Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched‐exponential diffusion models

To evaluate the utility of histogram analysis of monoexponential, biexponential, and stretched‐exponential models to a dualistic model of epithelial ovarian cancer (EOC).

[1]  B. Monk,et al.  The development and use of vascular targeted therapy in ovarian cancer. , 2017, Gynecologic oncology.

[2]  J. Hyde,et al.  Characterization of continuously distributed cortical water diffusion rates with a stretched‐exponential model , 2003, Magnetic resonance in medicine.

[3]  Chang-hong Liang,et al.  Intravoxel incoherent motion MRI: emerging applications for nasopharyngeal carcinoma at the primary site , 2014, European Radiology.

[4]  Neeraj Lalwani,et al.  Histologic, molecular, and cytogenetic features of ovarian cancers: implications for diagnosis and treatment. , 2011, Radiographics : a review publication of the Radiological Society of North America, Inc.

[5]  D. Collins,et al.  Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases , 2013, European Radiology.

[6]  Y. Liu,et al.  Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor , 2012, European Radiology.

[7]  Preetha Ramalingam,et al.  Morphologic, Immunophenotypic, and Molecular Features of Epithelial Ovarian Cancer. , 2016, Oncology.

[8]  Kazufumi Suzuki,et al.  Perfusion fraction of diffusion‐weighted MRI for predicting the presence of blood supply in ovarian masses , 2011, Journal of magnetic resonance imaging : JMRI.

[9]  T. Bourne,et al.  Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group , 2000, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[10]  A. Rockall Diffusion weighted MRI in ovarian cancer , 2014, Current opinion in oncology.

[11]  J. Hyde,et al.  Water diffusion heterogeneity index in the human brain is insensitive to the orientation of applied magnetic field gradients , 2006, Magnetic resonance in medicine.

[12]  R. Kurman,et al.  WHO classification of tumours of female reproductive organs , 2014 .

[13]  D. Collins,et al.  Modelling DW-MRI data from primary and metastatic ovarian tumours , 2015, European Radiology.

[14]  Jing Zhang,et al.  The Histogram Analysis of Diffusion-Weighted Intravoxel Incoherent Motion (IVIM) Imaging for Differentiating the Gleason grade of Prostate Cancer , 2015, European Radiology.

[15]  Young Tae Kim,et al.  A new prognostic index model using meta-analysis in early-stage epithelial ovarian cancer. , 2012, Gynecologic oncology.

[16]  M. Candiani,et al.  Different Patterns of Disease Spread between Advanced-Stage Type I and II Epithelial Ovarian Cancer , 2015, Gynecologic and Obstetric Investigation.

[17]  R M Henkelman,et al.  Does IVIM measure classical perfusion? , 1990, Magnetic resonance in medicine.

[18]  Q. Chan,et al.  Intravoxel water diffusion heterogeneity MR imaging of nasopharyngeal carcinoma using stretched exponential diffusion model , 2015, European Radiology.

[19]  Timothy D Johnson,et al.  Comparison of apparent diffusion coefficients and distributed diffusion coefficients in high‐grade gliomas , 2010, Journal of magnetic resonance imaging : JMRI.

[20]  Henan Zhao,et al.  The expression of miR-30a* and miR-30e* is associated with a dualistic model for grading ovarian papillary serious carcinoma. , 2014, International journal of oncology.

[21]  Toshihiro Kumabe,et al.  Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. , 2006, Radiology.

[22]  Ie-Ming Shih,et al.  The Origin and Pathogenesis of Epithelial Ovarian Cancer: A Proposed Unifying Theory , 2010, The American journal of surgical pathology.

[23]  D. Collins,et al.  Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients. , 2011, Radiology.

[24]  Namkug Kim,et al.  Histogram Analysis of Intravoxel Incoherent Motion for Differentiating Recurrent Tumor from Treatment Effect in Patients with Glioblastoma: Initial Clinical Experience , 2014, American Journal of Neuroradiology.

[25]  J. Kovač,et al.  Endometrioid adenocarcinoma of the ovary: MRI findings with emphasis on diffusion-weighted imaging for the differentiation of ovarian tumors , 2016, Acta radiologica.

[26]  Jie Tian,et al.  Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging. , 2016, Radiology.

[27]  Reto Meuli,et al.  Dependence of Brain Intravoxel Incoherent Motion Perfusion Parameters on the Cardiac Cycle , 2013, PloS one.

[28]  B. Choi,et al.  Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade. , 2014, Radiology.

[29]  D. Collins,et al.  Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. , 2011, AJR. American journal of roentgenology.

[30]  Stewart G. Martin,et al.  Co-expression of VEGF and CA9 in ovarian high-grade serous carcinoma and relationship to survival , 2012, Virchows Archiv.

[31]  I. Shih,et al.  Ovarian tumorigenesis: a proposed model based on morphological and molecular genetic analysis. , 2004, The American journal of pathology.

[32]  I. Shih,et al.  The Dualistic Model of Ovarian Carcinogenesis: Revisited, Revised, and Expanded. , 2016, The American journal of pathology.

[33]  Y. Sugisaki,et al.  Prognostic significance of vascular endothelial growth factor expression in human ovarian carcinoma , 2000, British Journal of Cancer.

[34]  D. Le Bihan,et al.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. , 1988, Radiology.

[35]  Bram Stieltjes,et al.  Differentiation of Pancreas Carcinoma From Healthy Pancreatic Tissue Using Multiple b-Values: Comparison of Apparent Diffusion Coefficient and Intravoxel Incoherent Motion Derived Parameters , 2009, Investigative radiology.

[36]  M. Y. Park,et al.  Diffusion-weighted MRI of epithelial ovarian cancers: correlation of apparent diffusion coefficient values with histologic grade and surgical stage. , 2015, European journal of radiology.

[37]  L. Vermeulen,et al.  Cancer heterogeneity—a multifaceted view , 2013, EMBO reports.

[38]  Andrew B Rosenkrantz,et al.  Histogram-based apparent diffusion coefficient analysis: an emerging tool for cervical cancer characterization? , 2013, AJR. American journal of roentgenology.