Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma
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COMPUTED TOMOGRAPHY
Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma Hongpeng Chu 1 & Zelong Liu 2 & Wen Liang 3 & Qian Zhou 4 & Ying Zhang 1 & Kai Lei 1 & Mimi Tang 5 & Yiheng Cao 4 & Shuling Chen 2 & Sui Peng 4,6 & Ming Kuang 1,2 Received: 6 February 2020 / Revised: 26 July 2020 / Accepted: 31 August 2020 # European Society of Radiology 2020
Abstract Objectives To investigate and compare radiomics and clinical information for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma (ICC). Methods A total of 203 ICC patients from two centers were included and randomly allocated with a ratio of 7:3 into the training cohort and the validation cohort. Clinical characteristics and radiomics features were selected using random forest algorithm and logistic models to construct a clinical model and a radiomics model, respectively. A combined logistic model that incorporated the developed radiomics signature and clinical risk factors was then built. The performance of these models was evaluated and compared by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Results The radiomics model showed a higher AUC than the clinical model in the validation cohort (AUC: 0.804 (95% CI: 0.697, 0.912) vs. 0.590 (95% CI: 0.415, 0.765), p = 0.043) for predicting futile resection in ICC. The radiomics model reached a sensitivity of 0.846 (95% CI: 0.546, 0.981) and a specificity of 0.771 (95% CI: 0.627, 0.880) in the validation cohort. Moreover, the radiomics model had comparable AUCs with the combined model in training and validation cohorts. Conclusions We presented an internally validated radiomics model for the prediction of futile resection in ICC patients. Compared with clinical information, radiomics using CT images had greater potential for predicting futile resection accurately before surgery. Key Points • Radiomics model using CT images could predict futile resection in intrahepatic cholangiocarcinoma preoperatively. • Radiomics model using CT images was superior to clinical information for predicting futile resection accurately before surgery. Keywords Radiomics . Tomography . Intrahepatic cholangiocarcinoma . Surgery
Hongpeng Chu and Zelong Liu contributed equally to this work. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00330-020-07250-5) contains supplementary material, which is available to authorized users. * Sui Peng [email protected] * Ming Kuang [email protected] 1
2
Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhong Shan Road 2, Guangzhou 510080, China
3
Department of Radiology, The Zhu Jiang Hospital of Southern Medical University, Guangzhou, China
4
Clinical Trial Unit, The First Affiliated Hospital of Sun Yat-
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