We investigated the impact of operator parameters on the diagnostic performance of anterior-segment optical coherence tomography (AS-OCT) in anterior uveitis.

Prospective comparative diagnostic analysis.

Setting: Single site.

Children younger than 18 years with anterior uveitis, recruited consecutively.

Index testing: Optovue RTVue80 AS-OCT using "low-volume" (LV, horizontal and vertical cross-sections) and "high-volume" (HV, 68 horizontal cross-sections) protocols. Reference testing: slitlamp examination with anterior chamber inflammation graded using standardization of uveitis nomenclature (SUN).

Index test performance metrics (sensitivity, specificity, and likelihood ratios), utility for "ruling-in" and "ruling-out" disease (positive/negative predictive values, PPV/NPV), receiver operating characteristic curves to explore the impact of different imaging-derived metrics, multivariable multilevel regression analyses to quantify correlation of index to reference testing, and repeatability indices across protocols.

A total of 40 children (77 eyes: 51 eyes at SUN grade 0, 10 at SUN 0.5+, 8 at SUN 1+, and 8 SUN ≥2+ or higher) were included. There was high repeatability across protocols (0.98, P < .001, 95% CI: 0.75-1.0). OCT resulted in strong predictive values for "ruling-out" (LV-scan NPV 82.9%, 95% CI: 71.5%-90.4%; HV-scan NPV 100%, 95% CI: 3%-100%) but a less predictive value for "ruling-in" SUN ≥0.5+ (LV-scan PPV 52.8%, 95% CI: 41.5%-63.7%; HV-scan PPV 34.2%, 95% CI: 33.3%-35.1%). Detection of more than 1 cell within a cross-sectional scan was strongly suggestive of clinical activity, with an area under the curve of 0.76 (95% CI: 0.62-0.89) for SUN ≥0.5+ and 0.85 (95% CI: 0.73-0.98) for the detection of SUN ≥1+. Cell count correlated with SUN grades at higher levels of inflammation (SUN ≥2+ both protocols, SUN ≥1+ HV-scans). There was an independent positive association between age and AS-OCT cell (adjusted correlation coefficient 0.2 cells for each additional year of age).

Operator-dependent factors impact the diagnostic and quantification performance of AS-OCT for anterior chamber inflammation. However, the strong, "dose-respondent" correlation of LV protocols with SUN grading promises clinical utility without the storage and analysis burden of HV approaches. Further work will involve exploration of the need for age-specific image metric interpretation.

The detection and treatment of diseases like COVID, diabetes, cancer, cardiovascular conditions, etc., have made medical imaging technology more necessary, so it is expected that the demands of imaging modalities are also increasing and are major contributors to carbon emissions in the healthcare industry. Hence, the Radiology departments, like the rest of the healthcare industry should adapt the procedures to become more sustainable.

A total of 1016 respondents completed the online survey to assess the perception, current practices, and challenges in adopting green and sustainable practices in medical imaging. The radio technologists, teaching faculties, and students of medical imaging were recruited for the study. The survey tool was distributed to the closed groups through social media and emails.

The majority of participants (66.6%) highlighted the importance of green and sustainable practices in medical imaging whereas only 21.06% of participants seem to have implemented these practices. Most of the participants give positive responses on the use of zero-lead aprons (77%), refurbished medical systems (85.8%), and eco-friendly packaging (89.5%). The mixed response was received from waste segregation and energy-saving measures. The majority (60.3%) of them have no formal education or training. However, they have a good attitude towards the willingness to adopt green practices.

There is a gap between perception and implementation of green and sustainable practices due to leadership and information barriers. Comprehensive training for stakeholders of medical imaging is crucial to fully integrate sustainability practices, possibly through webinars or educational modules.

The study's findings shed light on how important medical imaging stakeholders view green and sustainable practices as well as potential obstacles to their implementation at the local level whilst suggesting the need for exclusive training on these practices to promote sustainability.

Travel restrictions implemented during the acute phases of the COVID-19 pandemic disrupted supply chain for critical radiology consumables including contrast media (CM) leading to shortages. Consequently, some departments had to restructure their clinical workflows in accordance to recommended guidelines to ensure safe continuity of patient care. This study aimed to summarise the temporary crisis-driven recommendations with implicit environmental sustainability essence and to analyse how these measures might inform the development of a more sustainable, long-term clinical guideline for safer and cost-effective CM usage without compromising diagnostic quality.

Documents were obtained through an electronic database search together with a relevant manual search in Google Scholar and relevant reference lists. The selected documents were subjected to a pre-defined eligibility criteria for inclusion. The READ approach was employed for document analysis and a thematic analysis of the obtained data was conducted.

Of the 17 documents included, 70% (n = 12) emanate from the United States of America. The summary of the findings relate to minimising CM usage through strategic clinical approaches including optimisation of CM volumes, prioritisation of non-contrast imaging and/or alternative imaging depending on patient need without compromising diagnostic quality.

Critical lessons of sustainability essence are implicitly embedded in the policy guidelines issued during the periods of acute CM shortage in the COVID-19 pandemic. These lessons were themed around CM conservation based on: type and priority of medical imaging investigation, kind of imaging modality and use of smaller vials over multi-dose vials packaging.

The temporary crisis-driven strategies may offer critical lessons for post-pandemic service delivery to enhance patient safety while saving cost and promoting greener practice via strategic clinical and operational monitoring of CM through policy renewal, education and training and collaboration with industry partners.

This narrative review aims to present the concept of value in imaging and explore why we conduct low-value procedures, how to reduce this wasteful use, and what we could gain from reducing low-value imaging.

Imaging of low value to the patient contributes to thousands of metric tons of CO2 emissions, costing several billion US dollars annually. With a 20% reduction in low-value imaging, we would reduce the waste of resources related to 7.2 million procedures and, at the same time, reduce the risk of incidentalomas, overdiagnosis, and overtreatment and reduce wait times for patients in need of imaging services of high value. Multi-component initiatives targeting barriers in all levels of society and healthcare are needed to reduce low-value imaging. Radiographers are key actors in medical imaging and can make substantial contributions to this effort by, together with the radiologists, referrers, and managers, ensuring that all imaging procedures conducted are sustainable along four dimensions of sustainability: value, cost, risk, and environment.

Efforts to secure sustainable imaging considering the four crucial dimensions (value, cost, radiation, and environment) should be made at all levels of society and healthcare, from governmental management to the individual healthcare worker. Radiographers are vital in obtaining sustainability to ensure only sustainable imaging procedures are conducted.

When assessing the appropriateness of imaging procedures, we need to consider the environment, safety, effectiveness, and efficiency. To obtain this, we need a collective and coordinated effort locally, nationally, and internationally to deliver sustainable imaging services.

Global warming stands as a paramount public health issue of our time, and it is fundamental to explore approaches to green medical imaging departments/(MID). This study aims to map the existing actions in the literature that promote sustainable development in MID towards the promotion of environmental impact reduction.

Following the JBI methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), this literature search was conducted on MEDLINE, Embase and CINAHL to encompass studies published after 2013. Combinations of keywords and relevant terms related to environmental sustainability, recycling, medical waste, and greening radiology were applied for this review. Three independent reviewers screened abstracts, titles, and eligible full-text. Disagreement was solved through consensus.

38 out of 4630 articles met all inclusion criteria, and four additional articles were identified and added through reference search. A third of the studies included were published after 2022, and most were conducted in developed countries (36/41). Articles focused on computed tomography (9/41), magnetic resonance imaging (6/41), interventional radiology (4/41), conventional radiography (4/41), ultrasound (2/41), mixed modalities (10/41), or not applicable to an imaging modality (6/41). Four principal categories were identified to decrease ecological footprint: energy consumption, waste management, justification and environmental pollution.

To minimise the environmental impact of MIDs raising awareness and promoting education is fundamental. Examinations must be justified adequately, energy consumption must be reduced, and waste management practices need to be implemented. Further studies are required to prioritise the most effective strategies, supporting decision-making among stakeholders.

Several strategies are already possible to implement to reduce the environmental impact of MIDs and improve the healthcare outcomes for patients.

Sustainability of a product or device is currently primarily related to its environmental footprint. Here, a wider concept of sustainability is introduced for medical devices and their components in healthcare provision. Such devices sustain healthcare and patient wellbeing due to their quality specifications for material composition, product design and performance. The term quality must be intended in the most comprehensive term, including purity and biocompatibility of materials, device reliability, limited number of recalls and reduced risks as well as acceptability for patients. A close look on medical device specification shows, however, that additional parameters, such as societal, demographic and economic factors also determine medical device sustainability. The medical device life cycle, from design phase, production process to clinical application and the final disposal, also determines its impact. Recommendations for healthcare operators and managers will complete the hypothesis of this paper, that a thoroughly outlined device choice and operation together with a careful waste management of spent medical devices and their components positively affects medical device sustainability. As an example, the limited quantity of wastes and the reduced risks for adverse reaction have a positive impact on both the environmental pollution and on the costs sustained by the healthcare organisations and by the community. These factors determine both, the success of healthcare manoeuvres and the related environmental footprint.

Current cardiology guidelines assign a class of recommendation 1 for the diagnosis of chest pain to five imaging techniques based on either anatomic (coronary computed tomography angiography) or functional approaches, such as stress single-photon emission tomography, stress positron emission tomography, stress cardiovascular magnetic resonance, and stress echocardiography. The choice is left to the prescribing physician, based on local availability and expertise. However, the five techniques differ substantially in their cost, applicability based on patient characteristics, long-term risk, and environmental impact. The average European immediate cost ranges from 50 to 1000 euros. The radiation exposure ranges from 0 to 500 chest x-rays. The environmental footprint ranges from 3 to 300 kg of carbon dioxide emissions equivalent. The ethical code of the World Medical Association 2021 recommends the responsible use of healthcare money by doctors, with the minimization of potential damage to patients and the environment. The Euratom law 2013/directive 59 reinforces the justification principle and the optimization principle for medical radiation exposures, with the legal responsibility of both the referrer and the practitioner. A small cost, a minimal long-term risk, and a modest carbon emission per examination multiplied by billions of tests per year become an unaffordable economic burden in the short-term, significant population damage to public health over the years, and impacts on climate change in decades. The cardiology community may wish to adopt a more sustainable practice with affordable, radiation-optimized, and carbon-neutral practices for the benefit of patients, physicians, payers, and the planet.

Climate change is one of the direst health threats that humanity faces. We aim to estimate the carbon dioxide (CO₂) emissions associated with the energy usage from linear accelerator (LINAC)-based external beam radiation therapy (EBRT) for the most common cancer diagnoses.

We identified patients with the 4 most common cancer types treated with curative-intent EBRT. Beam-on time for each fraction was extracted from the treatment planning system and averaged over each site and treatment modality. The power was multiplied by the beam-on time in hours to yield kilowatt hours (kWh). Using the US Environmental Protection Agency Greenhouse Gas Equivalencies calculator, we converted the kWh into estimates of CO₂-equivalent emissions for the average US power grid. Idle time of the LINAC was estimated via Varian Medical Systems.

A total of 10 patients were included for each of the following modalities: conventionally fractionated for prostate cancer (28 fractions [fx]), prostate stereotactic body radiation therapy (SBRT) (5 fx), 15- and 5-fx regimens for early-stage breast cancer, 3- and 5-fx SBRT regimens for early-stage lung cancer, conventional EBRT (30 fx) for locally advanced lung cancer, and short- (5 fx) and long-course (25-28 fx) for rectal cancer. The modality with the lowest and highest carbon emissions per course, on average, was prostate SBRT (2.18 kg CO₂; interquartile range, 1.92-2.30) and conventional treatment for prostate cancer (17.34 kg CO₂; interquartile range, 10.26-23.79), respectively. This corresponds to CO₂-equivalent emissions of driving an average of 5.4 miles and 41.2 miles in a standard vehicle, respectively. "Standby" mode for a LINAC TrueBeam and Clinac IX uses 112 kWh and 64.8 kWh per day, respectively.

We have estimated CO₂ emissions arising from direct energy usage of a LINAC for 4 common cancers treated with EBRT. "Standby" mode of a LINAC uses the most energy per day. Comprehensive studies are warranted to minimize the environmental effects of health and cancer care.

For the past 40 years, the methodology for stress echocardiography (SE) has remained basically unchanged. It is based on two-dimensional, black and white imaging, and is used to detect regional wall motion abnormalities (RWMA) in patients with known or suspected coronary artery disease (CAD). In the last five years much has changed and RWMA is not enough on its own to stratify patient risk and dictate therapy. Patients arriving at SE labs often have comorbidities and are undergoing full anti-ischemic therapy. The SE positivity rate based on RWMA fell from 70% in the eighties to 10% in the last decade. The understanding of CAD pathophysiology has shifted from a regional hydraulic disease to a systemic biologic disease. The conventional view of CAD encouraged the use of coronary anatomic imaging for diagnosis and the oculo-stenotic reflex for the deployment of therapy. This has led to a clinical oversimplification that ignores the lessons of pathophysiology and epidemiology, and in fact, CAD is not synonymous with ischemic heart disease. Patients with CAD may also have other vulnerabilities such as coronary plaque (step A of ABCDE-SE), alveolar-capillary membrane and pulmonary congestion (step B), preload and contractile reserve (step C), coronary microcirculation (step D) and cardiac autonomic balance (step E). The SE methodology based on two-dimensional echocardiography is now integrated with lung ultrasound (step B for B-lines), volumetric echocardiography (step C), color- and pulsed-wave Doppler (step D) and non-imaging electrocardiogram-based heart rate assessment (step E). In addition, qualitative assessment based on the naked eye has now become more quantitative, has been improved by contrast and based on cardiac strain and artificial intelligence. ABCDE-SE is now ready for large scale multicenter testing in the SE2030 study.