{"title":"Quantifying the Carbon Footprint of External Beam Radiation Therapy-A Narrative Review.","authors":"Karen Mukasa Kyeyune, Michelle Leech","doi":"10.1002/jmrs.70009","DOIUrl":null,"url":null,"abstract":"<p><p>The health care sector contributes significant amounts of greenhouse gases (GHGs) to the global climate change issue. However, little remains known about the specific contribution of radiation therapy even though there are methods/tools to quantify its carbon footprint. This narrative review aimed to identify aspects within the external beam radiation therapy pathway that are associated with a significant carbon footprint and the methods by which this footprint can be assessed. These were categorised as power consumption of magnetic resonance imaging (MRI) and computed tomography (CT) for imaging and/or diagnosis in the pre-treatment setting, power consumption of linear accelerators (LINACs) in the treatment phase as well as patient travel. A search strategy with appropriate search terms was carried out on PubMed, Scopus, Embase and Web of Science to identify relevant studies. No time filter was applied during the search. Life cycle assessment as a method to quantify carbon footprint for radiation therapy remains under-utilised. Direct conversion of power consumption into carbon dioxide equivalence is a more feasible method. In the pre-treatment setting, use of MRI results in more GHG output compared to CT. Longer courses of radiation therapy result in significantly more GHG output compared to shorter fractionations as an alternative in the same disease site. Fractionation impacts the frequency of patient travel, another aspect that contributes significantly to the radiation therapy carbon footprint. Identification of areas contributing the most to the carbon footprint of radiation therapy will pave the way for future research into finding solutions to its offset.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Radiation Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jmrs.70009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
The health care sector contributes significant amounts of greenhouse gases (GHGs) to the global climate change issue. However, little remains known about the specific contribution of radiation therapy even though there are methods/tools to quantify its carbon footprint. This narrative review aimed to identify aspects within the external beam radiation therapy pathway that are associated with a significant carbon footprint and the methods by which this footprint can be assessed. These were categorised as power consumption of magnetic resonance imaging (MRI) and computed tomography (CT) for imaging and/or diagnosis in the pre-treatment setting, power consumption of linear accelerators (LINACs) in the treatment phase as well as patient travel. A search strategy with appropriate search terms was carried out on PubMed, Scopus, Embase and Web of Science to identify relevant studies. No time filter was applied during the search. Life cycle assessment as a method to quantify carbon footprint for radiation therapy remains under-utilised. Direct conversion of power consumption into carbon dioxide equivalence is a more feasible method. In the pre-treatment setting, use of MRI results in more GHG output compared to CT. Longer courses of radiation therapy result in significantly more GHG output compared to shorter fractionations as an alternative in the same disease site. Fractionation impacts the frequency of patient travel, another aspect that contributes significantly to the radiation therapy carbon footprint. Identification of areas contributing the most to the carbon footprint of radiation therapy will pave the way for future research into finding solutions to its offset.
卫生保健部门对全球气候变化问题产生了大量的温室气体。然而,尽管有量化其碳足迹的方法/工具,但人们对放射治疗的具体贡献知之甚少。这篇叙述性综述旨在确定外束放射治疗途径中与显著碳足迹相关的方面,以及评估碳足迹的方法。这些因素被归类为磁共振成像(MRI)和计算机断层扫描(CT)的功耗,用于治疗前的成像和/或诊断,治疗阶段线性加速器(LINACs)的功耗以及患者的旅行。在PubMed、Scopus、Embase和Web of Science上使用合适的搜索词进行搜索策略,识别相关研究。在搜索过程中没有应用时间过滤器。生命周期评估作为一种量化放射治疗碳足迹的方法仍未得到充分利用。将耗电量直接换算成二氧化碳当量是一种更为可行的方法。在预处理环境中,与CT相比,MRI的使用导致更多的温室气体排放。作为同一疾病部位的替代疗法,较长的放射治疗疗程导致的温室气体排放量明显高于较短的放射治疗疗程。分院会影响患者出行的频率,这是影响放射治疗碳足迹的另一个重要因素。确定对放射治疗碳足迹贡献最大的领域将为未来的研究寻找解决方案铺平道路。
期刊介绍:
Journal of Medical Radiation Sciences (JMRS) is an international and multidisciplinary peer-reviewed journal that accepts manuscripts related to medical imaging / diagnostic radiography, radiation therapy, nuclear medicine, medical ultrasound / sonography, and the complementary disciplines of medical physics, radiology, radiation oncology, nursing, psychology and sociology. Manuscripts may take the form of: original articles, review articles, commentary articles, technical evaluations, case series and case studies. JMRS promotes excellence in international medical radiation science by the publication of contemporary and advanced research that encourages the adoption of the best clinical, scientific and educational practices in international communities. JMRS is the official professional journal of the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT).