Dynamic contrast-enhanced magnetic resonance imaging: A useful tool for characterizing ovarian epithelial tumors

• Published in: Journal of magnetic resonance imaging 2008-07, Vol.28 (1), p.111-120
• Main Authors: Thomassin-Naggara, Isabelle, Daraï, Emile, Cuenod, Charles A, Rouzier, Roman, Callard, Patrice, Bazot, Marc
• Format: Article
• Language: English
• Subjects: Carcinoma - diagnosis; Contrast Media; dynamic contrast-enhanced imaging perfusion; Female; functional imaging; Humans; Image Enhancement; magnetic resonance imaging; Magnetic Resonance Imaging - methods; Neoplasm Invasiveness; Ovarian Neoplasms - diagnosis; ovarian tumors
• ISSN: 1053-1807; 1522-2586
• DOI: 10.1002/jmri.21377

Purpose To evaluate the utility of dynamic contrast enhancement (DCE) MRI for distinguishing among benign, borderline and invasive epithelial ovarian tumors. Materials and Methods We analyzed preoperative MRI studies of 37 patients with ovarian epithelial tumors (10 benign, 11 borderline, and 16 invasive). A DCE‐MRI sequence was acquired and regions of interest (ROIs) were drawn in the ovarian tumors and adjacent myometrium. A total of three patterns of enhancement were defined. Dynamic data were parameterized using mathematical models that included the enhancement amplitude (EA), the time of half rising (THR), and the maximal slope (MS). Using myometrium as the internal reference, ratios of EA (EAr), THR (THRr), MS (MSr), and initial area under the curve for 60 seconds after injection (IAUC60 ratio) were determined. Results Morphological criteria such as septa, papillary projection, solid portion, and T2‐weighted MR signal intensity of solid tissue were useful for discriminating invasive from noninvasive ovarian tumors (P = 0.01, P = 0.02, P = 0.002, and P < 0.0001 respectively) but not for discriminating benign from borderline tumors. Curve type 3 was specific for invasive ovarian tumors. EAr, MSr, and IAUC60 ratio were higher for invasive than for benign (P < 0.0001) and borderline tumors (P = 0.005, P = 0.002, and P = 0.001, respectively). The IAU60 ratio was the most relevant factor for discriminating benign from borderline and invasive tumors. MSr and IAU60 ratio could be combined to generate a decision tree with 81% accuracy. Conclusion DCE‐MRI is a useful tool for characterizing epithelial ovarian tumors. J. Magn. Reson. Imaging 2008;28:111–120. © 2008 Wiley‐Liss, Inc.