title: Morphometric analysis of renal vessels. Advantage of the multisector area approach to cross-sections.
abstract: OBJECTIVE
  To determine the most accurate morphometric approach to overcoming the obstacles of limited number, angle of section and irregular contours of vascular structures in analyzing vascular sections of renal biopsies.
  
  
  METHODS
  The luminal area of 451 cortical arterioles in 65 Masson-trichrome-stained renal sections was assessed with a computer-assisted imaging system connected to a Leica DMR microscope (Mikroskopie und Systeme GmbH, Wetzlar, Germany). The luminal area measured by the imaging system was used as the gold standard, against which three mathematical sector approaches and one classical approach were evaluated. The accuracy of these approaches was evaluated by means of the relative deviation from the measured value and of the degree of overestimation or underestimation. Intraobserver and interobserver variability were determined for the most accurate mathematical approach.
  
  
  RESULTS
  As compared to measured luminal area, the sector elliptical approach yielded the lowest relative deviation (13.4 +/- 12.5%), without significant overestimation or underestimation (-0.6 +/- 18.3%). The intraobserver and interobserver correlation coefficients for this method were 82.3% and 86.5%, respectively.
  
  
  CONCLUSIONS
  The sector elliptical approach is the most accurate mathematical approach to vascular sections in renal biopsies.
authors.affiliation: Department of Nephrology, University of Antwerp, Belgium.
authors.forename: A T
authors.initials: AT
authors.lastname: Woestenburg
authors.forename: P P
authors.initials: PP
authors.lastname: Mensch
authors.forename: J L
authors.initials: JL
authors.lastname: Bosmans
authors.forename: M M
authors.initials: MM
authors.lastname: Elseviers
authors.forename: G A
authors.initials: GA
authors.lastname: Verpooten
authors.forename: M E
authors.initials: ME
authors.lastname: De Broe
mesh_terms: D001160:Arterioles / Q000033:anatomy & histology; D001707:Biopsy, Needle; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007668:Kidney / Q000098:blood supply* / Q000473:pathology; D008962:Models, Theoretical; D012077:Renal Artery / Q000033:anatomy & histology