title: Computerized CT-based 3D visualization technique in living related liver transplantation.
abstract: BACKGROUND
  For living donor liver transplantation (LDLT) accurate diagnostic workup is essential. Multiple imaging approaches are currently used. Problems arise in the assessment of vascular and bile duct anatomy, liver graft volume, and vascular territories involved. A 3D visualization system that improves anatomic assessment, allows interactive surgery planning, and acts as an intraoperative guide with enhanced precision is required. Refinements in computed tomography (CT) technology with the introduction of multidetector-row CT scanners and implementation of mathematical methods on computerized digital data has enabled CT-based 3D visualizations.
  
  
  METHODS
  Sixteen LDLT candidates and three LDLT recipients were assessed by multislice CT examination. Image processing of the digital raw data for 3D visualization included segmentation and calculation of center lines. A hierarchical mathematical model representing the vascular and biliary tree was created. This allowed calculation of individual vascular territories.
  
  
  RESULTS
  3D CT-based visualization in LDLT facilitates diagnostic workup with high accuracy for analyses of vascular and bile duct variants, volumetry, and assessment of the optimal surgical splitting line of the living donor liver. Resultant areas of either arterial devascularization or venous congestion can be displayed and quantified preoperatively. The diagnostic method is of major impact on patient selection and directly influences intraoperative surgical guidance. The currently practiced "multiple imaging approach" approach, especially with regard to invasive diagnostics, can be avoided in the future.
authors.affiliation: Department of Visceral-, Transplantation-, Vascular- and Thoracic Surgery, University of Leipzig, Leipzig, Germany. dr.jens.harms@gmx.de
authors.forename: J
authors.initials: J
authors.lastname: Harms
authors.forename: M
authors.initials: M
authors.lastname: Bartels
authors.forename: H
authors.initials: H
authors.lastname: Bourquain
authors.forename: H O
authors.initials: HO
authors.lastname: Peitgen
authors.forename: T
authors.initials: T
authors.lastname: Schulz
authors.forename: T
authors.initials: T
authors.lastname: Kahn
authors.forename: J
authors.initials: J
authors.lastname: Hauss
authors.forename: J
authors.initials: J
authors.lastname: Fangmann
mesh_terms: D005190:Family; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007223:Infant; D008099:Liver / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D016031:Liver Transplantation / Q000379:methods*; D019520:Living Donors; D016343:Monitoring, Intraoperative / Q000379:methods*; D009929:Organ Size; D014057:Tomography, X-Ray Computed