Variability of standard liver volume estimation versus software-assisted total liver volume measurement
Variability of standard liver volume estimation versus software-assisted total liver volume measurement
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DOI：
10.1002/lt.23461
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发表时间：
2012-09-01
影响因子：
4.6
通讯作者：
Pomfret, Elizabeth A.
中科院分区：
文献类型：
--
作者：
Pomposelli, James J.;Tongyoo, Assanee;Pomfret, Elizabeth A.
标准肝脏体积（SLV）的估计是评估潜在活体肝脏供体和肿瘤切除手术计划的重要组成部分。在世界范围内的文献中，至少有16种不同的SLV估算公式。最近，几个专有的软件辅助图像后处理（SAIP）程序已经开发出来，以提供准确的体积测量的基础上，一个特定的病人的实际解剖结构。使用SAIP，我们测量了375名健康的潜在肝脏供体的SLV，并将结果与先前发表的公式和每个供体的人口统计学和拟人数据估计的SLV值进行了比较。16个SLV公式与SAIP公式的百分比误差在59%以上（从-21.6%到+37.7%）。一种公式在百分比误差（-1.2%）方面与SAIP无统计学差异，另一种公式在绝对肝脏体积（18 mL）方面无统计学差异。这两个公式产生的SLV估算值中有75%以上的误差百分比在+/-15%以内，并且在散点图上，公式提供了在可接受的一致性（+/-15%）内的良好预测。由于变异性很大，在选择公式估计SLV时必须小心，但上述2个公式提供了我们患者人口统计学的最准确结果。肝脏移植，2012年。(C)2012年AASLD。
The estimation of the standard liver volume (SLV) is an important component of the evaluation of potential living liver donors and the surgical planning for resection for tumors. At least 16 different formulas for estimating SLV have been published in the worldwide literature. More recently, several proprietary software-assisted image postprocessing (SAIP) programs have been developed to provide accurate volume measurements based on the actual anatomy of a specific patient. Using SAIP, we measured SLV in 375 healthy potential liver donors and compared the results to SLV values that were estimated with the previously published formulas and each donor's demographic and anthropomorphic data. The percentage errors of the 16 SLV formulas versus SAIP varied by more than 59% (from -21.6% to +37.7%). One formula was not statistically different from SAIP with respect to the percentage error (-1.2%), and another formula was not statistically different with respect to the absolute liver volume (18 mL). More than 75% of the estimated SLV values produced by these 2 formulas had percentage errors within +/- 15%, and the formulas provided good predictions within acceptable agreement (+/- 15%) on scatter plots. Because of the wide variability, care must be taken when a formula is being chosen for estimating SLV, but the 2 aforementioned formulas provided the most accurate results with our patient demographics. Liver Transpl, 2012. (C) 2012 AASLD.