ReviewInsights into imaging2026
Sustainability of contrast-enhanced breast imaging: a review of current evidence.
Review in Insights into imaging, 2026. 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most commonly diagnosed malignancy among women worldwide. Contrast-enhanced imaging is central to diagnosis, staging, and treatment monitoring, yet its increasing use raises important environmental concerns. This review critically compares the sustainability of contrast-enhanced mammography (CEM) and breast magnetic resonance imaging (bMRI), focusing on contrast medium ecotoxicity, energy consumption, data storage, digital infrastructure, patient access, and travel-related emissions. Both iodinated and gadolinium-based contrast media persist in aquatic environments and contribute to water pollution. Although standard wastewater treatment removes a higher proportion of iodinated contrast, the injected dose is substantially larger, resulting in a greater overall environmental load. Gadolinium-based media are used in smaller quantities but are poorly removed by conventional treatment processes and may release toxic free gadolinium ions after excretion. While CEM involves ionizing radiation and a smaller field of view, it consumes markedly less energy per examination, generates smaller data volumes, and can be integrated into existing mammography infrastructure-enhancing accessibility, enabling decentralized deployment, and reducing patient travel. CEM is also faster, more cost-effective, and often preferred by patients due to greater comfort and shorter examination time. In contrast, bMRI, though radiation-free and offering wider anatomical coverage, has a significantly higher energy demand and digital footprint. Overall, CEM demonstrates advantages in environmental, economic, and social sustainability without compromising diagnostic performance in selected clinical indications. Radiology departments can meaningfully reduce healthcare's carbon footprint by incorporating sustainability principles into modality selection, contrast-media management, and workflow optimization. CRITICAL RELEVANCE STATEMENT: CEM and bMRI address similar clinical indications with comparable diagnostic accuracy. CEM offers potential sustainability advantages through lower energy use, smaller data volumes, and easier integration into existing infrastructure, although it involves ionizing radiation, a limited field of view, and a higher environmental load from iodinated contrast. Considering sustainability alongside clinical factors can help radiology departments reduce environmental impact while maintaining high diagnostic standards. KEY POINTS: Sustainability should be an integral factor when selecting imaging modalities for breast cancer care. Both iodinated and gadolinium-based contrast media show environmental persistence and ecotoxic potential, with iodinated contrast producing a higher total environmental load despite greater removal in wastewater treatment. CEM consumes markedly less energy per examination and produces smaller data volumes than bMRI, reducing its digital and carbon footprint. CEM can be implemented on existing mammography systems, reducing patient travel, exam time, and costs.
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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.