title: Unbiased estimation of the liver volume by the Cavalieri principle using magnetic resonance images.
abstract: OBJECTIVE
  It is often useful to know the exact volume of the liver, such as in monitoring the effects of a disease, treatment, dieting regime, training program or surgical application. Some non-invasive methodologies have been previously described which estimate the volume of the liver. However, these preliminary techniques need special software or skilled performers and they are not ideal for daily use in clinical practice. Here, we describe a simple, accurate and practical technique for estimating liver volume without changing the routine magnetic resonance imaging scanning procedure.
  
  
  METHODS
  In this study, five normal livers, obtained from cadavers, were scanned by 0.5 T MR machine, in horizontal and sagittal planes. The consecutive sections, in 10 mm thickness, were used to estimate the whole volume of the liver by means of the Cavalieri principle. The volume estimations were done by three different performers to evaluate the reproducibility.
  
  
  RESULTS
  There are no statistical differences between the performers and real liver volumes (P > 0.05). There is also high correlation between the estimates of performers and the real liver volume (r = 0.993).
  
  
  CONCLUSIONS
  We conclude that the combination of MR imaging with the Cavalieri principle is a non-invasive, direct and unbiased technique that can be safely applied to estimate liver volume with a very moderate workload per individual.
authors.affiliation: Department of Anatomy, Medical School, Ondokuz Mayis University, 55139 Samsun, Turkey. bsahin@omu.edu.tr
authors.forename: Bünyamin
authors.initials: B
authors.lastname: Sahin
authors.forename: Mehmet
authors.initials: M
authors.lastname: Emirzeoglu
authors.forename: Ahmet
authors.initials: A
authors.lastname: Uzun
authors.forename: Lütfi
authors.initials: L
authors.lastname: Incesu
authors.forename: Yüksel
authors.initials: Y
authors.lastname: Bek
authors.forename: Sait
authors.initials: S
authors.lastname: Bilgic
authors.forename: Süleyman
authors.initials: S
authors.lastname: Kaplan
mesh_terms: D002102:Cadaver; D006801:Humans; D008099:Liver / Q000033:anatomy & histology*; D008279:Magnetic Resonance Imaging / Q000379:methods