Visual light perceptions caused by medical linear accelerator: Findings of machinelearning algorithms in a prospective questionnaire-based case-control study

Chao Yang Kuo, Cheng Chun Lee, Yuh Lin Lee, Shueh Chun Liou, Jia Cheng Lee, Emily Chia Yu Su, Yi Wei Chen

研究成果: 雜誌貢獻文章同行評審

摘要

This study aimed to investigate the possible incidence of visual light perceptions (VLPs) during radiation therapy (RT). We analyzed whether VLPs could be affected by differences in the radiation energy, prescription doses, age, sex, or RT locations, and whether all VLPs were caused by radiation. From November 2016 to August 2018, a total of 101 patients who underwent head-and-neck or brain RT were screened. After receiving RT, questionnaires were completed, and the subjects were interviewed. Random forests (RF), a tree-based machine learning algorithm, and logistic regression (LR) analyses were compared by the area under the curve (AUC), and the algorithm that achieved the highest AUC was selected. The dataset sample was based on treatment with non-human units, and a total of 293 treatment fields from 78 patients were analyzed. VLPs were detected only in 122 of the 293 exposure portals (40.16%). The dataset was randomly divided into 80% and 20% as the training set and test set, respectively. In the test set, RF achieved an AUC of 0.888, whereas LR achieved an AUC of 0.773. In this study, the retina fraction dose was the most important continuous variable and had a positive effect on VLP. Age was the most important categorical variable. In conclusion, the visual light perception phenomenon by the human body during RT is induced by radiation rather than being a self-suggested hallucination or induced by phosphenes.
原文英語
文章編號e0247597
期刊PLoS ONE
16
發行號2 February
DOIs
出版狀態已發佈 - 二月 2021

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

指紋 深入研究「Visual light perceptions caused by medical linear accelerator: Findings of machinelearning algorithms in a prospective questionnaire-based case-control study」主題。共同形成了獨特的指紋。

引用此