Environmental Sustainability and Cancer Imaging.

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Parthiv Amin, Aleena Malik, Matthew D F Mcinnes, Maura J Brown, Andrew Szava-Kovats
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引用次数: 0

Abstract

The rising global burden of cancer drives increased demands for medical imaging, which is essential throughout cancer care. However, delivering medical imaging presents significant environmental challenges including high energy use, reliance on single-use supplies, and the production of environmental pollutants. Environmental factors, such as ultraviolet radiation, wildfire smoke, and carcinogenic pollutants contribute to rising cancer rates, while extreme weather events driven by climate change disrupt cancer care delivery-highlighting the close connection between patient and planetary health. This review explores opportunities to improve the environmental sustainability of oncologic imaging, emphasizing the importance of patient-relevant outcomes-such as quality of life and overall survival-as a guiding principle in cancer care. Key strategies include optimizing imaging schedules to reduce low-value imaging, selecting modalities with lower environmental impact where clinically appropriate, minimizing waste streams, and adopting energy-efficient practices. Artificial intelligence offers the potential to personalize imaging schedules and improve efficiency, though its benefits must be weighed against energy use. Mobile imaging programs and integrated scheduling reduce patient travel-related emissions while promoting health equity, particularly in underserved communities. Future research should focus on optimizing imaging intervals to address patient-relevant outcomes better, expanding the use of abbreviated imaging protocols, and the judicious deployment of artificial intelligence, ensuring its benefits justify energy use.

环境可持续性和癌症成像。
不断上升的全球癌症负担推动了对医学成像的需求增加,这在整个癌症治疗中至关重要。然而,提供医学成像带来了重大的环境挑战,包括高能耗、对一次性耗材的依赖以及产生环境污染物。紫外线辐射、野火烟雾和致癌污染物等环境因素导致癌症发病率上升,而气候变化导致的极端天气事件破坏了癌症护理服务,这突显了患者与地球健康之间的密切联系。这篇综述探讨了提高肿瘤成像环境可持续性的机会,强调了患者相关结果(如生活质量和总体生存)作为癌症治疗指导原则的重要性。关键策略包括优化成像时间表以减少低价值成像,在临床上适当的情况下选择对环境影响较小的模式,最大限度地减少废物流,以及采用节能措施。人工智能提供了个性化成像时间表和提高效率的潜力,尽管它的好处必须与能源使用进行权衡。移动成像方案和综合调度减少了患者旅行相关的排放,同时促进了卫生公平,特别是在服务不足的社区。未来的研究应侧重于优化成像间隔,以更好地解决与患者相关的结果,扩大缩短成像协议的使用,以及明智地部署人工智能,确保其效益证明能源使用是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
12.90%
发文量
98
审稿时长
6-12 weeks
期刊介绍: The Canadian Association of Radiologists Journal is a peer-reviewed, Medline-indexed publication that presents a broad scientific review of radiology in Canada. The Journal covers such topics as abdominal imaging, cardiovascular radiology, computed tomography, continuing professional development, education and training, gastrointestinal radiology, health policy and practice, magnetic resonance imaging, musculoskeletal radiology, neuroradiology, nuclear medicine, pediatric radiology, radiology history, radiology practice guidelines and advisories, thoracic and cardiac imaging, trauma and emergency room imaging, ultrasonography, and vascular and interventional radiology. Article types considered for publication include original research articles, critically appraised topics, review articles, guest editorials, pictorial essays, technical notes, and letter to the Editor.
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