Dosiomics Risk Model for Predicting Radiation Induced Temporal Lobe Injury and Guiding Individual Intensity-Modulated Radiation Therapy-Reference-Cited by-同舟云学术

Dosiomics Risk Model for Predicting Radiation Induced Temporal Lobe Injury and Guiding Individual Intensity-Modulated Radiation Therapy

Published:2023-04 Issue:5 Volume:115 Page:1291-1300
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Yang Shan-Shan,OuYang Pu-Yun,Guo Jian-Gui,Cai Jia-Jun,Zhang Jun,Peng Qing-He,He Yun,Zhang Bao-Yu,Liu Zhi-Qiao,Hu Xue-Feng,Chen Yan-Feng,Chen Chun-Yan,Xie Fang-Yun

Publisher

Elsevier BV

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,Radiation

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1. A pretreatment multiparametric MRI‐based radiomics‐clinical machine learning model for predicting radiation‐induced temporal lobe injury in patients with nasopharyngeal carcinoma;Head & Neck;2024-06-18

2. Dosimetric parameters predict radiation-induced temporal lobe necrosis in nasopharyngeal carcinoma patients: A systematic review and meta-analysis;Radiotherapy and Oncology;2024-06

3. Normal tissue complication probability model of temporal lobe injury following re-irradiation of IMRT for local recurrent nasopharyngeal carcinoma;Frontiers in Oncology;2024-05-30

4. Multi-Omics-Based Prognostic Prediction for Locally Advanced Hypopharyngeal Cancer Treated with Surgery and Postoperative Chemoradiotherapy: A Dual-Center Study;2024

5. Radiomics and dosiomics for predicting radiation-induced hypothyroidism and guiding intensity-modulated radiotherapy;iScience;2023-12