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Full-Text Articles in Radiation Medicine
Treatment Of Orbital Lesions Using Cyberknife Stereotactic Radiosurgery, Emily Morahan
Treatment Of Orbital Lesions Using Cyberknife Stereotactic Radiosurgery, Emily Morahan
Student Research Poster Presentations 2021
The purpose of the research done was to evaluate the use of CyberKnife Stereotactic Radiosurgery (SRS) for treating orbital lesions. Efficacy and tolerability of such treatment was analyzed with data drawn from multiple sources, regarding dose and fractionation, quality of life following treatment(s) and prognosis. CyberKnife SRS is the newest, most advanced model of radiation delivery systems, featuring a robotic arm capable of manipulating the linear accelerator into thousands of unique angles. The addition of new angles allows for a more precise concentration of radiation delivered to the lesions. In the case of optic lesions, it is crucial to minimize …
Sub-Region Based Radiomics Analysis For Survival Prediction In Oesophageal Tumours Treated By Definitive Concurrent Chemoradiotherapy, Congying Xie, Pengfei Yang, Xuebang Zhang, Lei Xu, Xiaoju Wang, Xiadong Li, Luhan Zhang, Ruifei Xie, Ling Yang, Zhao Jing, Hongfang Zhang, Lingyu Ding, Yu Kuang, Tianye Niu, Shixiu Wu
Sub-Region Based Radiomics Analysis For Survival Prediction In Oesophageal Tumours Treated By Definitive Concurrent Chemoradiotherapy, Congying Xie, Pengfei Yang, Xuebang Zhang, Lei Xu, Xiaoju Wang, Xiadong Li, Luhan Zhang, Ruifei Xie, Ling Yang, Zhao Jing, Hongfang Zhang, Lingyu Ding, Yu Kuang, Tianye Niu, Shixiu Wu
Health Physics & Diagnostic Sciences Faculty Publications
Background: Evaluating clinical outcome prior to concurrent chemoradiotherapy remains challenging for oesophageal squamous cell carcinoma (OSCC) as traditional prognostic markers are assessed at the completion of treatment. Herein, we investigated the potential of using sub-region radiomics as a novel tumour biomarker in predicting overall survival of OSCC patients treated by concurrent chemoradiotherapy. Methods: Independent patient cohorts from two hospitals were included for training (n = 87) and validation (n = 46). Radiomics features were extracted from sub-regions clustered from patients' tumour regions using K-means method. The LASSO regression for ‘Cox’ method was used for feature selection. The survival prediction model …