![]() ![]() Thus, accurate diagnosis of liver metastases in patients with CRC before surgery is crucial to ensuring the appropriate treatment choice and for prognostic evaluation. The liver is the most common metastatic organ of CRC. Preoperative prediction of hepatic metastasis in patients with CRC is crucial to treatment decisions and patient prognosis ( 2, 3). Approximately 50% of patients with CRC develop liver metastases either by the time of diagnosis or later during the disease course. Accepted for publication Dec 17, 2019.Ĭolorectal cancer (CRC) is the third most diagnosed cancer and the second most common cause of cancer-related deaths worldwide ( 1). Keywords: Radiomics nomogram colorectal cancer liver metastasis (CRLM) machine learning The area under the curve (AUC) value was 0.90☐.02 (sensitivity =0.85☐.02, specificity =0.79☐.04) for the training set, 0.86☐.11 (sensitivity =0.85☐.09, specificity =0.75☐.19) for the verification set, 0.906 (95% CI, 0.840–0.971 sensitivity =0.81, specificity =0.84) for the cross-validation set, and 0.899 (95% CI, 0.761–1.000 sensitivity =0.78, specificity =0.91) for the test set.Ĭonclusions: The radiomics nomogram-based LR with clinical risk and radiomics features allows for a more accurate classification of CRLM using CT images with RIAT. Results: With RIAT, the model based on logistic regression (LR) using both the radiomics and clinical information signatures showed the maximum net benefit. To automatically implement radiomics-related paradigms, we developed a toolkit called Radiomics Intelligent Analysis Toolkit (RIAT). The maximum-level enhanced computed tomography (CT) image of primary cancer in the portal venous phase of each patient was selected as the original image data. The 100 patients comprised 50 patients with and 50 without CRLM. Methods: This retrospective study included 100 patients from the First Hospital of Jilin University from June 2017 to December 2017. Policy of Dealing with Allegations of Research Misconductīackground: This article aims to develop and assess the radiomics paradigm for predicting colorectal cancer liver metastasis (CRLM) from the primary tumor. ![]()
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