title: Preoperative evaluation of living kidney donors with multidetector computed tomography angiography.
abstract: OBJECTIVE
  The purpose of this study was to determinate the accuracy of multidetector computed tomography (MDCT) angiography for imaging evaluation of renal anatomic variants among potential living renal donors for surgical planning.
  
  
  METHODS
  Two hundred twenty-three living kidney donors underwent MDCT angiography (MDCTA) in our institution over the last 2 years. The examination was performed with a 4-detector scanner, including scanning before and after power injection of nonionic contrast material during the arterial, nephrographic, and excretory phases. Scans were reconstructed for three-dimensional (3D) images using MIP, MPR, VRT, and CPR techniques.
  
  
  RESULTS
  Arterial variants, including supernumerary renal arteries, were present in 140 subjects: 11 presented luminal stenosis; 10 had calcifications within the vessel wall; 3 had renal artery aneurysms; 2 had obstructions; and 1 had angulation of the renal artery. Calcifications were associated with luminal stenosis (4 subjects) or no pathology (6 subjects). Venous variants were present in 4 subjects, including 3 retroaortic renal veins and 1 left renal vein draining into the retrohepatic portion of the IVC. Incidental findings were 3 renal infarcts.
  
  
  CONCLUSIONS
  MDCTA and urography are a minimally invasive, fast method to detect and classify a variety of anatomic anomalies among potential living renal donors relevant to surgical planning.
authors.affiliation: Department of Computed and Magnetic Resonance Tomography, General Hospital "G. Papanikolaou,", Thessaloniki, Greece.
authors.forename: A
authors.initials: A
authors.lastname: Petridis
authors.forename: A
authors.initials: A
authors.lastname: Papachristodoulou
authors.forename: T
authors.initials: T
authors.lastname: Geroukis
authors.forename: I
authors.initials: I
authors.lastname: Fouzas
authors.forename: V
authors.initials: V
authors.lastname: Papanikolaou
authors.forename: P
authors.initials: P
authors.lastname: Palladas
mesh_terms: D003287:Contrast Media; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007668:Kidney / Q000000981:diagnostic imaging; D019520:Living Donors / Q000706:statistics & numerical data*; D018579:Patient Selection; D012077:Renal Artery / Q000002:abnormalities / Q000000981:diagnostic imaging; D012082:Renal Veins / Q000002:abnormalities / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media