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作者

Shan-Shan Yang MD Qing-He Peng MD Ai-Qian Wu MS Bao-Yu Zhang MD Zhi-Qiao Liu MD En-Ni Chen MD Fang-Yun Xie MD Pu-Yun OuYang MD Chun-Yan Chen MD

作者单位

¹Department of Radiation Oncology, Sun Yat-sen University Cancer Center ⁴Department of Radiation Oncology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510405, China ⁵Lead contact Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, Guangdong, 510060, China ³These authors contributed equally ²Department of Radiation oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine

刊名

iScience

年份

2023

页码

108394

ISSN

2589-0042

关键词

radiomics dosiomics hypothyroidism intensity-modulated radiotherapy nasopharyngeal carcinoma

摘要

To guide individualized intensity-modulated radiotherapy , we developed and prospectively validated a multiview radiomics risk model for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma. And simulated radiotherapy plans with same dose-volume-histogram 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 featu...更多

To guide individualized intensity-modulated radiotherapy , we developed and prospectively validated a multiview radiomics risk model for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma. And simulated radiotherapy plans with same dose-volume-histogram 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 radiomics risk model that integrated radiomics, dosiomics, DVH parameters, and clinical factors had better performance 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 traditional models. Besides, two redesigned simulated plans further verified the clinical application and advantage of the multiview radiomics risk model. The multiview radiomics risk model was a promising method to predict radiation-induced hypothyroidism and guide individualized IMRT.收起

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