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Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma

  • Computed Tomography
  • Published:
European Radiology Aims and scope Submit manuscript



To investigate and compare radiomics and clinical information for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma (ICC).


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).


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.


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.

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This study was funded by the Science and Technology Program of Guangzhou, China (No. 201704020215). Ming Kuang, working in the First Affiliated Hospital of Sun Yat-sen University, was the guarantor of this study.


This study has received funding from the Science and Technology Program of Guangzhou, China (No. 201704020215).

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Correspondence to Sui Peng or Ming Kuang.

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The scientific guarantor of this publication is Ming Kuang.

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The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

Qian Zhou, one of the authors has significant statistical expertise.

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Written informed consent was waived by the Institutional Review Board.

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Institutional Review Board approval was obtained.


• retrospective

• observational

• multicenter study

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Chu, H., Liu, Z., Liang, W. et al. Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma. Eur Radiol 31, 2368–2376 (2021).

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