Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate- and high-risk prostate cancer patients.

Are Losnegård Lars Anders Rokne ReisæterOle J HalvorsenJakub JurekJörg AssmusJarle B ArnesAlfred HonoréJan A MonssenErling AndersenIngfrid S HaldorsenArvid LundervoldChristian Beisland

Published in: Acta radiologica (Stockholm, Sweden : 1987) (2020)

Radiomic analysis combined with radiology interpretation aid the MSKCC nomogram in predicting EPE in high- and non-favorable intermediate-risk patients.

Keyphrases

magnetic resonance
end stage renal disease
prostate cancer
ejection fraction
newly diagnosed
chronic kidney disease
lymph node metastasis
prognostic factors
artificial intelligence
peritoneal dialysis
contrast enhanced
machine learning
computed tomography
deep learning