title: [Significance and mechanism of MSCT perfusion scan on differentiation of NSCLC].
abstract: OBJECTIVE
  To determine the significance of MSCT perfusion scan on differentiation of NSCLC and to investigate its possible mechanisms.
  
  
  METHODS
  Forty four NSCLC patients underwent CT perfusion scan by MSCT. Among them, 22 cases were selected to detected the two-dimensional tumor microvascular architecture phenotype (2D-TMAP), the relationships between CT perfusion parameters (BF, BV, PEI, TIP), and the differentiation of NSCLC were analysed by using the correlation analysis and trend test. Spearman correlation analysis was used to study the relationships between CT perfusion parameters, differentiation, and 2D-TMAP.
  
  
  RESULTS
  The total BF, BV and PEI decreased with decreasing differentiation of NSCLC (P<0.05). The total PEI showed a positive correlation with the total MVD (P<0.05). There were negative correlations between the surrounding area BF, the total BF, BV, and PEI, the uncomplete lumen of the surrounding area MVD, and expression of PCNA, respectively (P<0.05). There were positive correlations between degree of differentiation and the uncomplete lumen of the surrounding area MVD (P<0.05). It was the same as degree of differentiation and expression of PCNA, VEGF, respectively. There were positive correlations between the uncomplete lumen of the surrounding area MVD and expression of VEGF, ephrinB2, EphB4, and PCNA, respectively (P<0.05).
  
  
  CONCLUSIONS
  Perfusion parameters reflect the difference of density of vassels with mature functional lumen. Careful evaluation of the differences of blood flow pattern in pulmonary space-occupying lesions by MSCT perfusion scan can be used to identify the degree of NSCLC differentiation.
authors: Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors: Jin-Kang
authors: JK
authors: Liu
authors: Cheng-Ping
authors: CP
authors: Hu
authors: Mo-Ling
authors: ML
authors: Zhou
authors: Hui
authors: H
authors: Zhou
authors: Zeng
authors: Z
authors: Xiong
authors: Yu
authors: Y
authors: Xia
authors: Wei
authors: W
authors: Chen
mesh_terms: D000328:Adult; D000368:Aged; D002289:Carcinoma, Non-Small-Cell Lung / Q000098:blood supply / Q000000981:diagnostic imaging / Q000473:pathology; D002454:Cell Differentiation; D005260:Female; D006801:Humans; D008168:Lung / Q000098:blood supply / Q000000981:diagnostic imaging / Q000473:pathology; D008175:Lung Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging / Q000473:pathology; D008297:Male; D055806:Microvessels / Q000000981:diagnostic imaging / Q000473:pathology; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging / Q000473:pathology; D010477:Perfusion; D036542:Tomography, Spiral Computed / Q000379:methods*; D042461:Vascular Endothelial Growth Factor A; D055815:Young Adult
chemical_list: D042461:Vascular Endothelial Growth Factor A