title: Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study.
abstract: OBJECTIVE
  To evaluate the ability of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to differentiate malignant from benign adnexal tumours.
  
  
  METHODS
  Fifty-six women with 38 malignant and 18 benign tumours underwent MR imaging before surgery for complex adnexal masses. Microvascular parameters were extracted from high temporal resolution DCE-MRI series, using a pharmacokinetic model in the solid tissue of adnexal tumours. These parameters were tissue blood flow (F(T)), blood volume fraction (Vb), permeability-surface area product (PS), interstitial volume fraction (Ve), lag time (Dt) and area under the enhancing curve (rAUC). Area under the receiver operating curve (AUROC) was calculated as a descriptive tool to assess the overall discrimination of parameters.
  
  
  RESULTS
  Malignant tumours displayed higher F(T), Vb, rAUC and lower Ve than benign tumours (P < 0.0001, P = 0.0006, P = 0.04 and P = 0.0002, respectively). F(T) was the most relevant factor for discriminating malignant from benign tumours (AUROC = 0.86). Primary ovarian invasive tumours displayed higher F(T) and shorter Dt than borderline tumours. Malignant adnexal tumours with associated peritoneal carcinomatosis at surgery displayed a shorter Dt than those without peritoneal carcinomatosis at surgery (P = 0.01).
  
  
  CONCLUSIONS
  Quantitative DCE-MRI is a feasible and accurate technique to differentiate malignant from benign adnexal tumours and could potentially help oncologists with management decisions.
  
  
  CONCLUSIONS
  Quantitative DCE MR imaging allows accurate differentiation between malignant and benign tumours. Quantitative DCE MRI may help predict peritoneal carcinomatosis associated with ovarian tumors. Quantitative DCE MRI helps distinguish between invasive and borderline primary ovarian tumours.
authors: Department of Radiology, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France. isabelle.thomassin@tnn.aphp.fr
authors: Isabelle
authors: I
authors: Thomassin-Naggara
authors: Daniel
authors: D
authors: Balvay
authors: Emilie
authors: E
authors: Aubert
authors: Emile
authors: E
authors: Daraï
authors: Roman
authors: R
authors: Rouzier
authors: Charles A
authors: CA
authors: Cuenod
authors: Marc
authors: M
authors: Bazot
mesh_terms: D000291:Adnexal Diseases / Q000378:metabolism* / Q000473:pathology*; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D003287:Contrast Media / Q000493:pharmacokinetics; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008536:Meglumine / Q000493:pharmacokinetics*; D008657:Metabolic Clearance Rate; D008875:Middle Aged; D009942:Organometallic Compounds / Q000493:pharmacokinetics*; D010051:Ovarian Neoplasms / Q000378:metabolism* / Q000473:pathology*; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media; D009942:Organometallic Compounds; D008536:Meglumine; C072417:gadoterate meglumine