Positive Leadership within Breast Imaging: Impact on Burnout, Intent to Leave, and Engagement.

Background High rates of provider burnout and turnover, as well as staffing shortages, are creating crises within radiology departments. Identifying ways to support health care workers, such as the Positively Energizing Leadership program, is important during these ongoing crises. Purpose To identify the relationship between leadership behaviors and workplace climate and health care worker outcomes (ie, burnout, intent to leave, and engagement) and to determine whether the positive leadership program could improve workplace climate and health care worker outcomes. Materials and Methods This prospective study involved two parts. First, a web-based survey was administered to faculty and staff in a breast imaging unit of a large academic medical center in February 2021 to identify relationships between leadership behaviors and workplace climate and health care worker outcomes. Second, a web-based survey was administered in February 2023, following the implementation of a positive leadership program, to determine improvement in engagement and reduction of burnout and intent to leave since 2021. Multiple regression, the Sobel test, Pearson correlation, and the t test were used, with a conservative significance level of P < .001. Results The sample consisted of 88 respondents (response rate, 95%) in 2021 and 85 respondents (response rate, 92%) in 2023. Leadership communication was associated with a positive workplace climate (ß = 0.76, P < .001) and a positive workplace climate was associated with improved engagement (ß = 0.53, P < .001), reduction in burnout (ß = -0.42, P < .001), and reduction in intent to leave (ß = -0.49, P < .001). Following a 2-year positive leadership program, improved perceptions were observed for leadership communication (pretest mean, 4.59 ± 1.51 [SD]; posttest mean, 5.80 ± 1.01; t = 5.97, P < .001), workplace climate (pretest mean, 5.09 ± 1.43; posttest mean, 5.77 ± 1.11; t = 3.35, P < .001), and engagement (pretest mean, 5.27 ± 1.20, posttest mean, 5.68 ± 0.96; t = 2.50, P < .01), with a reduction in burnout (pretest mean, 2.69 ± 0.94; posttest mean, 2.18 ± 0.74; t = 3.50, P < .001) and intent to leave (pretest mean, 3.12 ± 2.23; posttest mean, 2.56 ± 1.84; t = 1.78, P < .05). Conclusion After implementation of a positive leadership program in a radiology department breast imaging unit, burnout and intention to leave decreased among health care workers, while engagement increased. © RSNA, 2024 See also the editorial by Thrall in this issue.

Reporting radiographers in Norway - A qualitative study on implementation, organisation, and outcomes.

INTRODUCTION: Worldwide, there is an increasing use of imaging services and a shortage of radiologists. One potential solution to this challenge involves introducing task shifting, where radiographers actively contribute to reporting diagnostic images alongside radiologists. This study explored the purpose and value of reporting radiographers in Norway's imaging departments. METHODS: This study used a qualitative design with a descriptive approach. Semi-structured interviews were conducted with eleven participants, comprising managers, radiologists, and reporting radiographers, from four hospital trusts in south Norway. The collected data were analysed using inductive content analysis. RESULTS: The analysis generated three main categories: "Organisation," "Barriers and facilitators," and "Experienced outcome." The study showed that successfully implementing reporting radiographers required careful planning and preparation due to radiologists' resistance. The radiologists and managers experienced that reporting radiographers contributed to increased service quality and better training of radiographers and resident physicians. Reporting radiographers found the combination of reporting and diagnostic radiography tasks rewarding and challenging simultaneously. CONCLUSION: The implementation of reporting radiographers in imaging departments in Norway was described as successful, positively impacting service quality, reporting capacity, and quality development. However, preparation and planning are needed to overcome barriers to task-shifting. IMPLICATIONS FOR PRACTICE: This study shows that with management involvement and careful planning, reporting radiographers contribute to a high-quality imaging service.

Planetary Health and Radiology: Why We Should Care and What We Can Do.

Climate change adversely affects the well-being of humans and the entire planet. A planetary health framework recognizes that sustaining a healthy planet is essential to achieving individual, community, and global health. Radiology contributes to the climate crisis by generating greenhouse gas (GHG) emissions during the production and use of medical imaging equipment and supplies. To promote planetary health, strategies that mitigate and adapt to climate change in radiology are needed. Mitigation strategies to reduce GHG emissions include switching to renewable energy sources, refurbishing rather than replacing imaging scanners, and powering down unused scanners. Radiology departments must also build resiliency to the now unavoidable impacts of the climate crisis. Adaptation strategies include education, upgrading building infrastructure, and developing departmental sustainability dashboards to track progress in achieving sustainability goals. Shifting practices to catalyze these necessary changes in radiology requires a coordinated approach. This includes partnering with key stakeholders, providing effective communication, and prioritizing high-impact interventions. This article reviews the intersection of planetary health and radiology. Its goals are to emphasize why we should care about sustainability, showcase actions we can take to mitigate our impact, and prepare us to adapt to the effects of climate change. © RSNA, 2024 Supplemental material is available for this article. See also the article by Ibrahim et al in this issue. See also the article by Lenkinski and Rofsky in this issue.

'You make the call': Improving radiology staff scheduling with AI-generated self-rostering in a medical imaging department.

INTRODUCTION: New Zealand's shortage of medical imaging technicians has intensified due to factors like illness, the pandemic, and an ageing workforce. Addressing staff retention issues requires attention to intrinsic factors like workplace satisfaction and work-life balance. Self-rostering has proven effective in healthcare by enhancing work-life balance, job satisfaction, and retention, but it has not been implemented widely in radiology. This study aimed to explore the perceptions, benefits, and challenges of implementing AI-generated self-rostering in a radiology department through simulated trials. METHODS: This study simulated an AI-generated roster in a regional New Zealand radiology department, engaging 23 staff members. A mixed-methods approach included surveys and discussion groups. Community-based participatory action methodology guided discussion groups and informed modifications. RESULTS: The AI-generated self-rostering method demonstrated success by meeting a high percentage of shift preferences while fulfilling service demands. Participants perceived potential benefits in work-life balance and autonomy, though uncertainties persisted regarding implementation and fairness. Despite staff reservations, we found that an AI-generated self-rostering system may be fairer than manual self-rostering, while saving radiology staff time and cost. CONCLUSION: AI-generated self-rostering offers an innovative solution to an old problem. This self-rostering system provides a fair way for staff to have a say in the shifts they do, which increases feelings of work-life balance and autonomy. In this simulation, AI-generated self-rostering was well received, and most staff were receptive to moving to pilot the programme. IMPLICATIONS FOR PRACTICE: Self-rostering could be a potential solution to staff retention issues in radiology; we recommend a pilot study is implemented. When switching to self-rostering, departments should consider implementing one-on-one support systems to assist staff with entering preferences. Education is essential to encourage staff understanding and cooperation.

The mobile X-ray service and hip fractures: The impact of the mobile X-ray service on the hip fast track.

INTRODUCTION: Hip fracture is a serious affliction that requires fast care and an X-ray examination, which are provided by an ambulance and a visit to the radiology department, respectively. If a well-functioning mobile X-ray service could be developed, by examining the patient in their own home, both the work strain of hospital workers and patient suffering could be reduced. The purpose of this study was to determine if the mobile X-ray service could be a supplement to the fast-track process that is utilised by the ambulance service. The study also examines other department's opinion of this implementation. METHODS: A mixed method was used where data from a Swedish hospital's local RIS/PACS was collected from 706 patients for quantitative analysis, and six personnel working at the hospital were interviewed to obtain qualitative data. RESULTS: The quantitative data demonstrates that the actual mobile X-ray service cannot act in such an acute manner as an ambulance service due to the staffing problems that the hospital is faced with, but with optimal staffing, radiographs with mobile X-ray service could be performed within an acute timeframe. The qualitative data shows that there is a strong wish for the mobile X-ray service to expand and be more active, but this requires a better staffing situation in the radiology department and better communication possibilities between other departments. CONCLUSION: The mobile X-ray service is desirable in the investigated region, and it could benefit both the emergency ward and the ambulance service, and it could function as infection control for geriatric patients, but more radiographers on staff is required if the service should be functional as a complement to the hip-"fast track". More studies on the subject are required. IMPLICATION FOR PRACTICE: A wide generalisation of the results is not applicable in this study, as mobile X-ray and the "hip fast track" is not a widespread service throughout Sweden. This means that this study only suggests trends, which needs to be studied further.

State of Academic Radiology: Current Challenges, Future Adaptations.

There are approximately 200 academic radiology departments in the United States. While academic medical centers vary widely depending on their size, complexity, medical school affiliation, research portfolio, and geographic location, they are united by their 3 core missions: patient care, education and training, and scholarship. Despite inherent differences, the current challenges faced by all academic radiology departments have common threads; potential solutions and future adaptations will need to be tailored and individualized-one size will not fit all. In this article, we provide an overview based on our experiences at 4 academic centers across the United States, from relatively small to very large size, and discuss creative and innovative ways to adapt, including community expansion, hybrid models of faculty in-person vs teleradiology (traditional vs non-traditional schedule), work-life integration, recruitment and retention, mentorship, among others.

Implantación de un protocolo de angio-TC coronaria basado en el índice de masa corporal: reducción de dosis, calidad de imagen y rendimiento diagnóstico / Implementing a coronary CT angiography protocol based on the body mass index: radiation dose reduction, image quality, and diagnostic performance

Objetivos: Valorar la relación entre el score de calcio coronario y la elección posterior del kilovoltaje según el criterio del radiólogo en un protocolo estándar (PE) de angio-TC coronaria (aTCC) para descartar enfermedad coronaria. Cuantificar la reducción de la radiación ionizante después de vincular el kilovoltaje al índice de masa corporal en un protocolo de baja dosis (PBD) con reconstrucción iterativa de modelado. Valorar la calidad de imagen y el rendimiento diagnóstico del PBD. Material y método: Las características antropométricas, el score de calcio, los niveles de kilovoltaje y los valores de dosis estimada específica para el tamaño (SSDE) y del producto dosis-longitud fueron comparados entre un grupo de 50 pacientes con PBD reclutados prospectivamente y una cohorte histórica adquirida con el PE. Estos parámetros, el número de segmentos coronarios no valorables sin y con tolerancia de fase, la atenuación y la relación señal-ruido en la aorta ascendente en el PBD fueron correlacionados con una calidad de imagen de nivel excelente según una escala semicuantitativa. El rendimiento diagnóstico por paciente fue calculado usando la revaloración clínica a los 24 meses como el método diagnóstico de referencia, incluyendo las pruebas derivadas. Resultados: En el PE existía una relación entre la presencia de calcio coronario y la elección de kilovoltajes altos (p=0,02), que desaparecía en el PBD (p=0,47). Los valores de SSDE y de DLP en el PBD fueron significativamente inferiores y presentaron menor dispersión que en el PE (9,22 mGy [RIQ 7,84-12,1 mGy] y 97 mGy*cm [RIQ 78-134 mGy*cm] contra 26,5 mGy [RIQ 21,3-36,3 mGy] y 253 mGy*cm [RIQ 216-404 mGy*cm]; p <0,001 para las comparaciones de las medianas y de las dispersiones entre ambos grupos)...(AU)

Objectives: To evaluate the relation between the coronary calcium score and the posterior choice of kilovoltage according to radiologists’ criteria in a standard coronary CT angiography protocol to rule out coronary disease. To quantify the reduction in ionizing radiation after linking kilovoltage to patients’ body mass index in a low-dose protocol with iterative model reconstruction. To evaluate the image quality and diagnostic performance of the low-dose protocol. Material and methods: We compared anthropometric characteristics, calcium score, kilovoltage levels, size-specific dose estimates (SSDE), and the dose-length product (DLP) between a group of 50 patients who were prospectively recruited to undergo coronary CT angiography with a low-dose protocol and a historical group of 50 patients who underwent coronary CT angiography with the standard protocol. We correlated these parameters, the number of coronary segments that could not be evaluated with and without temporal padding, the attenuation, and the signal-to-noise ratio in the ascending aorta in the low-dose protocol with excellent imaging quality according to a semiquantitative scale. To calculate the diagnostic performance per patient, we used 24-month clinical follow-up including all tests as the gold standard. Results: In the standard protocol, the presence of coronary calcium correlated with the selection of high kilovoltage (P=0.02); this correlation was not found in the low-dose protocol (P=0.47). Median values of SSDE and DLP were significantly (P<0.001) lower and less dispersed in the low-dose protocol [9.22 mGy (IQR 7.84-12.1 mGy) vs. 26.5 mGy (IQR 21.3-36.3 mGy) in the standard protocol] and [97mGy*cm (IQR 78-134mGy*cm) vs. 253mGy*cm (IQR 216-404mGy*cm) in the standard protocol], respectively...(AU)

Los profesores de radiodiagnóstico en pregrado / Undergraduate Radiodiagnostic professors

La literatura internacional plantea un doble componente en el perfil profesional del profesor universitario: el conocimiento del contenido (content knowledge) y el conocimiento didáctico del contenido (pedagogical content knowledge). En cuanto al contenido, el área de conocimiento de radiología y medicina física está compuesta por diferentes especialidades médicas entre las que se encuentran radiodiagnóstico, medicina nuclear, oncología radioterápica, medicina física y rehabilitación. Por su parte, el conocimiento didáctico del contenido está enmarcado por todo lo que ha significado la Declaración de Bolonia (1999). Centrándonos en el radiodiagnóstico, los candidatos idóneos deben ser profesionales de esta especialidad médica, vocacionales y que hallen en el proceso docente de pregrado una oportunidad de transmitir sus conocimientos, experiencias y valores de una forma amena y comprensible para alumnos que se incorporan al conocimiento médico.(AU)

The international literature on university teaching, has insisted on the need to combine a double component in the professional profile of teachers: content knowledge and pedagogical content knowledge. Regarding the content, the area of knowledge of Radiology and Physical Medicine is made up of different medical specialties, among which are Radiodiagnosis, Nuclear Medicine, Radiation Oncology, Physical Medicine and Rehabilitation. On the other hand, the pedagogical content knowledge is framed by framework that the Bologna Declaration (1999). Focusing on Radiodiagnosis, the ideal candidates must be professionals in this medical specialty, vocational teachers and people who find in the undergraduate teaching process an opportunity to transmit their knowledge, experiences and values in an entertaining and understandable way for students who are incorporated into medical knowledge.(AU)

Sustainable reduction of phone-call interruptions by 35% in a medical imaging department using an automatic voicemail and custom call redirection system.

BACKGROUND: Have you ever been in the trenches of a complicated study only to be interrupted by a not-so urgent phone-call? We were, repeatedly- unfortunately. PURPOSE: To increase productivity of radiologists by quantifying the main source of interruptions (phone-calls) to the workflow of radiologists, and too assess the implemented solution. MATERIALS AND METHODS: To filter calls to the radiology consultant on duty, we introduced an automatic voicemail and custom call redirection system. Thus, instead of directly speaking with radiology consultants, clinicians were to first categorize their request and dial accordingly: 1. Inpatient requests, 2. Outpatient requests, 3. Directly speak with the consultant radiologist. Inpatient requests (1) and outpatient requests (2) were forwarded to MRI technologists or clerks, respectively. Calls were monitored in 15-minute increments continuously for an entire year (March 2022 until and including March 2023). Subsequently, both the frequency and category of requests were assessed. RESULTS: 4803 calls were recorded in total: 3122 (65 %) were forwarded to a radiologist on duty. 870 (18.11 %) concerned inpatients, 274 (5.70 %) outpatients, 430 (8.95 %) dialed the wrong number, 107 (2.23 %) made no decision. Throughout the entire year the percentage of successfully avoided interruptions was relatively stable and fluctuated between low to high 30 % range (Mean per month 35 %, Median per month 34.45 %). CONCLUSIONS: This is the first analysis of phone-call interruptions to consultant radiologists in an imaging department for 12 continuous months. More than 35 % of requests did not require the input of a specialist trained radiologist. Hence, installing an automated voicemail and custom call redirection system is a sustainable and simple solution to reduce phone-call interruptions by on average 35 % in radiology departments. This solution was well accepted by referring clinicians. The installation required a one-time investment of only 2h and did not cost any money.

Assessing the Relationship between Radiology Department Research Funding and Institutional Community Inclusion and Investment.

Background Health care access disparities and lack of inclusion in clinical research have been well documented for marginalized populations. However, few studies exist examining the research funding of institutions that serve historically underserved groups. Purpose To assess the relationship between research funding awarded to radiology departments by the National Institutes of Health (NIH) and Lown Institute Hospitals Index rankings for inclusivity and community benefit. Materials and Methods This retrospective study included radiology departments awarded funding from the NIH between 2017 and 2021. The 2021 Lown Institute Hospitals Index rankings for inclusivity and community benefit were examined. The inclusivity metric measures how similar a hospital's patient population is to the surrounding community in terms of income, race and ethnicity, and education level. The community benefit metric measures charity care spending, Medicaid as a proportion of patient revenue, and other community benefit spending. Linear regression and Pearson correlation coefficients (r values) were used to evaluate the relationship between aggregate NIH radiology department research funding and measures of inclusivity and community benefit. Results Seventy-five radiology departments that received NIH funding ranging from $195 000 to $216 879 079 were included. A negative correlation was observed between the amount of radiology department research funding received and institutional rankings for serving patients from racial and/or ethnic minorities (r = -0.34; P < .001), patients with low income (r = -0.44; P < .001), and patients with lower levels of education (r = -0.46; P < .001). No correlation was observed between the amount of radiology department research funding and institutional rankings for charity care spending (r = -0.19; P = .06), community investment (r = -0.04; P = .68), and Medicaid as a proportion of patient revenue (r = -0.10; P = .22). Conclusion Radiology departments that received more NIH research funding were less likely to serve patients from racial and/or ethnic minorities and patients who had low income or lower levels of education. © RSNA, 2024 See also the editorial by Mehta and Rosen in this issue.

A "global village": promoting research and careers in the pediatric radiology community through diversity.

There is a severe shortage of pediatric radiologists in the USA and across the globe due to multiple factors. These severe shortages, along with increased clinical demand, growing research costs and limited funding sources place pediatric radiologists, particularly those in academic departments, under increasing time pressure, affecting their ability to maintain research productivity. In this paper, we model a new concept that should help boost the research efforts within the pediatric radiology community, while diversifying the academic workforce through the involvement of international medical graduates (IMGs). We describe the mutual advantages this concept could have on academic pediatric radiology departments and IMGs alike, as well as pose some of the unique challenges that could impact this concept and effective strategies to ensure success.

Identifying delays in the outpatient interventional radiology department: a quality improvement study.

INTRODUCTION: In the post-COVID 19 environment, it has become increasingly important for healthcare services to optimise service delivery for the benefit of both patients and staff. The project purpose was to quantify and determine causes of throughput delays in a newly established outpatient angiography service in a public hospital setting. METHODS: This single-centre study obtained quantitative and qualitative data for 81 consecutive outpatient interventional radiology (IR) examinations over a 3-month period via survey and retrospective analysis of electronic medical records. Staff participating in data collection were able to record multiple causes for delay in a single case and were also able to include comments, allowing for more detailed descriptions of the delays that occurred. RESULTS: A total of 93 delay factors were identified in 73 of the 81 outpatient interventional examinations and grouped into six categories via thematic analysis. Availability of the IR room (40%), availability of the radiologist (28%) and insufficient documentation (18%) were identified as the most frequent causes for delay. Linear regression analysis showed that documentation (P = 0.0002) and room unavailability (P = 0.022) were independently associated with procedural starting delay. CONCLUSION: Delays to the IR procedural start time occurred in 90% of cases (73/81). This study identified the causes for delays in outpatient interventional procedures. This information can be used to improve service delivery in IR departments.

Unreimbursed Costs of Multidisciplinary Conferences to a Radiology Department: A Prospective Analysis at an Academic Medical Center.

PURPOSE: Multidisciplinary conferences (MDCs) are important for clinical care but are unreimbursed and can be time-consuming for radiologists to prepare for and present. The purpose of this single-center, prospective, survey-based study is to measure the per-conference time and total time radiologists devote to MDCs at a single academic medical center. Secondary objectives are to determine the source of radiologist preparation time, and calculate the per conference and overall radiology departmental costs of MDC participation. METHODS: A prospective survey was performed to capture all radiology preparation and presentation time for MDCs in a 3-month period, which was then annualized. Total cost was calculated on the basis of Association of Administrators in Academic Radiology survey data for nonchair academic radiologist compensation plus a 30% fringe-benefit rate. RESULTS: The survey response rate was 86.9%. A total of 3,358 hours were devoted annually to MDCs, which represents time equivalent to 1.9 full-time equivalents or $1,155,152 in unreimbursed radiology departmental costs. Per-MDC total preparation and presentation time was 2.7 hours, at an annual cost of $46,440 for each weekly MDC. Radiologists used a combination of personal time (49.7%), academic time (42%), and/or clinical time (35.4%) to prepare for MDCs. Radiologists devoted a mean of 47.9 hours (1.2 weeks) of time per annum to MDCs. CONCLUSIONS: Radiologist time devoted to MDCs at the survey institution was substantial, and preparation time was drawn disproportionately from personal and academic time, which may have negative implications for burnout, recruitment and retention, and academic productivity unless it is effectively mitigated.

A CT Scan of Our Earth: The Radiology Department's How-To Guide for Addressing Planetary Health.

The planet has a fever, and it is getting worse. Climate change manifests through mechanisms such as extreme weather, shifting disease burden, wildfires, and drought, which all have negative implications on human health. Simultaneously, the health care sector is responsible for 4.6% of global greenhouse gas emissions. As users of some of the hospital's most energy-intensive equipment, radiology departments are key stakeholders in the transition to clean energy. The authors propose a framework to guide radiology departments to advance health care sustainability. The approach outlines how a radiology department can reduce its environmental footprint through appointing a sustainability officer, forming a dedicated green team, incorporating sustainability into the departmental strategic plan, quantifying total greenhouse gas emissions, committing to education, and advocating for systemic change. By delineating a structured path, the authors hope to encourage the transition toward environmentally friendly practices in all radiology practice settings.

Eficacia de la capacidad y la eficiencia pronósticas de la herramienta de inteligencia artificial Thoracic Care Suite de GE aplicada a la radiografía torácica de pacientes con neumonía COVID-19 / Performance in prognostic capacity and efficiency of the Thoracic Care Suite GE AI tool applied to chest radiography of patients with COVID-19 pneumonia

Objetivo: La rápida progresión de la neumonía COVID-19 puede implicar la necesidad de recurrir a sistemas de respiración asistida, como la ventilación mecánica no invasiva o la intubación endotraqueal. La introducción de herramientas que detecten la neumonía COVID-19 puede mejorar la atención sanitaria de los pacientes. Nuestro objetivo es evaluar la eficacia y la eficiencia de la herramienta de inteligencia artificial (IA) Thoracic Care Suite de GE Healthcare (que incorpora Lunit Insight CXR) para predecir la necesidad de recurrir a la respiración asistida en función de la progresión de la neumonía en la COVID-19 en radiografías torácicas consecutivas. Métodos: Se incluyó a pacientes ambulatorios con infección por SARS-CoV-2 confirmada, con hallazgos probables o indeterminados de neumonía COVID-19 en la radiografía torácica (RXT) y que necesitaron una segunda RXT debido a la evolución clínica desfavorable. En las 2RXT se evaluaron el número de campos pulmonares afectados mediante la herramienta de IA. Resultados: Se incluyó a 114 pacientes (57,4±14,2 años; 65 de ellos varones, el 57%) de forma retrospectiva; 15 pacientes (el 13,2%) precisaron respiración asistida. La progresión de la diseminación neumónica ≥0,5 campos pulmonares al día en comparación con el inicio de la neumonía, detectada mediante la herramienta TCS, cuadruplicó el riesgo de precisar respiración asistida. El análisis de los resultados de IA precisó 26 segundos. Conclusiones: Aplicar la herramienta de IA, Thoracic Care Suite, a la RXT de pacientes con neumonía COVID-19 nos permite predecir la necesidad de recurrir a la respiración asistida en menos de medio minuto.(AU)

Objective: Rapid progression of COVID-19 pneumonia may put patients at risk of requiring ventilatory support, such as non-invasive mechanical ventilation or endotracheal intubation. Implementing tools that detect COVID-19 pneumonia can improve the patient's healthcare. We aim to evaluate the efficacy and efficiency of the artificial intelligence (AI) tool GE Healthcare's Thoracic Care Suite (featuring Lunit Insight CXR, TCS) to predict the ventilatory support need based on pneumonic progression of COVID-19 on consecutive chest X-rays. Methods: Outpatients with confirmed SARS-CoV-2 infection, with chest X-ray (CXR) findings probable or indeterminate for COVID-19 pneumonia, who required a second CXR due to unfavorable clinical course, were collected. The number of affected lung fields for the 2CXRs was assessed using the AI tool. Results: One hundred fourteen patients (57.4±14.2 years; 65 of them were men, 57%) were retrospectively collected; and 15 (13.2%) required ventilatory support. Progression of pneumonic extension ≥ 0.5 lung fields per day compared to pneumonia onset, detected using the TCS tool, increased the risk of requiring ventilatory support by 4-fold. Analyzing the AI output required 26seconds of radiological time. Conclusions: Applying the AI tool, Thoracic Care Suite, to CXR of patients with COVID-19 pneumonia allows us to anticipate ventilatory support requirements requiring less than half a minute.(AU)

An assessment of radiation safety practices for transgender and gender non-binary patients in Irish radiology departments.

INTRODUCTION: Studies indicate there may be inadequate care given to transgender and non-binary (TGNB) patients in healthcare environments, with radiology departments not being equipped to cater for this group. There is currently a deficit in research concerning the use of radiation safety measures for TGNB patients. The purpose of this research was to examine opinions of Irish Radiation Safety Experts (RSE) on current status of radiation safety protocols and techniques in place for TGNB patients and consider any changes necessary. METHODOLOGY: Ten semi-structured interviews were conducted with RSEs from eight Irish hospitals, including five radiation protection officers (RPO) and five medical physicists. Question included: current radiation safety protocols for TGNB patients, potential issues and challenges with current practice, and recommendations of new measures. Coding was used to facilitate content analysis for interpretation of findings. RESULTS: No reference to TGNB patients in local policies or guidelines was evident. Interviews established key radiation safety risks including inadvertent exposure of the foetus and insensitive patient care. Prominent categories identified included additional education, gender identification at patient registration and consideration of current policies and guidelines. The extent to which RSEs promoted the implementation of further measures to radiology departments varied. CONCLUSIONS: A clear lack of guidance and instruction for radiation safety for TGNB patients is evident. Whilst there are few TGNB patients in Irish hospitals, participants believed that inclusive changes should be made concurrent with Ireland's evolving culture and in the interest of equality of patient safety. IMPLICATIONS FOR PRACTICE: Inclusive changes should be made to radiology departments concurrent with Ireland's evolving culture. However, barriers to implementing such measures include a lack of available resources, investment, and instruction from authoritative bodies.

Measurement of radiologist reporting times: Assessment of precision, comparison of three different measurement techniques and review of potential applications.

INTRODUCTION: Radiologist reporting times are a key component of radiology department workload assessment, but reliable measurement remains challenging. Currently, there are three contenders for this task: median reporting times (MRTs), extracted directly from a department's radiology information system (RIS); study-ascribed times (SATs), using published tables of individual descriptors derived from a combination of measurement and consensus; and radiology reporting figures (RRFs), using published tables of measured times based on modality and numbers of anatomical areas. METHODS: We review these techniques, their possible uses and some potential pitfalls. We discuss the level of precision that can realistically be attained in measuring reporting times, and list the strengths and weaknesses of each technique, comparing them in relation to each of eight potential applications. RESULTS: We believe that SATs are challenging for practical use due to their static nature, absent common descriptors and large number. RRFs are more user-friendly but are also static and require ongoing updates; currently, they do not include ultrasound. MRTs cannot currently be extracted from every RIS, but where available they are easy to use and their dynamic nature provides the most objective data. They underestimate the unmeasurable components of a radiologist's work and therefore the total time spent in a reporting session. CONCLUSION: MRTs are superior to the other methods in flexibility, precision and ease of use. All institutions should have access to this data and we call on vendors of Radiology Information Systems which are currently not capable of providing it to make the necessary modifications.

TC torácica en espiración. Cuándo la hago y cómo la interpreto / Expiratory CT scan: When to do it and how to interpret it

La TC torácica en espiración es una técnica complementaria de la inspiración que aporta valiosa información fisiológica y puede ser más sensible que las pruebas de función respiratoria para detectar atrapamiento aéreo. Tiene múltiples indicaciones, entre las más frecuentes están la enfermedad obstructiva de la vía aérea producida por bronquiolitis obliterante, asma, síndrome de Swyer-James, traqueomalacia, neumonitis por hipersensibilidad o sarcoidosis. En alguna de ellas, como la bronquiolitis obliterante, la TC espiratoria puede ser la única técnica de imagen que detecta alteraciones en las fases iniciales. Si queremos que sea de utilidad diagnóstica, hay que asegurarse de que el estudio tenga calidad suficiente. Para ello se recomienda explicar al paciente en qué consiste la prueba, emplear instrucciones precisas y realizar un breve entrenamiento antes de iniciar la adquisición. En este trabajo sugerimos estrategias para optimizar la técnica y proponemos un algoritmo para interpretar los hallazgos radiológicos en el contexto de la patología obstructiva pulmonar.(AU)

Expiratory CT scan is a complementary technique of inspiratory CT that provide valuable physiological information and may be more sensitive to detect air trapping than pulmonary function tests. It is useful in many obstructive airway diseases, including obliterative bronchiolitis, asthma, Swyer-James syndrome, tracheomalacia, hypersensitivity pneumonitis and sarcoidosis. In obliterative bronchiolitis, expiratory CT scan may be the only imaging technique that shows abnormalities in the early phase of disease. In order to obtain a good quality study, we should explain the procedure to the patient, use precise instructions and do some practice before image acquisition. Here we describe strategies to optimize the technique and propose an algorithm that help in interpretation of imaging findings in patients with obstructive airway disease.(AU)