Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (12): 62-69.doi: 10.6040/j.issn.1671-7554.0.2023.0738

• The innovation and challenge of artificial intelligence in medical imaging-Clinical Research • Previous Articles    

Radiomics of enhanced CT in predicting the response to platinum-based chemotherapy for ovarian cancer

JIAO Guangli1, SHI Zixin1, CHEN Rong1, SONG Yabo1, YANG Fei2, CUI Shujun2   

  1. 1. Graduate School, Hebei North University, Zhangjiakou 075000, Hebei, China;
    2. Department of Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
  • Published:2024-01-11

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Abstract: Objective To construct and compare the performance of clinical model, radiomics model and combined model in predicting the patients response to platinum-based chemotherapy for ovarian cancer(OC). Methods The complete data of 94 OC patients confirmed by pathology were retrospectively analyzed. The 2D-ROI and 3D-ROI of tumors were sketched along the tumor contour on the venous phase images, and then radiomics features were extracted and dimensionality reduction filtering was performed. After the radscore was calculated, 2D and 3D radiomics models were constructed, and their prediction efficiency was compared. Meaningful clinical features were retained to build a clinical model, and then radscore was added to construct a combined model. The predictive efficacy of clinical, radiomics and combined models was evaluated with the receiver operating characteristic(ROC)curve, calibration curve, and decision analysis curve(DCA). Results The 3D model showed higher predictive efficiency than 2D model, with the area under ROC curve(AUC)being 0.766 and 0.677, respectively. Compared with the clinical model(age, RT)and radiomics model, the combined model showed the best predictive efficacy, with the AUC being 0.708, 0.766, and 0.827, respectively(P=0.010). Conclusion Modeling based on enhanced CT radiomics and clinical features can predict OC patients response to platinum-based chemotherapy, and the combined model has high predictive efficacy.

Key words: Ovarian cancer, Radiomics, Enhanced CT, Platinum-based chemotherapy, Response to platinum-based chemotherapy

CLC Number: 

  • R445.3
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