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Variability of standard liver volume estimation versus software-assisted total liver volume measurement

机译:标准肝体积估计与软件辅助总肝体积测量的差异

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摘要

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.
机译:标准肝体积(SLV)的估计是评估潜在活体肝供体和肿瘤切除手术计划的重要组成部分。全球文献中至少已经发布了16种不同的SLV估算公式。最近,已经开发了几种专有的软件辅助图像后处理(SAIP)程序,以根据特定患者的实际解剖结构提供准确的体积测量。使用SAIP,我们在375位健康的潜在肝脏供体中测量了SLV,并将结果与​​SLV值进行了比较,该SLV值是使用先前发布的公式以及每个供体的人口统计学和拟人化数据估算的。 16个SLV公式与SAIP的百分比误差相差超过59%(从-21.6%到+ 37.7%)。一个配方在百分比误差(-1.2%)方面与SAIP没有统计学差异,而另一个配方在绝对肝脏体积(18 mL)方面没有统计学差异。这两个公式产生的估计SLV值中超过75%的百分比误差在±15%以内,并且这些公式在散点图上的可接受一致性(±15%)内提供了良好的预测。由于差异很大,因此在选择公式估算SLV时必须格外小心,但上述2个公式在我们的患者人群中提供了最准确的结果。

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