title: [Application of 64MDCT multislice perfusion imaging in colorectal carcinoma].
abstract: OBJECTIVE
  To study the correlation of time-density curves (TDC), parameters revealed by 64-multidetector-row CT (64MDCT) perfusion imaging with clinicopathological factors (staging, serosal invasion, lymph node metastasis, distant metastasis and CEA) in colorectal carcinoma (CRC).
  
  
  METHODS
  64 MDCT perfusion imaging was performed in 33 patients with pathologically verified CRC. TDC was created from the region of interest (ROI) drawn over the tumor, target artery and vein by 64MDCT with perfusion functional software. The parameters of individual perfusion maps included blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability-surface area product (PS). Tumors were staged according to TMN classification. TDC was classified according to their shapes. The correlation between CT perfusion parameters and clinicopathological factors was studied.
  
  
  RESULTS
  TDC of 64MDCT perfusion imaging could be classified into five types. TDC in different stages could demonstrate one or more types of the five types. There was no significant difference of CT perfusion parameters among different stages. BV and MTT were significantly higher in the patients with serosal invasion than in those without serosal invasion (t=-2.63,-2.24, P=0.0137, 0.0331, respectively). BV was significantly correlated with tumor size (r=0.41, P=0.02). BF and PS were not correlated with staging, serosal invasion, lymph node metastasis, distant place metastasis and CEA (all P>0.05).
  
  
  CONCLUSIONS
  64MDCT multislice perfusion imaging can reveal the blood perfusion of CRC and has potential value of clinical application.
authors.affiliation: Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
authors.forename: Shi-ting
authors.initials: ST
authors.lastname: Feng
authors.forename: Can-hui
authors.initials: CH
authors.lastname: Sun
authors.forename: Zhen-peng
authors.initials: ZP
authors.lastname: Peng
authors.forename: Huan-yi
authors.initials: HY
authors.lastname: Guo
authors.forename: Zi-ping
authors.initials: ZP
authors.lastname: Li
authors.forename: Quan-fei
authors.initials: QF
authors.lastname: Meng
mesh_terms: D000328:Adult; D000368:Aged; D015179:Colorectal Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D008207:Lymphatic Metastasis; D008297:Male; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D055420:Perfusion Imaging; D012039:Regional Blood Flow; D036542:Tomography, Spiral Computed / Q000379:methods*