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A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancer

9 Jan 2024

Abstract excerpt

Approximately 50% of colorectal cancer (CRC) patients would develop metastasis with poor prognosis, therefore, it is necessary to effectively predict metastasis in clinical treatment. In this study, we aimed to establish a machine-learning model for predicting metastasis in CRC patients by considering radiomics and transcriptomics simultaneously. Here, 1023 patients with CRC from three centers were collected and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 38195111
DOI: 10.1093/carcin/bgad098

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