title: Feasibility study of CT perfusion imaging for prostate carcinoma.
abstract: OBJECTIVE
  The aim of this feasibility study was to obtain initial data with which to assess the efficiency of perfusion CT imaging (CTpI) and to compare this with magnetic resonance imaging (MRI) in the diagnosis of prostate carcinoma.
  
  
  METHODS
  This prospective study involved 25 patients with prostate carcinoma undergoing MRI and CTpI. All analyses were performed on T2-weighted images (T2WI), apparent diffusion coefficient (ADC) maps, diffusion-weighted images (DWI) and CTp images. We compared the performance of T2WI combined with DWI and CTp alone. The study was approved by the local ethics committee, and written informed consent was obtained from all patients.
  
  
  RESULTS
  Tumours were present in 87 areas according to the histopathological results. The diagnostic performance of the T2WI+DWI+CTpI combination was significantly better than that of T2WI alone for prostate carcinoma (P < 0.001). The diagnostic value of CTpI was similar to that of T2WI+DWI in combination. There were statistically significant differences in the blood flow and permeability surface values between prostate carcinoma and background prostate on CTp images.
  
  
  CONCLUSIONS
  CTp may be a valuable tool for detecting prostate carcinoma and may be preferred in cases where MRI is contraindicated. If this technique is combined with T2WI and DWI, its diagnostic value is enhanced.
  
  
  CONCLUSIONS
  Perfusion CT is a helpful technique for prostate carcinoma diagnosis. •Colour maps allow easy and rapid visual assessment of the functional changes. Colour maps of prostate carcinoma provide information about in vivo tumoral vascularity. CTp images may be added into routine radiological examinations. CTp provides guidance for histopathological correlation if biopsy is scheduled.
authors.affiliation: Department of Radiology, Muğla Sıtkı Koçman University, School of Medicine, Muğla, Turkey.
authors.forename: Nesat
authors.initials: N
authors.lastname: Cullu
authors.forename: Mecit
authors.initials: M
authors.lastname: Kantarci
authors.forename: Hayri
authors.initials: H
authors.lastname: Ogul
authors.forename: Senol
authors.initials: S
authors.lastname: Adanur
authors.forename: Aylin
authors.initials: A
authors.lastname: Okur
authors.forename: Erdem
authors.initials: E
authors.lastname: Koc
authors.forename: Berhan
authors.initials: B
authors.lastname: Pirimoglu
authors.forename: Leyla
authors.initials: L
authors.lastname: Karaca
authors.forename: Yesim
authors.initials: Y
authors.lastname: Kizrak
authors.forename: Ozkan
authors.initials: O
authors.lastname: Polat
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001706:Biopsy; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods; D005240:Feasibility Studies; D005500:Follow-Up Studies; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D009367:Neoplasm Staging / Q000379:methods*; D055420:Perfusion Imaging; D011446:Prospective Studies; D011467:Prostate / Q000000981:diagnostic imaging / Q000473:pathology; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D012372:ROC Curve