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Variability of standard liver volume estimation versus software‐assisted total liver volume measurement
Author(s) -
Pomposelli James J.,
Tongyoo Assanee,
Wald Christoph,
Pomfret Elizabeth A.
Publication year - 2012
Publication title -
liver transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.814
H-Index - 150
eISSN - 1527-6473
pISSN - 1527-6465
DOI - 10.1002/lt.23461
Subject(s) - medicine , volume (thermodynamics) , statistics , liver transplantation , standard error , nuclear medicine , software , surgery , mathematics , computer science , transplantation , physics , quantum mechanics , programming language
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. © 2012 AASLD.