ReviewCurrent opinion in urology2025
The carbon footprint of modern imaging.
Review in Current opinion in urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
- Reduced environmental impact in body CT imaging with deep learning reconstruction: experience of a high-volume tertiary referral center.Insights into imaging · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThis review aims to highlight the often-overlooked environmental impact of medical imaging in urological practice, focusing on energy consumption, associated carbon emissions, and practical strategies for reducing the carbon footprint of imaging modalities. RECENT
findingsMedical imaging accounts for a significant proportion of a hospital's total energy use, with MRI, CT, and PET-CT being the most energy-intensive modalities. A recent life cycle assessment found that energy usage accounted for over half of a radiology department's greenhouse gas (GHG) emissions. Imaging systems such as fluoroscopy and ultrasound also contribute meaningfully, particularly when idle power consumption is overlooked. New data reveal that simple interventions, such as shutting down imaging devices during nonoperational hours and reducing unnecessary imaging, can cut nonoperational energy use by 20-70%. SUMMARY: Given the slow adoption of energy-efficient imaging systems due to long development cycles, immediate emission reductions must come from operational changes. Strategies such as optimizing scheduling, shortening protocols, reduction of low-value imaging and powering down unused equipment can significantly reduce carbon emissions and costs - without compromising diagnostic value. Collaboration between referring clinicians and radiologists is critical to driving this transition.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.