Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment.

Vincenza GranataRoberta FuscoFederica De MuzioMaria Chiara BruneseSergio Venanzio SetolaAlessandro OttaianoClaudia CardoneAntonio AvalloneRenato PatroneSilvia PradellaVittorio MieleFabiana TatangeloCarmen CutoloNicola MaggialettiDamiano CarusoFrancesco IzzoAntonella Petrillo

Published in: La Radiologia medica (2023)

The results confirmed the Radiomics capacity to recognize clinical and histopathological prognostic features that should influence the choice of treatments in colorectal liver metastases patients to obtain a more personalized therapy.

Keyphrases

liver metastases
computed tomography
machine learning
end stage renal disease
ejection fraction
chronic kidney disease
lymph node metastasis
contrast enhanced
newly diagnosed
prognostic factors
stem cells
squamous cell carcinoma
patient reported outcomes
bone marrow
cell therapy
image quality
data analysis