title: [Correlation between pathologic features and perfusion CT of renal cancer: a feasibility study].
abstract: OBJECTIVE
  The computerized tomography with perfusion technique (pCT) has proved to have some potentialities in the oncologic field as a possible tool to identify neoangiogenesis in vivo. The purpose of the present job is to test the correlations existing between perfusion data and pathologic features in the evaluation of vascularization in kidney cancer.
  
  
  METHODS
  6 patients with clinical diagnosis of renal tumor awaiting surgical treatment underwent preoperatively pCT scans. Axial images encompassing the greatest diameter of the cancer were compared with the respective histological sections.
  
  
  RESULTS
  A correlation between tumor histological subtype and perfusion index was observed and shown. Moreover, clear cell RCC of different Fuhrman grades showed statistically significant differences in perfusion values (T test). Specifically, high perfusion indexes were associated with high density of microvessels with abnormal architecture at the microscopic evaluation of tumor specimen. Conversely, lower perfusion index were detected in tumors with lower microvascular density.
  
  
  CONCLUSIONS
  pCT scans can provide significant data on tumor angiogenesis and, eventually, suggest tumor histological subtype. The possibility of identifying preoperatively tumor histotype can be of particular relevance in patients with small renal tumors, suitable for minimally-invasive surgery or active surveillance program.
authors.affiliation: Clinica Urologica, Università di Padova, Padova, Italy.
authors.forename: Francesca
authors.initials: F
authors.lastname: Gigli
authors.forename: Fabio
authors.initials: F
authors.lastname: Zattoni
authors.forename: Giulia
authors.initials: G
authors.lastname: Zamboni
authors.forename: Claudio
authors.initials: C
authors.lastname: Valotto
authors.forename: Livia
authors.initials: L
authors.lastname: Bernardin
authors.forename: Roberto Pozzi
authors.initials: RP
authors.lastname: Mucelli
authors.forename: Filiberto
authors.initials: F
authors.lastname: Zattoni
mesh_terms: D018249:Adenoma, Oxyphilic / Q000098:blood supply / Q000000981:diagnostic imaging / Q000473:pathology; D000328:Adult; D000368:Aged; D002292:Carcinoma, Renal Cell / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000473:pathology; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007680:Kidney Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000473:pathology; D008297:Male; D008833:Microcirculation; D008875:Middle Aged; D018579:Patient Selection; D055420:Perfusion Imaging; D012079:Renal Circulation; D014057:Tomography, X-Ray Computed / Q000379:methods*