Matteo Donadon1, Antonio Mimmo2, Guido Costa2, Matteo Cimino2, Luca Viganò2, Angela Palmisano2, Guido Torzilli2. 1. Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center, Humanitas University, Via Manzoni, 56, 20089, Rozzano, Milan, Italy. matteo.donadon@humanitas.it. 2. Department of Hepatobiliary and General Surgery, Humanitas Clinical and Research Center, Humanitas University, Via Manzoni, 56, 20089, Rozzano, Milan, Italy.
Abstract
BACKGROUND: The assessment of liver volume (LV) is important before surgical resection or transplantation to reduce the risk of hepatic insufficiency. LV is usually measured using computed tomography or with some formulas. The aim of this study was to develop a new dynamic formula to predict LV. METHODS: Using computed tomography, LV was calculated in 101 patients without liver disease. LV was correlated with patient metabolic status, calculated with the Harris-Benedict equation for basal energy expenditure (BEE). Activity energy expenditure (AEE) was also calculated. Using linear regression analysis, a new formula was derived and was compared with Heinmann's, Urata's, Emre's, Vauthey's, Yoshizumi's, Yu's, and Hashimoto's formulas. RESULTS: A new basal formula was established: LV = (0.789 × BEE) + 272. It was found to be the most accurate (R2 = 0.39, p < 0.001). Heinmann's, Emre's, and Vauthey's formulas tend to overestimate LV, while Urata's, Yoshizumi's, Yu's, and Hashimoto's formulas tend to underestimate LV. A new AEE formula was also established: LV = (0.789 × AEE) + 272. CONCLUSIONS: These formulas give a dynamic perspective of LV, which may be influenced by the patient's actual clinical status. Using these formulas, it is possible to estimate an increased value of LV, which may contribute to a reduction in the risk of postoperative hepatic insufficiency.
BACKGROUND: The assessment of liver volume (LV) is important before surgical resection or transplantation to reduce the risk of hepatic insufficiency. LV is usually measured using computed tomography or with some formulas. The aim of this study was to develop a new dynamic formula to predict LV. METHODS: Using computed tomography, LV was calculated in 101 patients without liver disease. LV was correlated with patient metabolic status, calculated with the Harris-Benedict equation for basal energy expenditure (BEE). Activity energy expenditure (AEE) was also calculated. Using linear regression analysis, a new formula was derived and was compared with Heinmann's, Urata's, Emre's, Vauthey's, Yoshizumi's, Yu's, and Hashimoto's formulas. RESULTS: A new basal formula was established: LV = (0.789 × BEE) + 272. It was found to be the most accurate (R2 = 0.39, p < 0.001). Heinmann's, Emre's, and Vauthey's formulas tend to overestimate LV, while Urata's, Yoshizumi's, Yu's, and Hashimoto's formulas tend to underestimate LV. A new AEE formula was also established: LV = (0.789 × AEE) + 272. CONCLUSIONS: These formulas give a dynamic perspective of LV, which may be influenced by the patient's actual clinical status. Using these formulas, it is possible to estimate an increased value of LV, which may contribute to a reduction in the risk of postoperative hepatic insufficiency.
Authors: J N Vauthey; A Chaoui; K A Do; M M Bilimoria; M J Fenstermacher; C Charnsangavej; M Hicks; G Alsfasser; G Lauwers; I F Hawkins; J Caridi Journal: Surgery Date: 2000-05 Impact factor: 3.982
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Authors: Margo Shoup; Mithat Gonen; Michael D'Angelica; William R Jarnagin; Ronald P DeMatteo; Lawrence H Schwartz; Scott Tuorto; Leslie H Blumgart; Yuman Fong Journal: J Gastrointest Surg Date: 2003 Mar-Apr Impact factor: 3.452