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| The value of radiomics nomogram based on dynamic enhanced MRI for predicting the recurrence of HCC in three years after hepatectomy |
| CUI Da-hua1, ZHAO Ying1, LIU Ai-lian1, WU Jing-jun1, GUO Yan2, LI Xin2, WU Ting-fan2, CUI Jing-jing3, ZUO Pan-li3 |
| 1. Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian Liaoning 116011, China;
2. GE Healthcare, Shanghai 200000, China; 3. Huiying Medical Technology Co., Ltd., Beijing 100080, China |
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Abstract Objective: To explore the value of dynamic enhanced MRI-based radiomics nomogram in preoperatively predicting the recurrence(within three years after hepatectomy) of hepatocellular carcinoma(HCC). Methods: A total of 80 HCC patients(90 HCC lesions) who underwent partial hepatectomy in our hospital from January 2007 to September 2016 were enrolled in this retrospective study. A training set consisted of 64 patients(three years after hepatectomy as the endpoint of the study, 35 cases of recurrent HCC lesions and 29 cases of non-recurrent HCC lesions) and a testing set consisted of 26 patients(14 cases of recurrent HCC lesions and 12 cases of non-recurrent HCC lesions). All patients underwent preoperative non-enhanced MR scanning and liver acquisition with volume acceleratio(LAVA) enhanced scanning within 2 weeks preoperatively. Based on the arterial, portal and delayed phases of MRI enhanced images, 1 029 radiomics features based on the three-dimensional volume of the tumors were extracted. The maximal relevance and minimal redundancy(mRMR) and least absolute shrinkage and selection operator(LASSO) methods were used for data dimension reduction to establish radiomics socre(radscore) based on different phases of enhanced MR images. Meanwhile, the preoperative clinical characteristics associated with prognosis were recorded by two radiologists and then clinical score(including gender, tumor size and pathological grading) was built. Multivariate logistic regression was used to build a nomogram which integrated the optimal radscore and clinical risk factors. Predictive performance and clinical usefulness were evaluated by the area under the curve(AUC) of receiver operating characteristics(ROC) and decision curves. Results: The AUC of the radscore based on the arterial phase in the testing set was 0.82, sensitivity of 0.83 and specificity of 0.86. The AUC of the clinical score in the testing set was 0.61, sensitivity of 0.63 and specificity of 0.60. The nomogram integrating radscore and clinical risk factors showed better predictive performance than the clinical score(P=0.019). The AUC of the nomogram in the testing set was 0.83, sensitivity of 0.85 and specificity of 0.77. Conclusion: The radiomics nomogram based on the arterial phase of enhanced MRI can be used to preoperatively predict the recurrence(within three years after hepatectomy) of HCC, and the predictive performance of radscore is similar to that of the radiomics nomogram.
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Received: 09 October 2019
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