title: Predictive Significance of Tumor Grade Using 256-Slice CT Whole-Tumor Perfusion Imaging in Colorectal Adenocarcinoma.
abstract: OBJECTIVE
  The preoperative assessment of tumor grade has important clinical implications for the treatment and prognosis of patients with colorectal adenocarcinomas. The purpose of this study is to investigate the predictive significance of colorectal adenocarcinoma grade using 256-slice whole-tumor computed tomography (CT) perfusion.
  
  
  METHODS
  Fifty-three patients with proven colorectal adenocarcinomas were enrolled. All of them underwent 256-slice whole-tumor CT perfusion. They were divided into two different subgroups according to postoperative pathological results: low grade and high grade. The Kruskal-Wallis test or one-way analysis of variance was used for comparison of CT perfusion parameters between different tumor grades. Multivariant correlation between pathologic tumor stage, histologic tumor differentiation, and whole-tumor CT perfusion parameters was evaluated by Spearman rank correlation coefficient. According to receiver operating characteristic (ROC) curves, perfusion parameters including blood flow (BF), peak enhancement index (PEI), blood volume (BV), and time to peak (TTP) of 53 patients were analyzed, and the sensitivity, specificity, and accuracy of these parameters in predicting tumor grade were calculated.
  
  
  RESULTS
  There were significant differences in BF and TTP between low-grade and high-grade tumors. According to the ROC curve, BF and TTP were of diagnostic significance, with the area under the curve values of 0.828 and 0.736, respectively. The diagnostic threshold of BF was 32.12 mL/min/100 g and that of TTP was 18.10 seconds.
  
  
  CONCLUSIONS
  The CT perfusion parameters (BF, TTP) of first-pass 256-slice whole-tumor CT perfusion imaging can reflect tumor grade in colorectal adenocarcinoma.
authors.affiliation: Department of Radiology, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chaoyang District, Beijing 100029, China.
authors.forename: Yanyan
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Department of Radiology, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chaoyang District, Beijing 100029, China. Electronic address: stentorsun@gmail.com.
authors.forename: Hongliang
authors.initials: H
authors.lastname: Sun
authors.affiliation: Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China.
authors.forename: Aiping
authors.initials: A
authors.lastname: Song
authors.affiliation: Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Yang
authors.affiliation: Philips Healthcare, China.
authors.forename: Xiaomei
authors.initials: X
authors.lastname: Lu
authors.affiliation: Department of Radiology, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chaoyang District, Beijing 100029, China.
authors.forename: Wu
authors.initials: W
authors.lastname: Wang
mesh_terms: D000230:Adenocarcinoma / Q000000981:diagnostic imaging* / Q000473:pathology*; D000328:Adult; D000368:Aged; D019540:Area Under Curve; D015179:Colorectal Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D060787:Neoplasm Grading; D009367:Neoplasm Staging; D055420:Perfusion Imaging; D011379:Prognosis; D012372:ROC Curve; D018709:Statistics, Nonparametric
keywords: Colorectal adenocarcinoma; Perfusion imaging; Tomography; X-ray