title: Perfusion computed tomography evaluation of angiogenesis in liver cancer.
abstract: OBJECTIVE
  To investigate the value of computed tomography (CT) perfusion imaging for assessment of angiogenesis in liver cancer.
  
  
  METHODS
  Twenty-one patients with histologically proven liver cancer underwent CT perfusion examination. We compared the following perfusion parameters in the tumour area versus the non-tumour area: total blood flow (TBF), hepatic arterial perfusion (HAP), hepatic portal perfusion (HPP) and hepatic arterial perfusion index (HAPI). Slices of postoperative specimen were stained with haematoxylin-eosin and anti-CD34 immunohistochemistry. The slices were evaluated with emphasis on the CD34-positive neovasculature in the tumour parenchyma. Tumour microvascular density (MVD) was calculated according to the Weidner method. Pearson correlation was used to detect correlations between tumour MVD and tumour perfusion parameters.
  
  
  RESULTS
  TBF and HPP in the tumour area were lower than in the non-tumour area (P < 0.05). HAP and HAPI in the tumour area were higher than those of the non-tumour area (P < 0.05). TBF and HAP in the tumour area correlated with MVD in the tumour (P < 0.05), with correlation coefficients of 0.849 and 0.829, respectively.
  
  
  CONCLUSIONS
  CT perfusion imaging can quantitatively assess the blood supply and its distribution in liver cancer. TBF or HAP may be a useful parameter in assessing angiogenesis of liver cancer.
authors.affiliation: Department of Clinical Pain, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Xuanwu District, Beijing, People's Republic of China.
authors.forename: Han Feng
authors.initials: HF
authors.lastname: Yang
authors.forename: Yong
authors.initials: Y
authors.lastname: Du
authors.forename: Jia Xiang
authors.initials: JX
authors.lastname: Ni
authors.forename: Xiang Ping
authors.initials: XP
authors.lastname: Zhou
authors.forename: Jin Dong
authors.initials: JD
authors.lastname: Li
authors.forename: Qing
authors.initials: Q
authors.lastname: Zhang
authors.forename: Xiao Xue
authors.initials: XX
authors.lastname: Xu
authors.forename: Yang
authors.initials: Y
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008113:Liver Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging*; D055420:Perfusion Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*