Radiology and the Climate Crisis: Opportunities and Challenges-Radiology In Training

Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences

OBJECTIVES

The unprecedented surge in energy costs in Europe, coupled with the significant energy consumption of MRI scanners in radiology departments, necessitates exploring strategies to optimize energy usage without compromising efficiency or image quality. This study investigates MR energy consumption and identifies strategies for improving energy efficiency, focusing on musculoskeletal MRI. We assess the potential savings achievable through (1) optimizing protocols, (2) incorporating deep learning (DL) accelerated acquisitions, and (3) optimizing the cooling system.

MATERIALS AND METHODS

Energy consumption measurements were performed on two MRI scanners (1.5-T Aera, 1.5-T Sola) in practices in Munich, Germany, between December 2022 and March 2023. Three levels of energy reduction measures were implemented and compared to the baseline. Wilcoxon signed-rank test with Bonferroni correction was conducted to evaluate the impact of sequence scan times and energy consumption.

RESULTS

Our findings showed significant energy savings by optimizing protocol settings and implementing DL technologies. Across all body regions, the average reduction in energy consumption was 72% with DL and 31% with economic protocols, accompanied by time reductions of 71% (DL) and 18% (economic protocols) compared to baseline. Optimizing the cooling system during the non-scanning time showed a 30% lower energy consumption.

CONCLUSION

Implementing energy-saving strategies, including economic protocols, DL accelerated sequences, and optimized magnet cooling, can significantly reduce energy consumption in MRI scanners. Radiology departments and practices should consider adopting these strategies to improve energy efficiency and reduce costs.

CLINICAL RELEVANCE STATEMENT

MRI scanner energy consumption can be substantially reduced by incorporating protocol optimization, DL accelerated acquisition, and optimized magnetic cooling into daily practice, thereby cutting costs and environmental impact.

KEY POINTS

Optimization of protocol settings reduced energy consumption by 31% and imaging time by 18%. DL technologies led to a 72% reduction in energy consumption of and a 71% reduction in time, compared to the standard MRI protocol. During non-scanning times, activating Eco power mode (EPM) resulted in a 30% reduction in energy consumption, saving 4881 € ($5287) per scanner annually.

EGO to ECO: Tracing the History of Radioecology from the 1950's to the Present Day

This paper starts with a brief history of the birth of the field of radioecology during the Cold War with a focus on US activity. We review the establishment of the international system for radiation protection and the science underlying the guidelines. We then discuss the famous ICRP 60 statement that if "Man" is protected, so is everything else and show how this led to a focus in radioecology on pathways to "Man" rather than concern about impacts on environments or ecosystems. We then review the contributions of Radiation Research Society members and papers published in Radiation Research which contributed to the knowledge base about effects on non-human species. These fed into international databases and computer-based tools such as ERICA and ResRad Biota to guide regulators. We then examine the origins of the concern that ICRP 60 is not sufficient to protect ecosystems and discuss the establishment of ICRP Committee 5 and its recommendations to establish reference animals and plants. The review finishes with current concerns that reference animals and plants (RAPs) are not sufficient to protect ecosystems, given the complexity of interacting factors such as the climate emergency and discusses the efforts of ICRP, the International Union of Radioecologists and other bodies to capture the concepts of ecosystem services and ecosystem complexity modelling in radioecology.

Promoting sustainability activities in clinical radiography practice and education in resource-limited countries: A discussion paper

OBJECTIVE

Urgent global action is required to combat climate change, with radiographers poised to play a significant role in reducing healthcare's environmental impact. This paper explores radiography-related activities and factors in resource-limited departments contributing to the carbon footprint and proposes strategies for mitigation. The rationale is to discuss the literature regarding these contributing factors and to raise awareness about how to promote sustainability activities in clinical radiography practice and education in resource-limited countries.

KEY FINDINGS

The radiography-related activities and factors contributing to the carbon footprint in resource-limited countries include the use of old equipment and energy inefficiency, insufficient clean energy to power equipment, long-distance commuting for radiological examinations, high film usage and waste, inadequate training and research on sustainable practices, as well as limited policies to drive support for sustainability. Addressing these issues requires a multifaceted approach. Firstly, financial assistance and partnerships are needed to adopt eco-friendly technologies and clean energy sources to power equipment, thus tackling issues related to old equipment and energy inefficiency. Transitioning to digital radiography can mitigate the environmental impact of high film usage and waste, while collaboration between governments, healthcare organisations, and international stakeholders can improve access to radiological services, reducing long-distance commuting. Additionally, promoting education programmes and research efforts in sustainability will empower radiographers with the knowledge to practice sustainably, complemented by clear policies such as green imaging practices to guide and incentivise the adoption of sustainable practices. These integrated solutions can significantly reduce the carbon footprint of radiography activities in resource-limited settings while enhancing healthcare delivery.

CONCLUSION

Radiography-related activities and factors in resource-limited departments contributing to the carbon footprint are multifaceted but can be addressed through concerted efforts.

IMPLICATIONS FOR PRACTICE

Addressing the challenges posed by old equipment, energy inefficiency, high film usage, and inadequate training through collaborative efforts and robust policy implementation is essential for promoting sustainable radiography practices in resource-limited countries. Radiographers in these countries need to be aware of these factors contributing to the carbon footprint and begin to work with the relevant stakeholders to mitigate them. Furthermore, there is a need for them to engage in education programmes and research efforts in sustainability to empower them with the right knowledge and understanding to practice sustainably.

"HOW TO" ……. Incorporating education for sustainable development within a radiography curriculum: A narrative review

OBJECTIVES

This narrative review aims to describe opportunities to embed sustainability as a core concept in radiography education by exploring teaching strategies to increase awareness about sustainability and its importance in radiography; encourage a culture of personal responsibility and investigate effective teaching methods to engage students in exploring sustainable radiography practices. Climate change can adversely affect the health of populations worldwide. Medical imaging and radiotherapy services are recognised as substantial contributors to the ecological impact of the healthcare industry. There is a need to address the inclusion of sustainability in radiography education due to its increasing relevance to complex cultural and environmental problems.

KEY FINDINGS

Literature searches were conducted using CINAHL and Google Scholar, focusing on keywords such as "Sustainability," "Healthcare," and "Radiography Curriculum." A variety of teaching strategies are available to facilitate the instruction of sustainable healthcare practices. Many pedagogical methods promote emancipation and transformative learning, such as problem-based learning, case-study learning, debate, and participatory action research, contributing to a student-centred learning experience. Traditional lecturing and interprofessional teaching also enhance the learner experience by stimulating new ways of thinking.

CONCLUSION

Communicating about climate change is important. The radiography curriculum should include education on sustainability for meaningful global health literacy, encourage active research involvement, and ensure that sustainable healthcare principles are incorporated into daily practice.

IMPLICATIONS TO PRACTICE

Radiographers possess the ability to assess the various elements influencing a patient's health status and identify which aspects might affect their capacity for behaviour change. This empowers patients to effectively control their conditions within the framework of personalised care. Radiographers have the potential to motivate actions, shape policies, and drive transformation as advocates for environmental and health messengers.

Environmental Sustainability and AI in Radiology: A Double-Edged Sword

According to the World Health Organization, climate change is the single biggest health threat facing humanity. The global health care system, including medical imaging, must manage the health effects of climate change while at the same time addressing the large amount of greenhouse gas (GHG) emissions generated in the delivery of care. Data centers and computational efforts are increasingly large contributors to GHG emissions in radiology. This is due to the explosive increase in big data and artificial intelligence (AI) applications that have resulted in large energy requirements for developing and deploying AI models. However, AI also has the potential to improve environmental sustainability in medical imaging. For example, use of AI can shorten MRI scan times with accelerated acquisition times, improve the scheduling efficiency of scanners, and optimize the use of decision-support tools to reduce low-value imaging. The purpose of this Radiology in Focus article is to discuss this duality at the intersection of environmental sustainability and AI in radiology. Further discussed are strategies and opportunities to decrease AI-related emissions and to leverage AI to improve sustainability in radiology, with a focus on health equity. Co-benefits of these strategies are explored, including lower cost and improved patient outcomes. Finally, knowledge gaps and areas for future research are highlighted.

First experience of evaluation of the impact of high-matrix size reconstruction in image quality in arterial CT runoff studies of the lower extremities

OBJECTIVES

To determine whether image reconstruction with a higher matrix size improves image quality for lower extremity CTA studies.

METHODS

Raw data from 50 consecutive lower extremity CTA studies acquired on two MDCT scanners (SOMATOM Flash, Force) in patients evaluated for peripheral arterial disease (PAD) were retrospectively collected and reconstructed with standard (512 × 512) and higher resolution (768 × 768, 1024 × 1024) matrix sizes. Five blinded readers reviewed representative transverse images in randomized order (150 total). Readers graded image quality (0 (worst)-100 (best)) for vascular wall definition, image noise, and confidence in stenosis grading. Ten patients' stenosis scores on CTA images were compared to invasive angiography. Scores were compared using mixed effects linear regression.

RESULTS

Reconstructions with 1024 × 1024 matrix were ranked significantly better for wall definition (mean score 72, 95% CI = 61-84), noise (74, CI = 59-88), and confidence (70, CI = 59-80) compared to 512 × 512 (wall = 65, CI = 53 × 77; noise = 67, CI = 52 × 81; confidence = 62, CI = 52 × 73; p = 0.003, p = 0.01, and p = 0.004, respectively). Compared to 512 × 512, the 768 × 768 and 1024 × 1024 matrix improved image quality in the tibial arteries (wall = 51 vs 57 and 59, p < 0.05; noise = 65 vs 69 and 68, p = 0.06; confidence = 48 vs 57 and 55, p < 0.05) to a greater degree than the femoral-popliteal arteries (wall = 78 vs 78 and 85; noise = 81 vs 81 and 84; confidence = 76 vs 77 and 81, all p > 0.05), though for the 10 patients with angiography accuracy of stenosis grading was not significantly different. Inter-reader agreement was moderate (rho = 0.5).

CONCLUSION

Higher matrix reconstructions of 768 × 768 and 1024 × 1024 improved image quality and may enable more confident assessment of PAD.

CLINICAL RELEVANCE STATEMENT

Higher matrix reconstructions of the vessels in the lower extremities can improve perceived image quality and reader confidence in making diagnostic decisions based on CTA imaging.

KEY POINTS

• Higher than standard matrix sizes improve perceived image quality of the arteries in the lower extremities. • Image noise is not perceived as increased even at a matrix size of 1024 × 1024 pixels. • Gains from higher matrix reconstructions are higher in smaller, more distal tibial and peroneal vessels than in femoropopliteal vessels.

The green and sustainable radiology department

As manmade climate change threatens the health of the planet, it is important that we understand and address the contribution of healthcare to global emissions. Medical imaging is a significant contributor to overall emissions. This article aims to highlight key issues and examples of sustainable practices, in order to empower radiologists to make a change within their department.

Considerations for environmental sustainability in clinical radiology and radiotherapy practice: A systematic literature review and recommendations for a greener practice

INTRODUCTION

Environmental sustainability (ES) in healthcare is an important current challenge in the wider context of reducing the environmental impacts of human activity. Identifying key routes to making clinical radiology and radiotherapy (CRR) practice more environmentally sustainable will provide a framework for delivering greener clinical services. This study sought to explore and integrate current evidence regarding ES in CRR departments, to provide a comprehensive guide for greener practice, education, and research.

METHODS

A systematic literature search and review of studies of diverse evidence including qualitative, quantitative, and mixed methods approach was completed across six databases. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and the Quality Assessment Tool for Studies with Diverse Designs (QATSDD) was used to assess the included studies. A result-based convergent data synthesis approach was employed to integrate the study findings.

RESULTS

A total of 162 articles were identified. After applying a predefined exclusion criterion, fourteen articles were eligible. Three themes emerged as potentially important areas of CRR practice that contribute to environmental footprint: energy consumption and data storage practices; usage of clinical consumables and waste management practices; and CRR activities related to staff and patient travel.

CONCLUSIONS

Key components of CRR practice that influence environmental impact were identified, which could serve as a framework for exploring greener practice interventions. Widening the scope of research, education and awareness is imperative to providing a holistic appreciation of the environmental burden of healthcare.

IMPLICATIONS FOR PRACTICE

Encouraging eco-friendly travelling options, leveraging artificial Intelligence (AI) and CRR specific policies to optimise utilisation of resources such as energy and radiopharmaceuticals are recommended for a greener practice.

Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health

Generative artificial intelligence (AI) tools such as GPT-4, and the chatbot interface ChatGPT, show promise for a variety of applications in radiology and health care. However, like other AI tools, ChatGPT has limitations and potential pitfalls that must be considered before adopting it for teaching, clinical practice, and beyond. We summarize five major emerging use cases for ChatGPT and generative AI in radiology across the levels of increasing data complexity, along with pitfalls associated with each. As the use of AI in health care continues to grow, it is crucial for radiologists (and all physicians) to stay informed and ensure the safe translation of these new technologies.

Sustainability in interventional radiology: are we doing enough to save the environment?

Background

Healthcare waste contributes substantially to the world’s carbon footprint. Our aims are to review the current knowledge of Interventional Radiology (IR) waste generation and ways of reducing waste in practice, to quantify the environmental and financial impact of waste generated and address green initiatives to improve IR waste management.

Methods

A systematic literature search was conducted in July 2022 using the Medline and Embase literature databases. The scope of the search included the field of IR as well as operating theatre literature, where relevant to IR practice.

Results

One-hundred articles were reviewed and 68 studies met the inclusion criteria. Greening initiatives include reducing, reusing and recycling waste, as well as strict waste segregation. Interventional radiologists can engage with suppliers to reformulate procedure packs to minimize unnecessary items and packaging. Opened but unused equipment can be prevented if there is better communication within the team and increased staff awareness of wasted equipment cost. Incentives to use soon-to-expire equipment can be offered. Power consumption can be reduced by powering down operating room lights and workstations when not in use, changing to Light Emitting Diode (LED) and motion sensor lightings. Surgical hand wash can be replaced with alcohol-based hand rubs to reduce water usage. Common barriers to improving waste management include the lack of leadership, misconceptions regarding infectious risk, lack of data, concerns about increased workload, negative staff attitudes and resistance to change. Education remains a top priority to engage all staff in sustainable healthcare practices.

Conclusion

Interventional radiologists have a crucial role to play in improving healthcare sustainability. By implementing small, iterative changes to our practice, financial savings, greater efficiency and improved environmental sustainability can be achieved.