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

• Published in: Journal of magnetic resonance imaging Vol. 48; no. 6; pp. 1637 - 1647
• Main Authors: Ytre‐Hauge, Sigmund, Dybvik, Julie A., Lundervold, Arvid, Salvesen, Øyvind O., Krakstad, Camilla, Fasmer, Kristine E., Werner, Henrica M., Ganeshan, Balaji, Høivik, Erling, Bjørge, Line, Trovik, Jone, Haldorsen, Ingfrid S.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.12.2018; Wiley Subscription Services, Inc
• Subjects: Biomarkers; Biopsy; Cancer; Carcinoma; computer‐assisted; Diagnostic software; Diagnostic systems; Diffusion coefficient; Endometrial cancer; endometrial neoplasms; Endometrium; Entropy; Field strength; Health risk assessment; Health risks; Heterogeneity; Histograms; image analysis; Kurtosis; Lymph nodes; Magnetic resonance imaging; Medical imaging; Metastases; Myometrium; Parameters; Patients; Population (statistical); Population studies; Regression analysis; Risk assessment; Statistical analysis; Statistical tests; Stroma; Survival; Survival analysis; Texture; Tumors; Uterine cancer; risk assessment; magnetic resonance imaging; entropy; image analysis; computer-assisted; endometrial neoplasms

Background 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 unexplor...