Wu Mengyun, Yuan Fang, Gu Yeqing, Wang Jinhan, Lu Lin, Zeng Zhi
Radiology Laboratory, Department of Occupational Health and Radiological Health, Chongqing Center for Disease Control and Prevention, Chongqing, China.
Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Front Public Health. 2025 May 20;13:1547101. doi: 10.3389/fpubh.2025.1547101. eCollection 2025.
This study aimed to investigate the relationship between cumulative fluoroscopy dose and eye lens radiation dose among interventional radiologists, and to develop a predictive model to enhance occupational radiation safety.
We collected data from interventional radiologists, focusing on cumulative fluoroscopy dose during procedures and corresponding eye lens doses. A quadratic polynomial regression model was developed to assess the non-linear relationship between cumulative fluoroscopy dose and eye lens dose. The study involved the use of machine-generated cumulative dose data and personal eye lens dosimeters.
The quadratic polynomial regression model effectively captured the non-linear relationship for cumulative doses >20 Gy, enabling precise dose prediction at higher exposure levels where cataract risks escalate. However, the model showed limited accuracy for doses ≤ 20 Gy. This model allowed for more precise prediction of eye lens dose, particularly at higher exposure levels where the risks of radiation-induced cataracts increase significantly.
The quadratic polynomial regression model serves as a potentially valuable tool for real-time monitoring in high-exposure scenarios (>20 Gy), supporting radiation safety protocols in clinical practice. Integration into routine hospital systems may enhance radiation protection protocols and inform policy development, aligning occupational dose monitoring practices with international safety standards.
本研究旨在调查介入放射科医生的累积透视剂量与眼晶状体辐射剂量之间的关系，并建立一个预测模型以提高职业辐射安全性。
我们收集了介入放射科医生的数据，重点关注手术过程中的累积透视剂量和相应的眼晶状体剂量。建立了二次多项式回归模型来评估累积透视剂量与眼晶状体剂量之间的非线性关系。该研究使用了机器生成的累积剂量数据和个人眼晶状体剂量计。
二次多项式回归模型有效地捕捉了累积剂量>20 Gy时的非线性关系，能够在白内障风险增加的较高暴露水平下进行精确的剂量预测。然而，该模型在剂量≤20 Gy时准确性有限。该模型能够更精确地预测眼晶状体剂量，特别是在辐射诱发白内障风险显著增加的较高暴露水平下。
二次多项式回归模型可作为高暴露场景（>20 Gy）实时监测的潜在有价值工具，支持临床实践中的辐射安全协议。整合到常规医院系统中可能会加强辐射防护协议并为政策制定提供信息，使职业剂量监测实践符合国际安全标准。
