title: Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models.
abstract: To evaluate the utility of histogram analysis of monoexponential, biexponential, and stretched-exponential models to a dualistic model of epithelial ovarian cancer (EOC).
  
  
  
  Fifty-two patients with histopathologically proven EOC underwent preoperative magnetic resonance imaging (MRI) (including diffusion-weighted imaging [DWI] with 11 b-values) using a 3.0T system and were divided into two groups: types I and II. Apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), distributed diffusion coefficient (DDC), and intravoxel water diffusion heterogeneity (α) histograms were obtained based on solid components of the entire tumor. The following metrics of each histogram were compared between two types: 1) mean; 2) median; 3) 10th percentile and 90th percentile. Conventional MRI morphological features were also recorded.
  
  
  
  Significant morphological features for predicting EOC type were maximum diameter (P = 0.007), texture of lesion (P = 0.001), and peritoneal implants (P = 0.001). For ADC, D, f, DDC, and α, all metrics were significantly lower in type II than type I (P < 0.05). Mean, median, 10th, and 90th percentile of D* were not significantly different (P = 0.336, 0.154, 0.779, and 0.203, respectively). Most histogram metrics of ADC, D, and DDC had significantly higher area under the receiver operating characteristic curve values than those of f and α (P < 0.05) CONCLUSION: It is feasible to grade EOC by morphological features and three models with histogram analysis. ADC, D, and DDC have better performance than f and α; f and α may provide additional information.
  
  
  
  4 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1797-1809.
authors.affiliation: Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, P.R. China.
authors.forename: Feng
authors.initials: F
authors.lastname: Wang
authors.affiliation: Department of Pathology, School of Basic Medical Science, Peking University Third Hospital, Peking University Health Science Center, Beijing, P.R. China.
authors.forename: Yuxiang
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, P.R. China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Department of Pathology, School of Basic Medical Science, Peking University Third Hospital, Peking University Health Science Center, Beijing, P.R. China.
authors.forename: Congrong
authors.initials: C
authors.lastname: Liu
authors.affiliation: GE Healthcare, MR Research China, Beijing, P.R. China.
authors.forename: Lizhi
authors.initials: L
authors.lastname: Xie
authors.affiliation: GE Healthcare, MR Research China, Beijing, P.R. China.
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Zhou
authors.affiliation: Siemens Ltd., China, Chaoyang District, Beijing, P.R. China.
authors.forename: Dong
authors.initials: D
authors.lastname: Liang
authors.affiliation: Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, P.R. China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Shen
authors.affiliation: Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, P.R. China.
authors.forename: Zhihang
authors.initials: Z
authors.lastname: Yao
authors.affiliation: Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, P.R. China.
authors.forename: Jianyu
authors.initials: J
authors.lastname: Liu
mesh_terms: D000328:Adult; D000368:Aged; D000077216:Carcinoma, Ovarian Epithelial; D003937:Diagnosis, Differential; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008875:Middle Aged; D009375:Neoplasms, Glandular and Epithelial / Q000000981:diagnostic imaging*; D010051:Ovarian Neoplasms / Q000000981:diagnostic imaging*; D010053:Ovary / Q000000981:diagnostic imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: histogram; intravoxel incoherent motion; magnetic resonance imaging; ovarian cancer; quantitative study