ReviewJapanese journal of radiology2026
Green radiology (part 1): environmental sustainability and energy consumption in medical imaging, with perspectives from Japan.
Review in Japanese journal of radiology, 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change is an important public health challenge, and healthcare itself contributes to greenhouse gas emissions. Within healthcare, radiology is energy intensive because modern imaging services require high-power equipment, cooling systems, digital infrastructure, consumables, and continuous operational readiness. This review summarizes current evidence on the environmental footprint of radiology and discusses practical strategies for implementing Green Radiology, with particular attention to Japan. Life cycle assessment studies indicate that the operational phase of imaging systems, especially electricity use, is an important contributor to radiology-related emissions, while non-productive idle periods represent a key opportunity for mitigation. MRI, CT, interventional radiology, picture archiving and communication systems, workstations, and emerging artificial intelligence (AI)-related infrastructure each contribute to this footprint in different ways. Practical measures include equipment power management, workflow optimization, protocol optimization, energy-aware information technology management, careful implementation of AI, and reduction of low-value imaging, many of which may also improve operational efficiency and reduce costs. However, these strategies must be implemented with attention to emergency readiness, scanner warm-up requirements, diagnostic accuracy, patient safety, and clinical workflow. In Japan, high CT and MRI scanner density with relatively low per-scanner utilization may increase non-productive energy use, but broad equipment distribution also supports accessibility, regional equity, and emergency preparedness. At the system level, reducing the environmental footprint of radiology in Japan therefore requires balanced regional coordination, shared resource utilization, selective consolidation where appropriate, and effective allocation of limited radiologist resources. Green Radiology should aim to reduce avoidable environmental burden while maintaining diagnostic accuracy, patient safety, equitable access to medical imaging, and high-quality patient care.
Indexed as
Identifiers
42429898What OpenQuestion 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 OpenQuestion graph.