Minireviews
Copyright ©The Author(s) 2023.
World J Transplant. Dec 18, 2023; 13(6): 290-298
Published online Dec 18, 2023. doi: 10.5500/wjt.v13.i6.290
Table 1 Formulas to estimate liver volumetry by computerized tomography
Ref.
Formula
Research place
Poovathumkadavil et al[22], 2010 LV = 12.26 × BW(kg) + 555.65Saudi Arabia
Noda et al[21], 1997 LV = 0.05012 × BW0.78Japan
Johnson et al[20], 2005 LV = 0.722 × BSA1.176North America
Yuan et al[24], 2008 LV = 949.7 × BSA (m2) - 48.3 × age - 247.4China
Yoshizumi et al[23], 2003 LV = (0.772 × BSA)/1.08North America
Table 2 Results of semi-automated image processing in different analysis
Ref.
Software and comparison
Reports
Pomposelli et al[47], 2012 Software MeVisA nonsignificant volume difference of approximately 17.5 mL and a low percentage error of approximately 2.8%
Compared right lobe graft volumes estimated by SAIP with actual graft weights measured during LDLT
Çelik et al[34], 2023 CT Liver Analysis, Philips Healthcare-RLDG volumes by manual and SA were compared to AGWBoth manual and SA overestimated the graft weight (manual: 893 ± 155 mL vs AGW: 787 ± 128 g, P < 0.001, SA: 879 ± 143 mL vs AGW, P < 0.001). The mean interaction time was 27.3 ± 14.2 min for manual and 6.8 ± 1.4 min for SAIP (P < 0.001)
Mohapatra et al[31], 2020 Myrian XP Liver 3D software (France)-RLDG, LLDG and LLSDG volumes by manual and SA were compared to AGWBoth manual and SA showed strong correlation with AGW (r = 0.834 and 0.856, respectively). The mean percentage error for manual and SA was 14.2 ± 12.5% and 12.2 ± 11.8%, respectively. The overall accuracy improved using SA (P = 0.015)
Kalshabay et al[25], 2023Vitrea software, including two different applications for manual segmentation (Volume analysis) and automated segmentation (CT liver analysis)The manual method correlated better with AGW (r = 0.730) in comparison with the SA (r = 0.685) and the automated (r = 0.699) methods (P < 0.001). The mean error ratio in volume estimation by each application was 12.7 ± 16.6% for manual, 17.1 ± 17.3% for SA, 14.7 ± 16.8% for automated methods
SA software (OsiriX MD)
RLDG
Goja et al[39], 2018AW Volume share 6 (GE Healthcare; Chicago, Illinois, United States)RLDGt: There was no statistically significant difference between mean SA and AGW in RL (722 ± 134 vs 717 ± 126 gm; P = 0.06). LLDG: Correlated strongly (r = 0.81, P < 0.001), mean SA was significantly high as compared to mean of AGW (460 ± 118 vs 433 ± 102 gm; P = 0.003). LLSDG: Mean SA was significantly low as compared to mean of AGW (203 ± 48 vs 254 ± 49 gm; P < 0.001)
RLDG, LLDG and LLSDG volumes by SA were compared to AGW