title: Increased percentage of microvessels but decreased density of large vessels in papillary carcinomas as compared to hot and cold thyroid nodules.
abstract: OBJECTIVE
  For thyroid tumors increased as well as decreased vessel densities have been reported. Because of different morphometric methods and specificities of previously used antibodies for small and large vessels our objective was to investigate and compare the density of large vessels and microvessels by different morphometric methods and antibodies in hot nodules(HN), cold nodules (CN), papillary carcinoma (PC) and Graves' disease (GD) to try to clarify some of these discrepancies.
  
  
  METHODS
  Tissue sections from 29 HN, 22 CN, 19 PC and 8 GD thyroids were stained with the antibodies for CD34 and alpha-SMA. A computerized image analysis was used to calculate the mean area of endothelium (mEA) and the mean endothelium to tumor epithelial nucleus area ratio (mE/N) in four hot spots and ten systematically selected fields.
  
  
  RESULTS
  We found a consistent increase of the CD34 stained percentage of microvessels in PC as compared to HN and CN determined by the hot spot analysis and systematic field analysis. This increased microvessel density in PC is of a similar magnitude as in GD, which is characterised by a prominent increase of vascularisation during its active disease stage. Our SMA staining results reveal a kind of mirror image of the CD34 staining results with higher vessel counts in the normal surrounding tissues as compared to HN, CN and PC.
  
  
  CONCLUSIONS
  The specific immunohistologic detection of microvessels with the CD34 antibody combined with their specific evaluation is able to clearly differentiate PCs from normal tissue, HN and CN.
authors.affiliation: 3rd Medical Department, Leipzig University, Leipzig, Germany.
authors.forename: S
authors.initials: S
authors.lastname: Sancak
authors.forename: A
authors.initials: A
authors.lastname: Hardt
authors.forename: A
authors.initials: A
authors.lastname: Ricken
authors.forename: S
authors.initials: S
authors.lastname: Lorenz
authors.forename: M
authors.initials: M
authors.lastname: Eszlinger
authors.forename: L S
authors.initials: LS
authors.lastname: Sen
authors.forename: B M
authors.initials: BM
authors.lastname: Güllüoglu
authors.forename: Z
authors.initials: Z
authors.lastname: Sever
authors.forename: F T
authors.initials: FT
authors.lastname: Eren
authors.forename: N S
authors.initials: NS
authors.lastname: Akalin
authors.forename: R
authors.initials: R
authors.lastname: Paschke
mesh_terms: D000199:Actins / Q000378:metabolism; D000236:Adenoma / Q000098:blood supply* / Q000378:metabolism; D000704:Analysis of Variance; D018952:Antigens, CD34 / Q000378:metabolism; D001808:Blood Vessels / Q000378:metabolism* / Q000473:pathology; D002291:Carcinoma, Papillary / Q000098:blood supply* / Q000378:metabolism; D006111:Graves Disease / Q000378:metabolism / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007150:Immunohistochemistry; D009389:Neovascularization, Pathologic / Q000378:metabolism; D013961:Thyroid Gland / Q000098:blood supply* / Q000378:metabolism / Q000473:pathology; D013964:Thyroid Neoplasms / Q000098:blood supply* / Q000378:metabolism
chemical_list: C541116:ACTA2 protein, human; D000199:Actins; D018952:Antigens, CD34