Chaubal Gaurav, Borkar Vibhor V, Shetty Guruprasad, Chattopadhyay Somnath, Bahure Upasna, Badhe Rashmi, Udare Ashlesha, Shah Samir, Gupte Parijat, Shukla Akash, Rela Mohammed, Mohanka Ravi
Department of Hepatobiliary Surgery and Liver Transplantation, Global Hospital Superspeciality and Transplant Center, Parel, Mumbai, 400 012, India.
Department of Hepatology, Global Hospital Superspeciality and Transplant Center, Parel, Mumbai, 400 012, India.
Indian J Gastroenterol. 2016 Jul;35(4):274-9. doi: 10.1007/s12664-016-0662-z. Epub 2016 Jun 18.
A number of formulae to estimate standard liver volume (SLV) exist. However, studies have shown that only certain formulae are applicable to a particular patient population, whereas the other formulae have not been accurate in estimating the SLV. Aim of this study was to assess which formula is most accurate in estimating SLV in the western Indian population.
Data for donors of living donor liver transplantation from September 2014 to July 2015 was analyzed. Liver volumes were measured using computed tomography volumetry (CTV). SLV was calculated using formulae by the currently existing formulae. The mean SLV and CTV, percentage error in the SLV, and the correlation between SLV and CTV were calculated.
Fifty-nine healthy subjects underwent donor hepatectomy [28 (47.5 %) males]. The mean age, mean body mass index (BMI), and mean body surface area (BSA) were 31.8 ± 8.8 years, 23.8 ± 3.7 kg/m(2), and 1.6 ± 0.4, respectively. Mean CTV was 1178 ± 246.8 mL. Difference between mean SLV and mean CTV ranged from -133.5 (±189) mL to 632.2 (±190.2) mL. Mean SLV was significantly different from CTV by all the formulae except Urata. Percentage of population whose SLV was within 15 % of the mean CTV ranged from 1.7 % to 67.8 %, with the highest percentage obtained by using Fu-Gui's formula. However, there was wide inter-individual variation on scatter plots between SLV and CTV by both these formulae.
Currently existing formulae were not accurate in estimating SLV in our population.
存在多种用于估算标准肝体积（SLV）的公式。然而，研究表明，只有某些公式适用于特定的患者群体，而其他公式在估算SLV时并不准确。本研究的目的是评估哪种公式在估算印度西部人群的SLV时最为准确。
分析了2014年9月至2015年7月活体肝移植供体的数据。使用计算机断层扫描容积测量法（CTV）测量肝脏体积。通过现有的公式计算SLV。计算了平均SLV和CTV、SLV的百分比误差以及SLV与CTV之间的相关性。
59名健康受试者接受了供体肝切除术[28名（47.5%）男性]。平均年龄、平均体重指数（BMI）和平均体表面积（BSA）分别为31.8±8.8岁、23.8±3.7kg/m²和1.6±0.4。平均CTV为1178±246.8mL。平均SLV与平均CTV之间的差异范围为-133.5（±189）mL至632.2（±190.2）mL。除了浦田公式外，所有公式计算出的平均SLV与CTV均有显著差异。SLV在平均CTV的15%范围内的人群比例为1.7%至67.8%，使用傅贵公式获得的比例最高。然而，这两种公式计算出的SLV与CTV之间的散点图存在较大的个体间差异。
现有的公式在估算我们人群的SLV时并不准确。
