Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction.
Vincenza GranataRoberta FuscoSergio Venanzio SetolaMaria Chiara BruneseAnnabella Di MauroAntonio AvalloneAlessandro OttaianoNicola NormannoAntonella PetrilloFrancesco IzzoPublished in: La Radiologia medica (2024)
Normalized approach in CT radiomics analysis allows to predict RAS mutational status in colorectal liver metastases patients.
Keyphrases
- liver metastases
- computed tomography
- end stage renal disease
- machine learning
- ejection fraction
- chronic kidney disease
- newly diagnosed
- contrast enhanced
- prognostic factors
- peritoneal dialysis
- magnetic resonance imaging
- positron emission tomography
- squamous cell carcinoma
- lymph node metastasis
- artificial intelligence
- patient reported outcomes
- big data