title: The Combination of Diffusion- and T2-Weighted Imaging in Predicting Deep Myometrial Invasion of Endometrial Cancer: A Systematic Review and Meta-Analysis.
abstract: OBJECTIVE
  The aim of this study was to explore the diagnostic difference among the combination of diffusion-weighted imaging (DWI) and T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in predicting deep myometrial invasion of endometrial cancer.
  
  
  METHODS
  A structured search was conducted to identify published studies between January 2005 and April 2014, which assessed depth of myometrial invasion in endometrial cancer by using DCE-MRI or DWI or DWI-T2WI.
  
  
  RESULTS
  A total of 15 studies were included. Significant difference was found between DWI-T2WI and DWI in pooled specificity, and also in comparison between DCE-MRI and DWI-T2WI (P < 0.05). In summary, receiver operating characteristic analysis, area under the curve for DWI-T2WI, DWI, and DCE-MRI were 0.94, 0.90, and 0.93, respectively.
  
  
  CONCLUSIONS
  Diffusion-weighted imaging-T2WI can improve diagnostic performance in comparison with DWI alone. Meanwhile, DWI-T2WI performs better than DCE-MRI in predicting myometrial invasion of endometrial cancer. It may be an alternative for DCE-MRI in presurgical staging of endometrial cancer.
authors: From the *Department of Radiology, the First Affiliated Hospital, †Department of Radiology, the Second Affiliated Hospital, Xi'an Jiaotong University; and ‡Unit for Evidence-Based Medicine, Department of Anatomy & K.K. Leung Brain Research Centre, Preclinical School of Medicine, Fourth Military Medical University, Xi'an, Shaanxi, People's Republic of China.
authors: Lei
authors: L
authors: Deng
authors: Qiu-ping
authors: QP
authors: Wang
authors: Xin
authors: X
authors: Chen
authors: Xiao-yi
authors: XY
authors: Duan
authors: Wen
authors: W
authors: Wang
authors: You-min
authors: YM
authors: Guo
mesh_terms: D003287:Contrast Media; D038524:Diffusion Magnetic Resonance Imaging; D016889:Endometrial Neoplasms / Q000473:pathology*; D005260:Female; D006801:Humans; D007089:Image Enhancement; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009361:Neoplasm Invasiveness; D011237:Predictive Value of Tests
chemical_list: D003287:Contrast Media