Premium
Dynamic contrast‐enhanced magnetic resonance imaging: A useful tool for characterizing ovarian epithelial tumors
Author(s) -
ThomassinNaggara Isabelle,
Daraï Emile,
Cuenod Charles A,
Rouzier Roman,
Callard Patrice,
Bazot Marc
Publication year - 2008
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21377
Subject(s) - magnetic resonance imaging , medicine , dynamic contrast enhanced mri , dynamic contrast , myometrium , nuclear medicine , radiology , pathology , uterus
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 (IAUC 60 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 IAUC 60 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 IAU 60 ratio was the most relevant factor for discriminating benign from borderline and invasive tumors. MSr and IAU 60 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.