (156-1349), respectively. The median AGW was 647 gm (200-1004). Both CT and 3D volumetry showed strong correlation with AGW (correlation coefficients: 0.834 and 0.856, respectively). Linear correlation is as follows: (a) AGW = 99.75 + 0.818 × EGV (CT) and (b) AGW = 96.03 + 0.835 × EGV (3D). The mean percentage error for CT and 3D volumetry was 14.2 ± 12.5% and 12.2 ± 11.8%, respectively. The overall accuracy of estimation of EGV improved using 3D software (P=0.015). For the subgroup of types of graft, the difference did not reach statistical significance (P=0.062, 0.214 and 0.463 for right, left and left lateral grafts, respectively). CONCLUSION: Both conventional CT and 3D volumetric methods strongly correlate with AGW in donors of LDLT, whereas overall accuracy of estimation of graft weight improved marginally by 3D volumetry.
BACKGROUND: Accurate volumetric assessment of graft and remnant liver is essential in living donor liver transplantation (LDLT) for optimal clinical outcome in both donors and recipients. Recently, three-dimensional (3D) volumetry is proposed over conventional computed tomography (CT) volumetry to minimise errors. The aim of this study is to assess the correlation of estimated graft volume (EGV) by both the methods with actual graft weight (AGW). METHODS: One hundred fifty-four consecutive donors were enrolled prospectively. Conventional CT volumetry (semiautomatic) and 3D volumetry were performed using Myrian software. Total liver volume (TLV), EGV, and remnant liver volume (RLV) were assessed using both methods and correlated with intraoperatively measured AGW as the reference standard. Error of estimation was calculated accordingly. RESULTS: One hundred eighteen donors underwent right hepatectomy excluding middle hepatic vein (MHV), twenty-nine donors had left hepatectomy including MHV and six donors underwent left lateral sectionectomy. The median EGV on CT and 3D volumetry was 628.5 ml (140-1300) and 634.5 ml (156-1349), respectively. The median AGW was 647 gm (200-1004). Both CT and 3D volumetry showed strong correlation with AGW (correlation coefficients: 0.834 and 0.856, respectively). Linear correlation is as follows: (a) AGW = 99.75 + 0.818 × EGV (CT) and (b) AGW = 96.03 + 0.835 × EGV (3D). The mean percentage error for CT and 3D volumetry was 14.2 ± 12.5% and 12.2 ± 11.8%, respectively. The overall accuracy of estimation of EGV improved using 3D software (P=0.015). For the subgroup of types of graft, the difference did not reach statistical significance (P=0.062, 0.214 and 0.463 for right, left and left lateral grafts, respectively). CONCLUSION: Both conventional CT and 3D volumetric methods strongly correlate with AGW in donors of LDLT, whereas overall accuracy of estimation of graft weight improved marginally by 3D volumetry.
Authors: Fabian Rössler; Gonzalo Sapisochin; GiWon Song; Yu-Hung Lin; Mary Ann Simpson; Kiyoshi Hasegawa; Andrea Laurenzi; Santiago Sánchez Cabús; Milton Inostroza Nunez; Andrea Gatti; Magali Chahdi Beltrame; Ksenija Slankamenac; Paul D Greig; Sung-Gyu Lee; Chao-Long Chen; David R Grant; Elizabeth A Pomfret; Norihiro Kokudo; Daniel Cherqui; Kim M Olthoff; Abraham Shaked; Juan Carlos García-Valdecasas; Jan Lerut; Roberto I Troisi; Martin De Santibanes; Henrik Petrowsky; Milo A Puhan; Pierre-Alain Clavien Journal: Ann Surg Date: 2016-09 Impact factor: 12.969