title: Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?
abstract: OBJECTIVE
  To find out any correlation between dynamic contrast-enhanced (DCE) model-based parameters and model-free parameters, and evaluate correlations between perfusion parameters with histologic prognostic factors.
  
  
  METHODS
  Model-based parameters (Ktrans, Kep and Ve) of 102 invasive ductal carcinomas were obtained using DCE-MRI and post-processing software. Correlations between model-based and model-free parameters and between perfusion parameters and histologic prognostic factors were analysed.
  
  
  RESULTS
  Mean Kep was significantly higher in cancers showing initial rapid enhancement (P = 0.002) and a delayed washout pattern (P = 0.001). Ve was significantly lower in cancers showing a delayed washout pattern (P = 0.015). Kep significantly correlated with time to peak enhancement (TTP) (ρ = -0.33, P < 0.001) and washout slope (ρ = 0.39, P = 0.002). Ve was significantly correlated with TTP (ρ = 0.33, P = 0.002). Mean Kep was higher in tumours with high nuclear grade (P = 0.017). Mean Ve was lower in tumours with high histologic grade (P = 0.005) and in tumours with negative oestrogen receptor status (P = 0.047). TTP was shorter in tumours with negative oestrogen receptor status (P = 0.037).
  
  
  CONCLUSIONS
  We could acquire general information about the tumour vascular physiology, interstitial space volume and pathologic prognostic factors by analyzing time-signal intensity curve without a complicated acquisition process for the model-based parameters.
  
  
  CONCLUSIONS
  • Kep mainly affected the initial and delayed curve pattern in time-signal intensity curve. • There is significant correlation between model-based and model-free parameters. • We acquired information about tumour vascular physiology, interstitial space volume and prognostic factors.
authors.affiliation: Department of Radiology, Ajou University School of Medicine, San 5, Woncheon-dong, Yongtong-gu, Suwon, Gyeonggi-do, 442-749, South Korea.
authors.forename: Boram
authors.initials: B
authors.lastname: Yi
authors.forename: Doo Kyoung
authors.initials: DK
authors.lastname: Kang
authors.forename: Dukyong
authors.initials: D
authors.lastname: Yoon
authors.forename: Yong Sik
authors.initials: YS
authors.lastname: Jung
authors.forename: Ku Sang
authors.initials: KS
authors.lastname: Kim
authors.forename: Hyunee
authors.initials: H
authors.lastname: Yim
authors.forename: Tae Hee
authors.initials: TH
authors.lastname: Kim
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000098:blood supply* / Q000473:pathology; D018270:Carcinoma, Ductal, Breast / Q000098:blood supply* / Q000473:pathology; D003287:Contrast Media / Q000493:pharmacokinetics; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D009942:Organometallic Compounds / Q000493:pharmacokinetics; D055420:Perfusion Imaging; D012189:Retrospective Studies
chemical_list: D003287:Contrast Media; D009942:Organometallic Compounds; C090600:gadobutrol