Yonsei Med J.  2018 Jun;59(4):546-553. 10.3349/ymj.2018.59.4.546.

Estimation of Standard Liver Volume Using CT Volume, Body Composition, and Abdominal Geometry Measurements

• Yang X
• Yang JD
• Lee S
• Hwang HP
• Ahn S
• Yu HC
• You H

• KMID: 2410910
• DOI: http://doi.org/10.3349/ymj.2018.59.4.546

Abstract

PURPOSE
The present study developed formulas for estimation of standard liver volume (SLV) with high accuracy for the Korean population.
MATERIALS AND METHODS
SLV estimation formulas were established using gender-balanced and gender-unbalanced measurements of anthropometric variables, body composition variables, and abdominal geometry of healthy Koreans (n=790). Total liver volume excluding blood volume, was measured based on CT volumetry.
RESULTS
SLV estimation formulas as preferred in various conditions of data availability were suggested in the present study. The suggested SLV estimation formulas in the present study were found superior to existing formulas, with an increased accuracy of 4.0-217.5 mL for absolute error and 0.2-18.7% for percentage of absolute error.
CONCLUSION
SLV estimation formulas using gender-balanced measurements showed better performance than those using gender-unbalanced measurements. Inclusion of body composition and abdominal geometry variables contributed to improved performance of SLV estimation.

Keyword

Standard liver volume; body composition data; abdominal geometry data; gender-balanced regression; living donor liver transplantation

MeSH Terms

Blood Volume
Body Composition*
Liver*

Figure

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  Fig. 1 Classification of cases (n=790) into the muscularity group (in red) and non-muscularity group (in blue) according to the plot of SMM to BW using the linear support vector machines classification method. SMM, skeletal muscle mass; BW, body weight.

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  Fig. 2 Extracted liver for liver volumetry.

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  Fig. 3 Extraction of abdomen, subcutaneous fat, and visceral fat from the umbilicus CT image. (A) Extracted abdomen (red). (B) Extracted subcutaneous fat (green) and visceral fat (red).

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