A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma.

Journal: Academic radiology
PMID: 37777428

Abstract

RATIONALE AND OBJECTIVES: Accurate staging of laryngeal carcinoma can inform appropriate treatment decision-making. We developed a radiomics model, a deep learning (DL) model, and a combined model (incorporating radiomics features and DL features) based on the venous-phase CT images and explored the performance of these models in stratifying patients with laryngeal carcinoma into stage I-II and stage III-IV, and also compared these models with radiologists.

Authors

  • Xinwei Chen
    National Soybean Processing Industry Technology Innovation Center, Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University Beijing 100048 China lihe@btbu.edu.cn liuxinqi@btbu.edu.cn.
  • Qiang Yu
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: yuq@nwsuaf.edu.cn.
  • Juan Peng
    State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
  • Zhiyang He
    Medical Business Department, iFlytek Co.Ltd, Hefei, 230088, China.
  • Quanjiang Li
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
  • Youquan Ning
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
  • Jinming Gu
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
  • Fajin Lv
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Huan Jiang
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (X.C., Q.Y., J.P., Z.H., Q.L., Y.N., F.L., H.J., K.X.).
  • Kai Xie
    National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434023, China. 500646@yangtzeu.edu.cn.

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