title: Angiogenesis of renal cell carcinoma: perfusion CT findings.
abstract: OBJECTIVE
  To observe the perfusion CT findings of renal cell carcinoma (RCC) and prospectively correlate perfusion CT parameters with tumor MVD and VEGF expression.
  
  
  METHODS
  Dynamic contrast-enhanced multislice spiral CT was performed prospectively in 73 cases with histologically proven RCC (65 clear cell, 3 papillary, and 5 chromophobe). Blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface-area product (PS) of RCC and normal renal cortex were measured, respectively. The tumor MVD count and VEGF expression level were determined by immunohistochemistry with specific monoclonal antibodies.
  
  
  RESULTS
  There was significant difference between BF, BV, MTT, and PS of normal renal cortex (454.32 ± 110.90 mL/min/100 g, 23.53 ± 5.71 mL/100 g, 3.62 ± 1.38 s, 63.95 ± 18.85 mL/min/100 g) and RCC (261.96 ± 175.86 mL/min/100 g, 17.17 ± 8.34 mL/100 g, 7.08 ± 3.42 s, 25.07 ± 13.20 mL/min/100 g) (P < 0.01). BF and BV among RCC histologic subtypes were significantly different (P < 0.05), MTT and PS were not (P > 0.05). MVD (42.29 ± 21.00) of RCC is positively correlated with BF, BV, and PS (P < 0.01), not with MTT (P > 0.05). No relationship was found between the expression levels of VEGF and any perfusion CT parameter.
  
  
  CONCLUSIONS
  Perfusion CT is a feasible technique to assess tissue perfusion in patients with RCC. BV, BF, and PS correlate positively with MVD and may reflect angiogenesis of RCC.
authors.affiliation: Department of Diagnostic Radiology, Cancer Hospital and Institute, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. chenyan1972@sina.com
authors.forename: Yan
authors.initials: Y
authors.lastname: Chen
authors.forename: Jin
authors.initials: J
authors.lastname: Zhang
authors.forename: Jingrui
authors.initials: J
authors.lastname: Dai
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Feng
authors.forename: Haizhen
authors.initials: H
authors.lastname: Lu
authors.forename: Chunwu
authors.initials: C
authors.lastname: Zhou
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D014408:Biomarkers, Tumor / Q000378:metabolism; D002292:Carcinoma, Renal Cell / Q000000981:diagnostic imaging* / Q000378:metabolism; D003287:Contrast Media; D005260:Female; D006801:Humans; D007150:Immunohistochemistry; D007680:Kidney Neoplasms / Q000000981:diagnostic imaging* / Q000378:metabolism; D008297:Male; D008833:Microcirculation; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging* / Q000378:metabolism; D011446:Prospective Studies; D011857:Radiographic Image Interpretation, Computer-Assisted; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014283:Triiodobenzoic Acids; D042461:Vascular Endothelial Growth Factor A / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; D003287:Contrast Media; D014283:Triiodobenzoic Acids; D042461:Vascular Endothelial Growth Factor A; C054871:ioversol