title: Quantifying tumor vascular heterogeneity with DCE-MRI in complex adnexal masses: A preliminary study.
abstract: To evaluate the value of quantifying dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) heterogeneity to characterize adnexal masses.
  
  
  
  Our database was retrospectively queried to identify all surgically proven adnexal masses characterized with a 1.5T DCE-MRI between January 1st 2008 and February 28th 2010 (n = 113 masses, including 52 benign, 11 borderline, and 50 invasive malignant tumors). The solid component of the adnexal mass was segmented. Quantitative analysis with a compartmental model was performed to calculate microvascular parameters, including tissue blood flow (FT), blood volume fraction (Vb), lag time (DAT), interstitial volume fraction (Ve), permeability-surface area product (PS), and relative area under curve (rAUC), were calculated. Then heterogeneity parameters were evaluated using the analysis of the evolution of the standard deviation (SD) of signal intensities on DCE-MRI series. The area under the receiver operating characteristic (AUROC) curve was calculated to assess the overall discrimination of parameters.
  
  
  
  Malignant tumors displayed higher FT, Vb, andrAUC and lower DATthan benign tumors (P = 0.01, P < 0.0001, and P < 0.0001, respectively). Invasive malignant tumors displayed lower VbandrAUC than borderline tumors (P < 0.01). After injection, whenever the heterogeneity parameter was considered, malignant tumors were more heterogeneous than benign tumors, invasive tumors were more heterogeneous than borderline ovarian tumors, and malignant tumors with carcinomatosis were more heterogeneous than tumors without carcinomatosis (P < 0.001). The most discriminant parameter was the SD during the 90 seconds after injection related to arterial input function (ΔSDEARLY/AIF) with an AUROC between 0.715 and 0.808.
  
  
  
  This study proposes heterogeneity parameters as a new tool with a potential for clinical application, given that the technique uses routine imaging sequences.
  
  
  
  3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1776-1785.
authors.affiliation: INSERM, UMR970, Parc HEGP Equipe 2, Imagerie de l'angiogenèse, Paris, France.|Sorbonne Universités, UPMC Univ Paris 06, IUC, Paris, France.|AP-HP, Hôpital Tenon, Department of Radiology, Paris, France.
authors.forename: Isabelle
authors.initials: I
authors.lastname: Thomassin-Naggara
authors.affiliation: INSERM, UMR970, Parc HEGP Equipe 2, Imagerie de l'angiogenèse, Paris, France.
authors.forename: Narimane
authors.initials: N
authors.lastname: Soualhi
authors.affiliation: INSERM, UMR970, Parc HEGP Equipe 2, Imagerie de l'angiogenèse, Paris, France.|Plateforme d'Imagerie du Petit Animal, Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.
authors.forename: Daniel
authors.initials: D
authors.lastname: Balvay
authors.affiliation: AP-HP, Hôpital Tenon, Department of Gynaecology and Obstetrics, Paris, France.
authors.forename: Emile
authors.initials: E
authors.lastname: Darai
authors.affiliation: INSERM, UMR970, Parc HEGP Equipe 2, Imagerie de l'angiogenèse, Paris, France.
authors.forename: Charles-André
authors.initials: CA
authors.lastname: Cuenod
mesh_terms: D000290:Adnexa Uteri / Q000098:blood supply / Q000000981:diagnostic imaging; D000291:Adnexal Diseases / Q000000981:diagnostic imaging*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003287:Contrast Media; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D010051:Ovarian Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging*; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D055815:Young Adult
chemical_list: D003287:Contrast Media
keywords: DCE-MRI; MRI; adnexal masses; heterogeneity; ovarian