Radiomics and dosiomics for predicting radiation- induced hypothyroidism and guiding intensity- modulated radiotherapy

作者：Yang, Shan -Shan; Peng, Qing-He; Wu, Ai-Qian^*; Zhang, Bao-Yu; Liu, Zhi-Qiao; Chen, En-Ni; Xie, Fang-Yun^*; Ouyang, Pu-Yun^*; Chen, Chun-Yan^*

来源：iScience, 2023, 26(12): 108394.

DOI：10.1016/j.isci.2023.108394

• DOSIMETRIC PREDICTORS
• NASOPHARYNGEAL
• THERAPY
• MODEL
• RISK

To guide individualized intensity-modulated radiotherapy (IMRT), we developed and prospectively vali-dated a multiview radiomics risk model for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma. And simulated radiotherapy plans with same dose-volume-histogram (DVH) but different dose distributions were redesigned to explore the clinical application of the multiview radiomics risk model. The radiomics and dosiomics were built based on selected radiomics and dosiomics features from planning computed tomography and dose distribution, respectively. The multiview radio-mics risk model that integrated radiomics, dosiomics, DVH parameters, and clinical factors had better per-formance than traditional normal tissue complication probability models. And multiview radiomics risk model could identify differences of patient hypothyroidism-free survival that cannot be stratified by tradi-tional models. Besides, two redesigned simulated plans further verified the clinical application and advan-tage of the multiview radiomics risk model. The multiview radiomics risk model was a promising method to predict radiation-induced hypothyroidism and guide individualized IMRT.

• 单位
  中山大学; 广州中医药大学; 1