title: Esophageal squamous cell carcinoma: assessing tumor angiogenesis using multi-slice CT perfusion imaging.
abstract: OBJECTIVE
  The purpose of this study was to investigate the correlation between multi-slice computed tomographic perfusion imaging (CTPI) parameters and immunohistologic markers of angiogenesis in esophageal squamous cell carcinoma (ESCC).
  
  
  METHODS
  Fifty patients with histologically proven esophageal squamous cell carcinoma were enrolled in this study. All subjects underwent multi-slice CT perfusion scan. The hemodynamic parameters of vascular tumor, including blood volume (BV), blood flow (BF), mean transit time (MTT) and permeability surface (PS) were generated. All the ESCC specimens were stained immunohistochemically to identify CD31 for quantification of microvessel density (MVD). CTPI parameters were correlated with MVD by using Pearson correlation analysis.
  
  
  RESULTS
  The value of CT perfusion parameters of ESCC were as follows: BF 116.71 ± 47.59 ml/100 g/min, BV 6.74 ± 2.70 ml/100 g, MTT 6.42 ± 2.84 s, PS 13.82 ± 6.25 ml/100 g/min. The mean MVD of all 50 tumor specimens was 34.44 ± 19.75. The PS values were significantly higher in ESCC patients with involvement of lymph node than those without involvement of lymph node (p < 0.01). Blood volume and permeability surface were positively correlated with MVD (p < 0.01), whereas no significant correlation was observed between MVD and BF or between MVD and MTT.
  
  
  CONCLUSIONS
  Blood volume and permeability surface were positively correlated with MVD. CTPI could reflect the angiogenesis in ESCC.
authors.affiliation: Department of Radiology, Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450000 Henan, People's Republic of China. songtaokf@126.com
authors.forename: Tao
authors.initials: T
authors.lastname: Song
authors.forename: Yu-Guang
authors.initials: YG
authors.lastname: Shen
authors.forename: Na-Na
authors.initials: NN
authors.lastname: Jiao
authors.forename: Xin-Hui
authors.initials: XH
authors.lastname: Li
authors.forename: Hong-Tao
authors.initials: HT
authors.lastname: Hu
authors.forename: Jin-Rong
authors.initials: JR
authors.lastname: Qu
authors.forename: Xue-Jun
authors.initials: XJ
authors.lastname: Chen
authors.forename: Wen
authors.initials: W
authors.lastname: Feng
authors.forename: Xun
authors.initials: X
authors.lastname: Zhang
authors.forename: Hai-Liang
authors.initials: HL
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002294:Carcinoma, Squamous Cell / Q000000981:diagnostic imaging* / Q000473:pathology; D003287:Contrast Media; D004938:Esophageal Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D005260:Female; D006801:Humans; D008297:Male; D055806:Microvessels / Q000000981:diagnostic imaging; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed; D014283:Triiodobenzoic Acids
chemical_list: D003287:Contrast Media; D014283:Triiodobenzoic Acids; C054871:ioversol