Abstract
Colorectal cancer is one common digestive malignancy, and the most common approach of blood metastasis of colorectal cancer is through the portal vein system to the liver. Early detection and treatment of liver metastasis is the key to improving the prognosis of the patients. Radiomics and radiogenomics use non-invasive methods to evaluate the biological properties of tumors by deeply mining the texture features of images and quantifying the heterogeneity of metastatic tumors. Radiomics and radiogenomics have been applied widely in the detection, treatment, and prognostic evaluation of colorectal cancer liver metastases. Based on the imaging features of the liver, this paper reviews the current application of radiomics and radiogenomics in the diagnosis, treatment, monitor of disease progression, and prognosis of patients with colorectal cancer liver metastases.
Highlights
Colorectal cancer (CRC) is the third most prevalent malignancy and the second commonest cause of cancer-related deaths throughout the world [1], with the incidence and mortality still on the rise in recent years [2]
All authors contributed to the article and approved the submitted version
Summary
Colorectal cancer (CRC) is the third most prevalent malignancy and the second commonest cause of cancer-related deaths throughout the world [1], with the incidence and mortality still on the rise in recent years [2]. With the development of great-volume computing capability, it is currently feasible to quickly extract countless quantitative characteristics from three-dimensional imaging data of MRI, CT, ultrasound, and PET for evaluation of the nature of different lesions, because digital medical images contain considerable information that reflects potential pathophysiology This technology of transforming digital medical imaging data into high-dimensional data for assessment and decision support is referred to as radiomics [15]. Combined with other clinical information, these features can be used for correlation analysis with clinical results and decision-making, and radiomics can provide countless imaging biomarkers to potentially help cancer diagnosis, detection, prognosis evaluation, prediction of treatment response, and monitoring of disease progression.
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