2. Method For Optimizing Ct Volumetry Of The Liver In Related Transplantation
DOI:
https://doi.org/10.35805/BSK2023III002Downloads
Abstract
Computed tomography volumetry is the standard method for preoperative estimation of liver volume. Despite the development of various software, the trend towards discrepancy in the calculation of liver volume compared with any of the methods and intraoperative graft weight remains. The aim of the study was to optimize the manual method of CT volumetry donor’ liver, determine its accuracy and compare it with the standard method..
Material and methods. A single-center prospective study including data from 60 liver donors who underwent computed tomography, CT volumetry and liver transplantation at the National Scientific Surgery Center named after A. N. Syzganov for the period 2018-2022..
Results. The Pearson correlation between the right liver lobe volume estimated by the standard method and the graft weight was 0.730 (p<0.01), the Pearson correlation between the liver volume calculated by the optimized method (-10 HU) and the graft was 0.757 (p<0.01), and the correlation between the optimized method (-20 HU) and graft weight – 0.860 (p<0.01). The Pearson correlation coefficient of the optimized method (-20 HU) is statistically significantly higher than the correlation coefficient of the standard manual method (p=0.026), the difference between the correlation coefficient of the optimized method (-10 HU) and the standard one is statistically insignificant (p=0.375). The degree of discrepancy between the optimized method (-20 HU) was 8.4%, manual method - 12.7%. There is a statistically significant difference between the degree of discrepancy between the standard manual and optimized method (-20 HU) (p=0.029). Conclusions. Optimization of the manual CT volumetry method with a decrease in the liver density threshold by 20 HU demonstrated a statistically significantly high correlation coefficient with the graft weight, and also significantly reduced the degree of discrepancy.
Keywords
Computed tomography, CT volumetry, liver transplantation, liver donor, optimization
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