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Changes in liver volume from birth to adulthood: a meta-analysis.

Trevor N Johnson1, Geoffrey T Tucker, M Stuart Tanner

  • 1Simcyp Limited, Blades Enterprise Centre, John Street, Sheffield S2 4SU, UK. t.johnson@simcyp.com

Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
|November 30, 2005
PubMed
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A new general equation, LV = 0.722 * BSA(1.176), accurately estimates liver volume (LV) in children and young adults. This model integrates diverse data, outperforming existing equations for predicting liver size across various populations.

Area of Science:

  • Pediatric Medicine
  • Medical Imaging
  • Biostatistics

Background:

  • Existing equations for estimating liver volume (LV) are population-specific and method-dependent.
  • A comprehensive approach is needed to develop a universal equation for pediatric liver volume estimation.

Purpose of the Study:

  • To integrate all published pediatric data to define a general equation for estimating liver volume (LV) from birth onward.
  • To compare the accuracy of various regression models and existing literature equations for predicting pediatric LV.

Main Methods:

  • Collated data from 5,036 subjects (birth to 18 years).
  • Developed simple and multiple regression equations, including BSA, weight, height, age, gender, race, methodology, and publication year as covariates.
  • Selected the most parsimonious equation (LV = 0.722 * BSA^1.176) based on AIC, precision, bias, and visual inspection.

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Main Results:

  • The selected general equation is LV = 0.722 * BSA(1.176).
  • Japanese individuals have up to 19% larger livers than Caucasians for a given body weight.
  • Autopsy measurements yielded higher estimates (up to 8%) compared to radiographic and ultrasonic methods.

Conclusions:

  • A more general model for predicting liver volume in pediatric populations and young adults has been developed.
  • The developed equation demonstrates superior precision and accuracy compared to existing adult models.
  • Factors like gender and publication year did not significantly influence LV estimation.