title: Preoperative helical computerized tomography estimation of donor liver volume.
abstract: BACKGROUND
  The purpose of this study was to evaluate the accuracy of spiral computed tomography (CT) and 3-D imaging models in measuring total and segmental liver volume in potential living donors.
  
  
  METHODS
  A prospective study was undertaken to assess the correlation between the volumes of potential donor livers determined via helical CT and the actual volumes measured during operation in 150 donor candidates. Left-lateral segment (S2,3) or left-lobe (S2,3,4) transplantation was performed in 36 cases with 96 right-lobe liver transplants (S5,6,7,8). Ten donor candidates were refused owing to inadequate liver volumes, and 8 for other reasons.
  
  
  RESULTS
  The regression analysis model showed a significant correlation between the preoperative CT estimates of graft volume and intraoperative weight measurement of harvested grafts in living liver donors (F: 5525.37; P < .05); 97.7% of changes in CT volume were explained by differences in graft mass (R2: 0.977).
  
  
  CONCLUSIONS
  Preoperative estimation of segmental volumes of the donor liver is necessary to avoid donor-recipient size disparity, thereby preventing hepatic failure of donors after harvesting. It has a major impact on donor selection and type of surgical management. The accuracy of helical CT was high to determine total and segmental liver volumes.
authors.affiliation: Ege Universitesi Tip Fakultesi, Genel Cerrahi Anabilim Dali Bornova, Izmir, Turkey.
authors.forename: S
authors.initials: S
authors.lastname: Orguc
authors.forename: U
authors.initials: U
authors.lastname: Aydin
authors.forename: O V
authors.initials: OV
authors.lastname: Unalp
authors.forename: O
authors.initials: O
authors.lastname: Kirdok
authors.forename: U
authors.initials: U
authors.lastname: Gurgan
authors.forename: M
authors.initials: M
authors.lastname: Kazimi
authors.forename: M
authors.initials: M
authors.lastname: Ozsoy
authors.forename: M
authors.initials: M
authors.lastname: Kilic
authors.forename: M
authors.initials: M
authors.lastname: Zeytunlu
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted; D008099:Liver / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D019520:Living Donors; D012044:Regression Analysis; D012189:Retrospective Studies; D036542:Tomography, Spiral Computed