Korean J Transplant.  2023 Nov;37(Suppl 1):S39. 10.4285/ATW2023.F-6068.

Multivariable linear model for predicting graft weight based on three-dimensional volumetry in regards of body weight change of living liver donor

• Rhu J

• KMID: 2551626
• DOI: http://doi.org/10.4285/ATW2023.F-6068

Abstract

Background
The purpose of this study is to build a prediction model for estimating the graft weight in regards of different graft volumetry methods combined with other variables.
Methods
Donors who underwent living donor right hepatectomy during March 2021 to March 2023 were included. Estimated graft volume measured by conventional method and three-dimensional (3D) software were collected as well as the actual graft weight. Univariable linear regressions were performed for estimating the predictability. Multivariable linear regression was per-formed to build a prediction model with higher accuracy. Donor groups were further divided into three groups according to the 3D volumetry of <700 cm ³ , 700 to 899 cm ³ , and ≥900 cm ³ to compare the performance of different models.
Results
A total of 119 donors were included to the study. Conventional volumetry for predicting graft weight showed R ² of 0.656 P<0.001) while 3D software showed R ² of 0.776 (P<0.001). The R ² of the multivariable model was 0.842 (P<0.001) including for 3D volume (b=0.623, P<0.001), body mass index (b=7.648, P<0.001) and amount of weight loss (b=–7.252, P<0.001). The median errors between different models to actual graft weight did not differ in donor groups <700 cm ³ and 700 to 899 cm ³ , while the median error of univariable linear model using 3D software (122.5; interquartile range [IQR], 61.5–179.8) was significantly higher compared to that of multivariable adjusted linear model (41.5; IQR, 24.8–69.8; P=0.003) in donors with estimated graft weight ≥900 cm ³ .
Conclusions
Univariable linear model with 3D volumetry can be used with acceptable outcome for predicting right liver graft weight in donors with estimated graft volume less than 900 cm ³ . For donors with estimated graft volume ≥900 cm ³ , multivariable adjusted linear model showed higher accuracy.