ReviewTranslational cancer research2025
Advancing circular economy practices in radiography: a narrative review of sustainable medical imaging.
Review in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: The healthcare sector, particularly radiography, plays a notable role in environmental degradation due to high energy consumption, resource-intensive manufacturing, and significant electronic waste (e-waste). Circular economy (CE) principles, centred on reducing waste, extending equipment lifecycles, and improving recycling, offer a promising framework for promoting sustainability in radiographic practice. This literature review employs a narrative synthesis approach informed by systematic search methods to explore CE principles, waste reduction, lifecycle extension, and improved recycling, as a framework for promoting environmental sustainability in radiographic practice whilst maintaining diagnostic quality. Methods: This review employed a narrative synthesis approach with systematic search methodology to explore the integration of CE practices in radiography. Peer-reviewed articles, industry reports, and case studies from 2018 to 2024 were analysed using structured database searches across PubMed, Scopus, and IEEE Xplore (127 articles screened, 89 included) to identify key themes, challenges, and emerging innovations. Key Content and Findings: Findings reveal that CE applications in radiography are gaining traction through sustainable equipment design, energy-efficient technologies, modular components, and end-of-life recycling strategies. Quantitative analysis shows that artificial intelligence (AI)-driven imaging solutions can reduce scan times by up to 50% and energy consumption by 25-40%, whilst modular system upgrades can extend equipment lifespan by 30-50%. Lifecycle assessments (LCAs) have highlighted the environmental burden of imaging devices, with MRI machines generating approximately 30 tons of CO Conclusions: Adopting CE principles in radiography can significantly lower the sector's ecological footprint without compromising diagnostic quality or patient safety. Although challenges remain, growing research, supportive policy frameworks, and stakeholder engagement offer viable pathways for sustainable transformation. Immediate priorities include establishing manufacturer take-back programmes, implementing energy-efficient protocols, and developing specialised medical device recycling infrastructure within the next 5 years.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.