Preoperative tumor texture analysis on MRI predicts high‐risk disease and reduced survival in endometrial cancer

Improved methods for preoperative risk stratification in endometrial cancer are highly requested by gynecologists. Texture analysis is a method for quantification of heterogeneity in images, increasingly reported as a promising diagnostic tool in various cancer types, but largely unexplored in endometrial cancer.

[1]  A. Espeland,et al.  Standard 1.5-T MRI of endometrial carcinomas: modest agreement between radiologists , 2012, European Radiology.

[2]  A. Afaq,et al.  The clinical utility of prostate cancer heterogeneity using texture analysis of multiparametric MRI , 2019, International Urology and Nephrology.

[3]  A. Matamoros,et al.  Tumors of the uterine corpus , 2012 .

[4]  Patrick Neven,et al.  Endometrial cancer , 2005, The Lancet.

[5]  Ø. Salvesen,et al.  Preoperative Tumor Size at MRI Predicts Deep Myometrial Invasion, Lymph Node Metastases, and Patient Outcome in Endometrial Carcinomas , 2014, International Journal of Gynecologic Cancer.

[6]  Peter Gibbs,et al.  Texture analysis in assessment and prediction of chemotherapy response in breast cancer , 2013, Journal of magnetic resonance imaging : JMRI.

[7]  Caroline Reinhold,et al.  Endometrial Carcinoma: MR Imaging-based Texture Model for Preoperative Risk Stratification-A Preliminary Analysis. , 2017, Radiology.

[8]  J. Brenton,et al.  Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging. , 2017, Clinical radiology.

[9]  N. Just,et al.  Improving tumour heterogeneity MRI assessment with histograms , 2014, British Journal of Cancer.

[10]  Paul Kinahan,et al.  Radiomics: Images Are More than Pictures, They Are Data , 2015, Radiology.

[11]  D. Mitchell,et al.  The added role of MR imaging in treatment stratification of patients with gynecologic malignancies: what the radiologist needs to know. , 2013, Radiology.

[12]  M. P. Hayball,et al.  CT texture analysis using the filtration-histogram method: what do the measurements mean? , 2013, Cancer imaging : the official publication of the International Cancer Imaging Society.

[13]  H. Watari,et al.  Tumor volume successively reflects the state of disease progression in endometrial cancer. , 2013, Gynecologic oncology.

[14]  J. Reis-Filho,et al.  Pan-cancer analysis of intratumor heterogeneity as a prognostic determinant of survival , 2016, Oncotarget.

[15]  Brandon Whitcher,et al.  Quantifying spatial heterogeneity in dynamic contrast‐enhanced MRI parameter maps , 2009, Magnetic resonance in medicine.

[16]  S. Pecorelli Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium , 2009 .

[17]  H. Hricak,et al.  Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores , 2015, European Radiology.

[18]  V. Goh,et al.  Non-small cell lung cancer: histopathologic correlates for texture parameters at CT. , 2013, Radiology.

[19]  J. Barentsz,et al.  Staging of endometrial cancer with MRI: Guidelines of the European Society of Urogenital Imaging , 2009, European Radiology.

[20]  P. A. Futreal,et al.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. , 2012, The New England journal of medicine.

[21]  Hanlee P. Ji,et al.  Pan-cancer analysis of the extent and consequences of intratumor heterogeneity , 2015, Nature Medicine.

[22]  K. Kinkel,et al.  Staging endometrial cancer: Role of magnetic resonance imaging , 2001, Journal of magnetic resonance imaging : JMRI.

[23]  Zhen Wang,et al.  Issues on peritoneal metastasis of gastric cancer: an update , 2019, World Journal of Surgical Oncology.

[24]  Vicky Goh,et al.  Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis? , 2013, European journal of radiology.

[25]  H. Salvesen,et al.  Staging of endometrial carcinomas with MRI using traditional and novel MRI techniques. , 2012, Clinical radiology.

[26]  J. Trovik,et al.  Markers for individualised therapy in endometrial carcinoma. , 2012, The Lancet. Oncology.

[27]  E. Berg,et al.  World Health Organization Classification of Tumours , 2002 .