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Article

Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction.

La Radiologia medica - 1 Jul 2024

Granata Vincenza, Fusco Roberta, Setola Sergio Venanzio, Brunese Maria Chiara, Di Mauro Annabella, Avallone Antonio, Ottaiano Alessandro, Normanno Nicola, Petrillo Antonella, Izzo Francesco

Abstract excerpt

PURPOSE: To assess the efficacy of machine learning and radiomics analysis by computed tomography (CT) in presurgical setting, to predict RAS mutational status in colorectal liver metastases. METHODS: Patient selection in a retrospective study was carried out from January 2018 to May 2021 considering the following inclusion criteria: patients subjected to surgical resection for liver metastases; proven...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 38761342
DOI: 10.1007/s11547-024-01828-5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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