title: Vascular permeability determined using multi-slice spiral CT perfusion can predict response to chemoradiotherapy in patients with advanced cervical squamous cell carcinoma .
abstract: OBJECTIVE
  This study aims to use multi-slice spiral computed tomography (CT) perfusion to investigate the predictive value of vascular permeability in determining the response of patients with advanced cervical squamous-cell carcinoma (CSCC) to chemoradiotherapy treatment.
  
  
  METHODS
  196 patients with advanced CSCC were recruited. Multi-slice spiral CT perfusion was performed before chemoradiotherapy, and perfusion parameters, such as blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface (PS), were obtained. After treatment, patients were divided into a sensitive group and a resistant group. Receiver operating characteristic (ROC) analysis was performed to evaluate the predictive value of the perfusion parameters. The association of the perfusion parameters with the response of CSCC to chemoradiotherapy was analyzed using logistic regression analysis.
  
  
  RESULTS
  Lesion size and treatment duration were remarkably different between the sensitive (n = 101) and resistant groups (n = 95) (both p < 0.05). Before chemoradiotherapy, the sensitive group had a significantly higher BV and PS than the resistant group (both p < 0.05). The logistic regression analysis showed that lesion size, BV, and PS are associated with the response of CSCC to chemoradiotherapy (all p < 0.05). The sensitivity and the specificity of BV and PS were 65.3% and 83.2% and 75.2% and 72.6%, respectively.
  
  
  CONCLUSIONS
  BV and PS values determined using CT perfusion correlate with and predict the response to chemoradiotherapy in the treatment of advanced CSCC. Patients with smaller lesions require shorter periods of treatment. .
authors.forename: Jie
authors.initials: J
authors.lastname: Liu
authors.forename: Hua
authors.initials: H
authors.lastname: Fan
authors.forename: Guang-Ping
authors.initials: GP
authors.lastname: Qiu
mesh_terms: D000328:Adult; D000368:Aged; D019540:Area Under Curve; D001783:Blood Flow Velocity; D002199:Capillary Permeability; D002294:Carcinoma, Squamous Cell / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000628:therapy*; D059248:Chemoradiotherapy; D019008:Drug Resistance, Neoplasm; D005260:Female; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D061330:Multidetector Computed Tomography; D015999:Multivariate Analysis; D055420:Perfusion Imaging / Q000379:methods*; D011237:Predictive Value of Tests; D012372:ROC Curve; D011836:Radiation Tolerance; D012039:Regional Blood Flow; D016896:Treatment Outcome; D047368:Tumor Burden; D002583:Uterine Cervical Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000628:therapy*