Preoperative tumor texture analysis on MRI predicts high‐risk disease and reduced survival in endometrial cancer - 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. (Journal of magnetic resonance imaging, 2018)
Keywords: 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