title: Utility of conventional and diffusion-weighted MRI features in distinguishing benign from malignant endometrial lesions.
abstract: OBJECTIVE
  To evaluate the utility of conventional MRI and diffusion-weighted imaging (DWI) in differentiating benign from malignant endometrial lesions.
  
  
  METHODS
  52 patients with an abnormal endometrium on MRI and subsequent pathologic evaluation (35 benign, 17 malignant) were included. Two radiologists (R1, R2) independently evaluated endometrial abnormalities for characteristics on conventional MRI and DWI. Findings were assessed using unpaired t-tests, Fisher's exact test, and multi-variate logistic regression.
  
  
  RESULTS
  Findings with significantly higher frequency in malignant abnormalities were: presence of irregularly marginated endometrial lesion (R1: 71% vs. 34%, R2: 94% vs. 26%), irregular endo-myometrial interface on T2WI (R1: 77% vs. 26%, R2: 94% vs. 29%), irregular endo-myometrial interface on post-contrast T1WI (R1: 82% vs. 23%, R2: 88% vs. 20%), increased signal on high b-value DWI (R1: 82% vs. 20%, R2: 94% vs. 20%), decreased ADC (R1: 88 vs. 40%, R2: 94% vs. 20%) (all p<0.001, both readers). Endometrial thickness, presence of any focal endometrial lesion regardless of contour, diameter of endometrial lesion, endometrial heterogeneity on T2WI, decreased T2 signal, and increased endometrial enhancement, failed to show significant differences between groups (all p≥0.159, both readers). At multivariate analysis, for R1, irregular endo-myometrial interface on post-contrast T1WI and increased DWI signal were significant independent predictors of malignancy (AUC=0.89); for R2, only increased DWI signal was a significant independent predictor of malignancy (AUC=0.87).
  
  
  CONCLUSIONS
  Abnormal signal on DWI and irregularity of either the endo-myometrial interface or focal endometrial lesion were the most helpful MRI features in differentiating benign from malignant endometrial abnormalities.
authors.affiliation: Department of Radiology, NYU Langone Medical Center, 660 First Avenue, New York, NY 10016, United States. Electronic address: Andrea.Kierans@nyumc.org.
authors.forename: Andrea S
authors.initials: AS
authors.lastname: Kierans
authors.affiliation: Department of Radiology, NYU Langone Medical Center, 660 First Avenue, New York, NY 10016, United States. Electronic address: Genevieve.Bennett@nyumc.org.
authors.forename: Genevieve L
authors.initials: GL
authors.lastname: Bennett
authors.affiliation: Department of Radiology, NYU Langone Medical Center, 660 First Avenue, New York, NY 10016, United States. Electronic address: haghighi549@gmail.com.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Haghighi
authors.affiliation: Department of Radiology, NYU Langone Medical Center, 660 First Avenue, New York, NY 10016, United States. Electronic address: Andrew.Rosenkrantz@nyumc.org.
authors.forename: Andrew B
authors.initials: AB
authors.lastname: Rosenkrantz
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D016889:Endometrial Neoplasms / Q000473:pathology*; D005260:Female; D006801:Humans; D008875:Middle Aged; D015588:Observer Variation; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Diffusion-weighted; Endometrial abnormality; MRI