Search

Background: Evaluating emergency room nurses' knowledge of radiation protection, health effects, and decontamination procedures is crucial for preparedness in nuclear and radiological emergencies. This study aims to evaluate the level of knowledge among emergency nurses in Saudi Arabia regarding medical responses to nuclear and radiological emergencies. Methods: A multicenter cross-sectional study was conducted via a self-structured questionnaire with 15 true‒false questions divided into three domains, namely, radiation protection measures, radiation health effects, and decontamination procedures, each with five items and a possible score of 1 point per correct answer. The collected data were analyzed via descriptive and inferential statistics. The study followed the STROBE checklist for methodological rigor. Results: A total of 594 emergency nurses participated in this study, with the majority being young (64.50% aged ≤ 30), female (68.69%), bachelor's degree-holding (67.68%), single (63.64%), having ≤ 4 years of experience (56.06%), working in public health facilities (88.89%), and lacking training in medical response (85.35%). The mean knowledge scores for participants were highest for radiation exposure effects (3.27 ± 0.91), followed by radiation protective measures (2.32 ± 0.99), and lowest for decontamination procedures (1.46 ± 1.07). Overall knowledge was measured at a mean score of 7.06 ± 1.68, with 97.47% of the nurses categorized as having poor knowledge level. Nurses in private hospitals scored higher (7.77 ± 1.82) than those in public hospitals (6.97 ± 1.65) on overall mean knowledge (P = 0.034). Concerning findings include emergency nurses' misconceptions about the protection provided by dense materials, the effectiveness of increasing distance from a radiation source, and prioritizing decontamination of victims over life-saving measures. Additionally, they were unaware of the immediate symptoms following radiation exposure and misunderstood that the primary threat in a radioactive bomb event is the explosion rather than the radiation itself. Conclusion: This study revealed poor knowledge among emergency nurses regarding medical responses to radiation emergencies and highlighted the critical need for enhanced and standardized training in radiation emergency preparedness among nurses. The gaps in knowledge identified in this study could significantly impact the effectiveness of healthcare responses in radiation emergency scenarios. Therefore, targeted educational interventions and policy changes are recommended to address these shortcomings. [ABSTRACT FROM AUTHOR]

Purpose: To explore actions taken by health care professionals during a procedure with a child with autism spectrum disorder Design and Method: Critical incident technique was used, which is a technique with a qualitative descriptive retrospective design, to capture situations experienced by health care professionals during a procedure in an anaesthesia or radiology department. Health care professionals from anaesthesia and radiology departments (n = 20) were interviewed about situations affecting the procedure. Results: The findings revealed a broad range of actions (n = 205) taken by the health care professionals during a procedure with a child with autism spectrum disorder. The analysis resulted in two main areas: Finding a way to facilitate a procedure in a high technology environment and Creating a trustful relationship with a child with autism spectrum disorder. The most common action in the first area, was to adjust routines. In the second area the most common action was to take one step at a time and not force or rush the child during the procedure. Practice Implications: The health care professionals used a broad range of different actions to facilitate a procedure in the high technology environment for a child with ASD, which indicates the need for a flexible approach. The actions taken included both adjustments to the environment and enhancing interactions with the child. [ABSTRACT FROM AUTHOR]

Purpose: In this case study, the authors aimed to investigate the usefulness of five interactive workshops on leadership skills relevant to academic physicians for their professional fulfillment. Workshops were led by experts in finance, negotiation, business administration and digital tools and enhanced a practical understanding of skills in 1) financial investment; 2) growing clout on social media; 3) negotiation; 4) navigating institutional culture as a woman; and 5) conflict management. Design/methodology/approach: Workshops were deployed to faculty in the departments of Radiology and Psychiatry. Attendance at seminars was captured, categorized as in-person (when offered), virtual-live or virtual-recording views post hoc. The authors also collected responses to a brief, 5-question survey which assessed faculty familiarity with the topic pre-and post-seminar and evaluated the perceived relevance of the topic to professional fulfillment. Findings: The highest attendance was for the seminar on financial investments, and the lowest attendance was for that on conflict management. The seminar that the highest proportion of respondents deemed important as a leadership skill was on the topic of navigating institutional culture as a woman in the workplace. The seminar that focused on cultivating clout on social media was the seminar that the highest proportion of respondents deemed worth attending. Originality/value: From this case study, the authors learned that financial literacy, discerning institutional culture, managing conflicts, negotiating and using digital tools are topics which have relevance to physician professional fulfillment. Such topics could be valuable as the building blocks for future programs which provide leadership training to physicians. [ABSTRACT FROM AUTHOR]

Introduction: Artificial Intelligence (AI) is becoming an essential part of modern radiology. However, available evidence highlights issues in the real-world applicability of AI tools and mixed radiologists' acceptance. We aimed to develop and validate a questionnaire to evaluate the attitude of radiologists toward radiology AI (ATRAI-14). Materials and Methods: We generated items based on the European Society of Radiology questionnaire. Item reduction yielded 23 items, 12 of which contribute to scoring. The items were allocated into four domains ("Familiarity", "Trust", "Implementation Perspective", and "Hopes and Fears") and a part related to the respondent's demographics and professional background. As a pre-test method, we conducted cognitive interviews with 20 radiologists. Pilot testing with reliability and validity assessment was carried out on a representative sample of 90 respondents. Construct validity was assessed via confirmatory factor analysis (CFA). Results: CFA confirmed the feasibility of four domains structure. ATRAI-14 demonstrated acceptable internal consistency (Cronbach's Alpha 0.78 95%CI [0.68, 0.83]), good test–retest reliability (ICC = 0.89, 95% CI [0.67, 0.96], p-value < 0.05), and acceptable criterion validity (Spearman's rho 0.73, p-value < 0.001). Conclusions: The questionnaire is useful for providing detailed AI acceptance measurements for making management decisions when implementing AI in radiology. [ABSTRACT FROM AUTHOR]

Background: Osteoporotic fractures signal severely compromised bone strength and are associated with a greatly increased risk of refracture. Despite the availability of effective and safe medications that reduce fracture risk, 70–80% of patients are inadequately investigated or treated for osteoporosis following an initial fracture, constituting a significant 'osteoporosis care gap'. Optimal methods of bridging this gap with primary care at the forefront of secondary fracture prevention remain undetermined. This protocol describes a cluster randomised controlled trial to evaluate the effectiveness of a novel integrated model of secondary fracture prevention and management in primary care. Methods: The cluster randomised controlled trial involves multiple branches of a community-based radiology provider (CRP), a hospital-based secondary fracture prevention program (SFPP) and numerous primary care practices in metropolitan Sydney that refer to either the CRP or SFPP. Using natural language processing tools, patients diagnosed with a potential osteoporotic fracture will be identified by automatically screening radiology reports generated at the CRP or SFPP. The primary care practices that these patients attend will be randomised (1:1) to either the intervention or usual care. The intervention consists of (i) electronic and fax alerts informing the practice/primary care physician that their patient has been diagnosed with a potential osteoporotic fracture; (ii) provision of osteoporosis management guidelines and (iii) follow-up surveys at 4 weeks and 6 months. Practices in the usual care (control) group will receive no alerts and provide usual care. The primary outcome is the proportion of patients undergoing a bone density scan and/or filling a prescription for osteo-protective pharmacotherapy within 3 months of the initial diagnostic imaging report. Secondary outcomes are the proportion of patients: (i) undergoing an osteoporosis-related blood test within 3 months of the initial diagnostic imaging report; (ii) initiated on a chronic disease management plan within 3 months of the diagnostic report, and (iii) filling a second prescription for osteo-protective pharmacotherapy within 9 months post initial diagnostic imaging report. Outcomes will be obtained through de-identified linked data from Medical Benefits Schedule and Pharmaceutical Benefits Scheme held by the Australian Institute of Health and Welfare. Discussion: This is the first randomised trial to integrate case-detection of potential osteoporotic fractures in a hospital and community setting with direct alerts to the patient's primary care provider. This study will determine whether such an intervention is effective in improving investigation and/or treatment rates of osteoporosis in patients with a potential osteoporotic fracture. Trial registration: This study is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12623000658617p. [ABSTRACT FROM AUTHOR]

We introduce a proof-of-concept extended reality (XR) environment for discussing cancer, presenting genomic information from multiple tumour sites in the context of 3D tumour models generated from CT scans. This tool enhances multidisciplinary discussions. Clinicians and cancer researchers explored its use in oncology, sharing perspectives on XR's potential for use in molecular tumour boards, clinician-patient communication, and education. XR serves as a universal language, fostering collaborative decision-making in oncology. [ABSTRACT FROM AUTHOR]

This paper focuses on how regulatory bodies respond to artificial intelligence (AI)-enabled medical devices. To achieve this, we present a comparative overview of the United States (USA), European Union (EU), and China. Our search in the governmental database identified 59 AI medical devices approved in China as of July 2023. In comparison to the rules-based regulatory approach in China, the approaches in the USA and EU are more standards-oriented. [ABSTRACT FROM AUTHOR]

The integration of artificial intelligence (AI) in cardiovascular imaging has revolutionized the field, offering significant advancements in diagnostic accuracy and clinical efficiency. However, the complexity and opacity of AI models, particularly those involving machine learning (ML) and deep learning (DL), raise critical legal and ethical concerns due to their "black box" nature. This manuscript addresses these concerns by providing a comprehensive review of AI technologies in cardiovascular imaging, focusing on the challenges and implications of the black box phenomenon. We begin by outlining the foundational concepts of AI, including ML and DL, and their applications in cardiovascular imaging. The manuscript delves into the "black box" issue, highlighting the difficulty in understanding and explaining AI decision-making processes. This lack of transparency poses significant challenges for clinical acceptance and ethical deployment. The discussion then extends to the legal and ethical implications of AI's opacity. The need for explicable AI systems is underscored, with an emphasis on the ethical principles of beneficence and non-maleficence. The manuscript explores potential solutions such as explainable AI (XAI) techniques, which aim to provide insights into AI decision-making without sacrificing performance. Moreover, the impact of AI explainability on clinical decision-making and patient outcomes is examined. The manuscript argues for the development of hybrid models that combine interpretability with the advanced capabilities of black box systems. It also advocates for enhanced education and training programs for healthcare professionals to equip them with the necessary skills to utilize AI effectively. Patient involvement and informed consent are identified as critical components for the ethical deployment of AI in healthcare. Strategies for improving patient understanding and engagement with AI technologies are discussed, emphasizing the importance of transparent communication and education. Finally, the manuscript calls for the establishment of standardized regulatory frameworks and policies to address the unique challenges posed by AI in healthcare. By fostering interdisciplinary collaboration and continuous monitoring, the medical community can ensure the responsible integration of AI into cardiovascular imaging, ultimately enhancing patient care and clinical outcomes. [ABSTRACT FROM AUTHOR]

Goal: To document shifts in rural hospital service line offerings between 2010 and 2021 and to assess the resulting impacts on hospital profitability. Methods: We used annual Medicare cost report data for all rural hospitals that did not change payment classifications between 2010 and 2021. We documented changes in the percentages of hospitals offering each of the 37 inpatient or ancillary service lines included in the data. We then used panel event studies to assess effects on hospital operating margin for specific service lines that changed most prominently during this period. Principal Findings: Twelve service lines changed by more than 5% during our period of analysis. These are highlighted by hospitals adding rural health clinics (+32%) and CT scans (+20%) and removing delivery rooms (-21%) and skilled nursing facilities (-19%). Panel event studies demonstrated that the addition or subtraction of most services did not have statistically significant impacts on future hospital operating margins. Notable exceptions were the addition of rural health clinics and the removal of delivery services, both of which positively affected future operating margins. The addition of occupational therapy services had a positive effect on operating margin in the near term, but adding MRI services had a negative effect. Practical Applications: The finding that only a select few service line changes resulted in meaningful impacts to hospital operating margins suggests that hospital leaders should be wary of implementing such changes as a means of improving financial viability. [ABSTRACT FROM AUTHOR]

Background and Aims: Idiopathic osteosclerosis is an asymptomatic local growth of cortical bone and is discovered incidentally on panoramic radiographs. The purpose of this study is to evaluate the frequency of idiopathic osteosclerosis and its radiographic features in panoramic images of patients referred to the Department of Maxillofacial Radiology, Faculty of Dentistry, Arak University of Medical Sciences (Iran) in 2022-2023. Materials and Methods: In this cross-sectional study, 460 panoramic images from the radiology department of Arak Faculty of Dentistry were randomly selected and analyzed. The demographic information of patients, frequency of idiopathic osteosclerosis, location, and also its relationship with adjacent teeth in terms of proximity to lamina dura and periodontal ligament and radiographic features in terms of size and morphology were evaluated. The data were analyzed using the SPSS24 software. Results: Panoramic images of 460 patients (266 men and 194 women) with an average age of 38.12 (11.75) years were evaluated. The frequency of idiopathic osteosclerosis was 6.1% (28 images). 92.9% of the lesions were in the lower jaw and 46.4% of them were near the premolar teeth. In 39.3% of the cases, the lesion was adjacent to the periodontal ligament and laminadora of the tooth. In 3.6% of the cases, it was associated with a small displacement of the adjacent tooth, and 17.9% was associated with tooth root resorption. According to the results, there was no correlation between the incidence of this lesion with age and gender (P>0.05). Conclusion: According to the findings of this study, the frequency of idiopathic osteosclerosis in the patients referred to Arak dental school was reported as 6.1%. Most of these lesions were observed in the back of the lower jaw and thus, it is important to be able to distinguish this lesion from the radiopaque lesions of the jaw which need treatment. [ABSTRACT FROM AUTHOR]

Improving the status of women in radiology is crucial to better work environments. There is strong evidence in the business world that women leaders improve the workplace by making it more financially viable and by increasing collaboration, job satisfaction, and engagement. Diverse leadership fosters innovation, and women approach problem-solving with unique insights and collaborative styles. Gender diversity in leadership correlates with improved patient outcomes because women leaders prioritize patient-centered care and communication. Women create sustainable, productive work and improve radiology. Women serve as powerful role models, inspiring the next generation of women in radiology and addressing gender disparities. Increasing women leaders in radiology is essential to increase the number of women in radiology. This article summarizes many challenges women face when taking leadership roles: organizational biases prioritizing male viewpoints and marginalizing women's voices and contributions, a lack of role models, a lack of time ("second shift"), a lack of confidence, a lack of interest or perceived benefit, a lack of support, burnout, and previous poor experiences. While systemic issues are difficult to overcome, this article assists in the training and development of women radiologists by offering strategies to enhance job satisfaction and bring new and valuable perspectives to leadership. [ABSTRACT FROM AUTHOR]

With, Sonography, celebrating its 10th birthday, it is timely to reflect on the changes in ultrasound and the role of the sonographer, across the same period. This paper will present the significant changes that have occurred across the last 10 years in a large public hospital network in Australia across a diversity of themes. In the areas where challenges have emerged, the way these were navigated will be described. Documenting this change in ultrasound provision may be valuable to future planning for all key stakeholders. [ABSTRACT FROM AUTHOR]

Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for secondary purposes. Natural Language Processing can provide structured data retrieved from these reports. This paper provides a summary of the current state of research on Large Language Model (LLM) based approaches for information extraction (IE) from radiology reports. We conduct a scoping review that follows the PRISMA-ScR guideline. Queries of five databases were conducted on August 1st 2023. Among the 34 studies that met inclusion criteria, only pre-transformer and encoder-based models are described. External validation shows a general performance decrease, although LLMs might improve generalizability of IE approaches. Reports related to CT and MRI examinations, as well as thoracic reports, prevail. Most common challenges reported are missing validation on external data and augmentation of the described methods. Different reporting granularities affect the comparability and transparency of approaches. [ABSTRACT FROM AUTHOR]

In this study, we evaluated and forecasted the cumulative opportunities for residents to access radiotherapy services in Cali, Colombia, while accounting for traffic congestion, using a new people-centred methodology with an equity focus. Furthermore, we identified 1–2 optimal locations where new services would maximise accessibility. We utilised open data and publicly available big data. Cali is one of South America's cities most impacted by traffic congestion. Methodology: Using a people-centred approach, we tested a web-based digital platform developed through an iterative participatory design. The platform integrates open data, including the location of radiotherapy services, the disaggregated sociodemographic microdata for the population and places of residence, and big data for travel times from Google Distance Matrix API. We used genetic algorithms to identify optimal locations for new services. We predicted accessibility cumulative opportunities (ACO) for traffic ranging from peak congestion to free-flow conditions with hourly assessments for 6–12 July 2020 and 23–29 November 2020. The interactive digital platform is openly available. Primary and secondary outcomes: We present descriptive statistics and population distribution heatmaps based on 20-min accessibility cumulative opportunities (ACO) isochrones for car journeys. There is no set national or international standard for these travel time thresholds. Most key informants found the 20-min threshold reasonable. These isochrones connect the population-weighted centroid of the traffic analysis zone at the place of residence to the corresponding zone of the radiotherapy service with the shortest travel time under varying traffic conditions ranging from free-flow to peak-traffic congestion levels. Additionally, we conducted a time-series bivariate analysis to assess geographical accessibility based on economic stratum. We identify 1–2 optimal locations where new services would maximize the 20-min ACO during peak-traffic congestion. Results: Traffic congestion significantly diminished accessibility to radiotherapy services, particularly affecting vulnerable populations. For instance, urban 20-min ACO by car dropped from 91% of Cali's urban population within a 20-min journey to the service during free-flow traffic to 31% during peak traffic for the week of 6–12 July 2020. Percentages represent the population within a 20-min journey by car from their residence to a radiotherapy service. Specific ethnic groups, individuals with lower educational attainment, and residents on the outskirts of Cali experienced disproportionate effects, with accessibility decreasing to 11% during peak traffic compared to 81% during free-flow traffic for low-income households. We predict that strategically adding sufficient services in 1–2 locations in eastern Cali would notably enhance accessibility and reduce inequities. The recommended locations for new services remained consistent in both of our measurements. These findings underscore the significance of prioritising equity and comprehensive care in healthcare accessibility. They also offer a practical approach to optimising service locations to mitigate disparities. Expanding this approach to encompass other transportation modes, services, and cities, or updating measurements, is feasible and affordable. The new approach and data are particularly relevant for planning authorities and urban development actors. [ABSTRACT FROM AUTHOR]

Simple Summary: Sarcomas are a heterogeneous group of tumors that arise from mesenchymal tissue, including adipose, bone, cartilage, skeletal muscle, and smooth muscle. Because of their rarity, optimal treatment planning requires discussion among sarcoma-experienced subspecialists. Studies have shown that treatment guided by multidisciplinary tumor boards (MTBs) is associated with better compliance with clinical practice guidelines and, in some cases, increased survival. The role of radiologists in the MTB setting is valuable in assessing disease in patients with sarcoma; however, radiologists' recommendations may differ from the MTB's consensus. This study highlights the discordance between the disease assessment and the clinical recommendations provided by radiologists and MTBs and encourages all radiologists caring for patients with sarcoma to participate in MTBs to best align their interpretations with optimal clinical management and make multidisciplinary aligned recommendations whenever feasible. Multidisciplinary tumor boards (MTBs) facilitate decision-making among subspecialists in the care of oncology patients, but the mechanisms by which they enhance outcomes remain incompletely understood. Our aim was to measure the agreement between sarcoma MTBs and radiology reports' disease assessment and management recommendations. This single-center IRB-approved retrospective study evaluated cases presented at a weekly sarcoma MTB from 1 August 2020 to 31 July 2021. Cases without clinical notes, imaging studies, or radiology reports were excluded. The data collected included the patient's clinical status at the time of the MTB, the treatment response assessment by the MTB and radiologists (stable disease; partial response; complete response; progressive disease/recurrence), and the recommendations of the radiology reports and of the MTB. The agreement between the initial radiologist review and MTB on disease assessment and recommendations was analyzed using kappa statistics. In total, 283 cases met the inclusion criteria. Radiology reports provided recommendations in 34.3% of cases, which were adhered to by the ordering providers in 73.2% of cases. The agreement between MTBs and radiology reports was moderate in disease assessment (86.2% agreement; κ = 0.78; p < 0.0001) and negligible in recommendations (36% agreement; κ = 0.18; p < 0.0001). Radiologists were more likely to assign progressive disease/recurrence than MTBs (54.4% vs. 44.4%; p < 0.001) and to recommend short-term imaging follow-up more commonly than MTBs (46.4% vs. 21.7%; p < 0.001). At a tertiary care center, radiologists' isolated interpretations of imaging findings and management recommendations frequently differ from the MTB's consensus, reflecting the value of multidisciplinary discussions incorporating the patient's clinical status and the available treatment options into the final radiographic assessment. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) and augmented reality (AR) technology hold potential across many disciplines in medicine to expand the delivery of education and healthcare. VR-AR applications in radiology, in particular, have gained prominence and have demonstrated advantages in many areas within the field. Recently, VR software has emerged to redesign the physical radiology workstation (ie, reading room) to expand the possibilities of diagnostic interpretation. Given the novelty of this technology, there is limited research investigating the potential applications of a simulated radiology workstation. In this review article, we explore VR-simulated reading room technology in its current form and illustrate the practical applications this technology will bring to future radiologists and learners. We also discuss the limitations and barriers to adopting this technology that must be overcome to truly understand its potential benefits. VR reading room technology offers great potential in radiology, but further research is needed to appreciate its benefits and identify areas for improvement. The findings and insights presented in this review contribute to the ongoing discourse on future technological advancements in radiology and healthcare, offering valuable recommendations for further research and practical implementation. [ABSTRACT FROM AUTHOR]

Purpose: In pancreatic adenocarcinoma, the difficult distinction between normal and affected pancreas on CT studies may lead to discordance between the pre-surgical assessment of vessel involvement and intraoperative findings. We hypothesize that a visual aid tool could improve the performance of radiology residents when detecting vascular invasion in pancreatic adenocarcinoma patients. Methods: This study consisted of 94 pancreatic adenocarcinoma patient CTs. The visual aid compared the estimated body fat density of each patient with the densities surrounding the superior mesenteric artery and mapped them onto the CT scan. Four radiology residents annotated the locations of perceived vascular invasion on each scan with the visual aid overlaid on alternating scans. Using 3 expert radiologists as the reference standard, we quantified the area under the receiver operating characteristic curve to determine the performance of the tool. We then used sensitivity, specificity, balanced accuracy ((sensitivity + specificity)/2), and spatial metrics to determine the performance of the residents with and without the tool. Results: The mean area under the curve was 0.80. Radiology residents' sensitivity/specificity/balanced accuracy for predicting vascular invasion were 50%/85%/68% without the tool and 81%/79%/80% with it compared to expert radiologists, and 58%/85%/72% without the tool and 78%/77%/77% with it compared to the surgical pathology. The tool was not found to impact the spatial metrics calculated on the resident annotations of vascular invasion. Conclusion: The improvements provided by the visual aid were predominantly reflected by increased sensitivity and accuracy, indicating the potential of this tool as a learning aid for trainees. [ABSTRACT FROM AUTHOR]

The increasing use of imaging services and continuous technological advancement require regular optimisation of the hospital's radiology department. Assessing stakeholders to find realistic challenges is an essential step towards achieving the desired quadruple aim (reducing costs, increasing quality of care and improving patient and clinician experience) in healthcare. The statistical gaps explored and the evidence in the literature justify the need for continuous and rapid assessment, identification of challenges, identification of trends and subsequent search for solutions in each radiology department. We have found an average increase of 7.3 per cent annually in reported computed tomography, magnetic resonance imaging and interventional radiology services over the last 10 years, but the number of radiologists has only increased by 2 per cent per year. In Germany, the statistics show a continuous increase in examinations per radiologist with a compound annual growth rate of 4.68 per cent. This article presents a pathway for planning, evaluating and subsequently improving individual radiology departments using a transdisciplinary approach to innovation. The transdisciplinary innovation approach was applied with 36 young innovation fellows with multidisciplinary knowledge from different global locations (Germany, India, China, UAE and USA). As part of our transdisciplinary approach, a qualitative approach was used to collect challenges during hospital visits. We identified over 100 key challenges and 10 healthcare trends from the clinical area. We developed templates for mapping the status quo, trends and challenges in radiology for each radiology department as a tool for assessment. We believe that the proposed transdisciplinary methodology, the resulting radiology model, the template(s) and the proposed digital infrastructure will be useful in the future mapping and optimisation of radiology departments. [ABSTRACT FROM AUTHOR]

Complex medical terminology utilized in clinical documentation can present barriers to patients understanding their medical findings. We aimed to generate easy-to-understand summaries of clinical radiology reports using large language models (LLMs) and evaluate their safety and quality. Eight board-certified physician reviewers evaluated 1982 LLM-generated radiology report summaries (computed tomography, magnetic resonance imaging, ultrasound, and x-ray) for safety and quality, using predefined rating criteria and the corresponding original radiology reports for reference. Physician reviewers determined 99.2% (1967 out of 1982) of the LLM-generated summaries to be safe. The reviewers scored the quality of the LLM-generated summaries from "5—Very Good" to "1—Very Poor," respectively, as follows: 80.6%, 11.1%, 5.7%, 1.7%, and 0.9%. Safety varied significantly across imaging modality (P =.002). Large language models can be used to generate safe and high-quality summaries of clinical radiology reports. Further investigation is warranted to determine the impact of LLM-generated summaries on patient perception of understanding, knowledge of their medical conditions, and overall experience. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study was to determine whether the post-mortem computed tomography (PMCT) findings are able to correlate well with the cause of death on conventional autopsy. Materials and methods: From January 2008 until September 2016, total of 60 bodies underwent PMCT scans in the radiology department, followed by conventional autopsies conducted in the forensic department. The radiological findings were interpreted, which were then correlated with the cause of death based on conventional post-mortem autopsy and/or pathological diagnosis. Results: The PMCT findings correlated well with the conventional autopsies. In 28 cases (46.7%), the cause of death was diagnosable based on PMCT alone, in nine cases (15%) the cause was suggestive but required additional information, and in 23 cases (38.3%) the cause was not diagnosable based on PMCT alone. Diagnosable cases included those involving gunshot wounds, sharp and blunt injuries, and lung infections. Causes that could not be diagnosed through PMCT alone included acute myocardial infarction, burns, asphyxiation, drug intoxication and septicemia. Conclusion: PMCT proves to be a valuable and excellent tool for documenting and illustrating bone fractures, abnormal air and fluid accumulation compared to soft tissue injuries, which are better detected in autopsies. However, PMCT alone cannot replace conventional autopsy, which remain the gold standard for establishing the cause of death. Nevertheless, PMCT can serve as useful adjunct in forensic investigations. [ABSTRACT FROM AUTHOR]

Background and Objectives: Small chest drains are used in many centers as the default drainage strategy for various pleural effusions. This can lead to drain overuse, which may be harmful. This study aimed to reduce chest drain overuse. Methods: We studied consecutive pleural procedures performed in the radiology department before (August 1, 2015, to July 31, 2016) and after intervention (September 1, 2019, to January 31, 2020). Chest drains were deemed indicated or not based on criteria established by a local interdisciplinary work group. The intervention consisted of a pleural drainage order set embedded in electronic medical records. It included indications for chest drain insertion, prespecified drain sizes for each indication, fluid analyses, and postprocedure radiography orders. Overall chest drain use and proportion of nonindicated drains were the outcomes of interest. Results: We reviewed a total of 288 procedures (pre-intervention) and 155 procedures (post-intervention) (thoracentesis and drains). Orderset implementation led to a reduction in drain use (86.5% vs 54.8% of all procedures, P < .001) and reduction in drain insertions in the absence of an indication (from 45.4% to 29.4% of drains, P = .01). The need for repeat procedures did not increase after order-set implementation (22.0% pre vs 17.7% post, P = .40). Complication rates and length of hospital stay did not differ significantly after the intervention. More pleural infections were treated with drain sizes of 12Fr and greater (31 vs 70%, P < .001) after order-set deployment, and direct procedural costs were reduced by 27 CAN$ per procedure. Conclusion: Implementation of a pleural drainage order-set reduced chest drain use, improved procedure selection according to clinical needs, and reduced direct procedural costs. In institutions where small chest drains are used as the default drainage strategy for pleural effusions, this order set can reduce chest drain overuse. [ABSTRACT FROM AUTHOR]

Background: Understanding of morphometric parameters of Radius play a very important and beneficial role for the advanced orthopedic and plastic manipulations by surgeons. Aim: To study the morphological and morphometric parameters of adult Indian radius. Material and methods: The material for this study compromised of 87 dry adult human radii (Right = 45, left = 42) obtained from Department of Anatomy Government Medical Collage Srinagar, J & K India and various parameters measured with Vernier Calipers. Results: The present study "Morphometric study of radius in Indian population" done on 87 adult dry radii of both sides (right 45 and left 42). The mean length of radius, Antero posterior diameter (radial head), transverse diameter (radial head), length of neck of radius, diameter of neck (proximal), diameter of neck ( distal), length of radial tuberosity, width of radial tuberosity, mid shaft antero- posterior diameter, mid shaft transverse diameter, length of styloid process in total radius were 22.37, 1.90, 1.72, 1.24,1.62, 1.36, 2.18, 1.25, 1.10, 1.39, 0.95 cm respectively on the right and 23.30, 1.92, 1.80, 1.27, 1.56, 1.29, 2.05,1.13, 1.07, 1.35, 0.94 cm respectively on the left side. All the parameters were recorded as per anatomical basis Conclusion: The results obtained from this study can be useful for the orthopedic surgeons for various surgical techniques and making prosthesis. These morphometric parameters can prove of great help to department of Surgery, Anatomy and Radiology as well. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Health Academics / Sağlık Akademisyenleri Dergisi is the property of Journal of Health Academics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Unlike many other subspecialties in radiology, breast radiologists practice in a patient-facing and interdisciplinary environment where team building, communication, and leadership skills are critical. Although breast radiologists can improve these skills over time, strong mentorship can accelerate this process, leading to a more successful and satisfying career. In addition to providing advice, insight, feedback, and encouragement to mentees, mentors help advance the field of breast radiology by contributing to the development of the next generation of leaders. During the mentorship process, mentors continue to hone their listening, problem-solving, and networking skills, which in turn creates a more supportive and nurturing work environment for the entire breast care team. This article reviews important mentorship skills that are essential for all breast radiologists. Although some of the principles apply to all mentoring relationships, ensuring that every breast radiologist has the skills to be both an effective mentor and mentee is key to the future of the profession. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Medical Imaging & Radiation Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Medical Imaging & Radiation Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article explores the application of a shared governance leadership model in the radiology profession. Topics discussed include elements of shared governance leadership model, interprofessional collaboration as a standard practice in health care, inclusion of subject matter experts in various modalities in the radiology profession, and importance of a Pathway to Excellence Program for improving patient experience and satisfaction.

Knowledge in diagnostic radiology and performance of point-of-care ultrasound are integral to acute care nurse practitioners (ACNPs) in the inpatient settings, especially true in specialty areas such as interventional radiology and critical care. However, existing ACNP training programs, including at our institution, often lack robust relevant course content. To address this educational gap, we designed and implemented a pilot acute care radiology course, incorporating a flipped classroom approach and hands-on simulation activities led by expert faculty. Our course evaluation revealed high levels of student satisfaction, self-reported confidence, and perceived course effectiveness. The course aligns with key competencies outlined by the American Association of Colleges of Nursing, demonstrating its potential to advance ACNP education in radiology content. [ABSTRACT FROM AUTHOR]

Background/aim: Total kidney volume (TKV) is a parameter used in both treatment decision and follow-up in autosomal dominant polycystic kidney disease (ADPKD) patients. The objective of this study was to evaluate intra- and interobserver agreement of the ellipsoid formula (EF) and manual boundary tracing method (MBTM) used in TKV measurement of ADPKD patients across different levels of experience radiologists. Additionally, the study aimed to evaluate the correlation between the EF and MBTM, which is considered the gold standard for TKV. Materials and methods: A retrospective evaluation was conducted on magnetic resonance imaging (MRI) data from 55 ADPKD patients who underwent abdominal MRI between January 2017 and November 2021 to evaluate TKV. TKV measurements were performed by three independent observers (observer 1, an abdominal imaging radiologist with 5 years of experience; observer 2, a fourth-year radiology resident; observer 3, a second-year radiology resident). To assess intraobserver variability, all observers repeated the measurements at two-week intervals. The ICC was used to assess both intraobserver and interobserver variability. A comparison of the two methods was performed by linear regression for all three observers. Results: The ICC (95% CI) indicated excellent agreement between the observers for both methods (among all observers, p < 0.001). Furthermore, excellent intraobserver agreement was found between all observer measurements either EF or MBTM based on ICC (95% CI) (p < 0.001). The results of the linear regression analysis demonstrated high correlations between the two methods in all three observers (r = 0.992, p < 0.001 for the first observer; r = 0.975, p < 0.001 for the second observer; r = 0.989, p < 0.001 for the third observer). Conclusion: Both the EF and MBTM methods used for the measurement of TKV provided excellent intra- and interobserver reproducibility. The EF is as accurate and precise as the MBTM. It may therefore be preferred in radiology departments with heavy workload, as it is a reliable method for rapid and easy assessment, independent of experience. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing diagnosis, quantification, and management of multiple medical conditions. Nevertheless, the ever‑growing availability of AI tools in radiology highlights an increasing need to critically evaluate claims for its utility and to differentiate safe product offerings from potentially harmful, or fundamentally unhelpful ones. This multi‑society paper, presenting the views of Radiology Societies in the USA, Canada, Europe, Australia, and New Zealand, defines the potential practical problems and ethical issues surrounding the incorporation of AI into radiological practice. In addition to delineating the main points of concern that developers, regulators, and purchasers of AI tools should consider prior to their introduction into clinical practice, this statement also suggests methods to monitor their stability and safety in clinical use, and their suitability for possible autonomous function. This statement is intended to serve as a useful summary of the practical issues which should be considered by all parties involved in the development of radiology AI resources, and their implementation as clinical tools. [ABSTRACT FROM AUTHOR]

This toolkit presents a comprehensive framework for a toolkit intended to increase equity, diversity, and inclusion (EDI) within the medical field and recommendations. We advocate for clear, comprehensive definitions and interpretations of fundamental EDI terms, laying the groundwork necessary for initiating and maintaining EDI initiatives. Furthermore, we offer a systematic approach to establishing EDI committees within medical departments, accentuating the pivotal role these committees play as they drive and steer EDI strategies. This toolkit also explores strategies tailored for the recruitment of a diverse workforce. This includes integral aspects such as developing inclusive job advertisements, implementing balanced search methods for candidates, conducting unbiased appraisals of applications, and structuring diverse hiring committees. The emphasis on these strategies not only augments the diversity within medical institutions but also sets the stage for a more holistic approach to healthcare delivery. Therefore, by adopting the recommended strategies and guidelines outlined in this framework, medical institutions and specifically radiology departments can foster an environment that embodies inclusivity and equity, thereby enhancing the quality of patient care and overall health outcomes. [ABSTRACT FROM AUTHOR]

The trends in society have provided favourable conditions for the rapid growth of radiology on social media, specifically there has been an expanding presence on Twitter. Currently, simple searches on Twitter yield a plethora of radiology education resources, that may be suited for medical students, residents or practicing radiologists. Educators have many tools at their disposal to deliver effective teaching. Over time, strategies such as including images and scrollable stacks often are more successful at gaining popularity or clicks online. Journals and authors can use Twitter to promote their new scientific work and potentially reach audiences they couldn't have prior. Attendees at conferences can get involved in the conversation by tweeting about the meeting and engaging with other attendees with mutual interests. Interested medical students, residents and even practicing radiologists can use Twitter as a means of networking and connecting with other scholars all around the globe. Within its glory, Twitter does carry some drawbacks including privacy concerns, equality, and risk of misinformation. Above all, the future of Twitter is bright and promising for all who are currently on it and plan to use it for their education, research, or professional advancement. [ABSTRACT FROM AUTHOR]

Aim: The calcaneus has a significant role in the foot due to its location. It is used together with the pelvis and skull bones in gender determination. In this study, it was aimed to determine the morphometric characteristics of the calcaneus and determine the suitability of these measurement locations for gender estimation. Material and Method: In the study, seven measurements were taken bilaterally from 1,080 lateral foot radiographs of 540 individuals aged 20-65 years. For foot bone height (FBL), the distance between the anterior end of the distal phalanx of the most distal toe and the most posterior end of the foot was taken, while for maximum calcaneal length (maxCaL), the distance between the anterior end of the calcaneus and the posterior end of the calcaneus was taken. SPSS 21 program was used for statistical analyses and the ratio of gender prediction performances was examined by Receiver operating characteristic (ROC) analysis. Results: All length measurements were higher in males than females (p<0.05), and foot bone height (FBL) (p=0.035) and maximum calcaneus height (maxCaH) (p=0.007) were higher on the right side than on the left side. The study also found a weak negative correlation between age and the right-sided medial calcaneus length parameter (rmedCaL) and strong correlations between certain measurements. Foot bone length (FBL) was found to have the highest accuracy in predicting gender (AUC=0.913). Conclusion: The findings provide useful information for forensic cases, provide reference data for diagnosis and treatment processes in the clinic, and provide data for the development of machine learning software that can be used in medical and forensic cases. [ABSTRACT FROM AUTHOR]

BACKGROUND: Since the mid-20th century, contrast agents have been widely used in radiology due to their ability to provide high-definition radiographic images and greater precision in diagnostic exams. Different types of contrast agents are used in image diagnosis, namely radiological media. Despite being considered safe, there are still uncertainties about their safety profile, interactions, and incidence of adverse drug reactions in real-world settings. OBJECTIVE: To characterise the pattern of adverse events, during 7 years, in a radiology unit. METHODS: We performed a retrospective observational and descriptive study at an Image Center in Portugal between August 2012 and October 2019. A total of 77,449 computed tomography (CT) were registered, and from those 15,640 cases of iopromide were used as a contrast agent. The authors have accessed, under the authorization, the data of adverse events and procedures after the event. RESULTS: Most of the hypersensitivity events were immediate or with a short time of onset, with the majority of cases developing events with skin involvement and mild degree, where the most common events were papules (n = 60), pruritus (n = 42), erythema (n = 27) and urticaria (n = 14). Severe events, including hypersensitivity, were mainly represented by vomiting (n = 11), stridor (n = 8), breathing difficulties (n = 7) and syncope (n = 3). Abdominal-pelvic CT exam presented a higher frequency of adverse events. CONCLUSION: Despite all the current information about iopromide usage, the utilization of this agent is not abstent of risks and its safety profile not fully established. Most frequent symptoms were local, as skin adverse events, including papules, pruritus and erythema. Common medications used to treat or control adverse events were frequently hydrocortisone, clemastine and methylprednisolone. [ABSTRACT FROM AUTHOR]

The new 2023 update of the International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer incorporates the advances made in the understanding of the pathology and molecular classifications into the staging system. While the new staging system aids in precision medicine and may lead to better documentation of prognostic risk categories of endometrial cancer, it is complex and calls for an integrated approach and better communication between multiple disciplines involved in the management of endometrial cancer. In this review article, we address how the referral patterns to imaging services might change considering the updated staging system for endometrial cancer. We also discuss the practical aspects and nuances involved in the radiology service delivery and reporting practices as we adopt the new FIGO staging system for managing endometrial cancer patients. [ABSTRACT FROM AUTHOR]

Background: Blockchain technology has better security and immutable features, which are beneficial for healthcare data management. Decentralisation data management allows better sharing of medical images between units and departments. Objectives: The objectives of this study were to determine the cost of adopting the blockchain-based system for medical images and the cost-benefit analysis for five years of adoption of this technology at a district hospital in Malaysia. Methodology: Data regarding the yearly costs and workload for 2016 until 2018 were collected from a district hospital in Malaysia. The cost of blockchain implementation was obtained from a company that developed this technology. The cost-benefit analysis was done using the capital budgeting method for five years of this technology adoption. Sensitivity analysis was done to assess uncertainty conditions during this adoption. Results: The total yearly cost of Radiology Unit for 2018 was MYR490,168.96. The cost for adopting blockchain technology was MYR80,000 for the software, MYR115,000 for upgrading the assets and yearly maintenance cost was MYR16,000. The total present value of net benefits for five years of technology adoption was MYR865,295.01. Sensitivity analysis shows that consumables cost-saving is the most sensitive variable. Most pessimistic situation analyses showed positive net benefits. Conclusion: The adoption of blockchain technology in managing medical images offers numerous benefits to public hospitals in Malaysia. Investment in this technology can provide a good return to the organisation. [ABSTRACT FROM AUTHOR]

Access to radiology reports and images through a patient portal offers several advantages. The purpose of this study was to characterize patient's interactions with their radiology results. This was a retrospective study that evaluated radiography, ultrasound, computed tomography, magnetic resonance imaging, and positron emission tomography, exams performed between July 2020 and June 2021 for patients aged 12 and older. Exam information, access logs of radiology reports and images, and patient demographics were obtained from the electronic health record and image viewing software. Descriptive statistics were computed. The study included 1,685,239 exams. A total of 54.1% of reports were viewed. MRI and PET reports were viewed with the greatest frequency (70.2% and 67.6%, respectively); 25.5% of exam images were viewed, with the greatest frequency for MRI (40.1%). Exams were shared a total of 17,095 times and downloaded 8409 times; 64% of reports were viewed for patients aged 18–39 and 34% for patients aged 80 and greater. The rate of reports viewed was greater for patients with English as their preferred language (57.1%) compared to other languages (33.3%). Among those viewed, 56.5% of reports and 48.2% of images were viewed multiple times; 72.8% of images were viewed on smartphones, 25.8% on desktop computers, and 1.4% on tablets. Patients utilize a portal to view reports and view and share images. Continued efforts are warranted to promote the use of portals and create patient-friendly imaging results to help empower patients. [ABSTRACT FROM AUTHOR]

Background and Aim: The purpose of this study is to determine the effect of X-ray exposure in CBCT imaging on the amount of nuclear changes and repair index of buccal mucosa cells in the patients of oral and maxillofacial radiology department of Tehran Azad University in 2022. Materials and methods: he present study is an experimental research, comparing before and after, which was conducted on 63 eligible patients. Buccal mucosa cells were examine. once before and once 10 days after X-ray exposure, Then Papanicolaou staining was used to measure the micronucleus and other nuclear changes and observation was done with a light microscope with 400× magnification. CBCT images by Papaya 3D Plus device (Genoray, Korea) with two FOVs, small (4 x 4 cm) and large (14 x 14 cm) and Voxel Size: 0.175 mm with exposure conditions of 60-90 kV and 4-12 mA were prepared. Results: Statistically significant increase in Micronucleus (p<0.001), Karyorrhexis (p<0.001), Karyolysis (p=0.01) and Broken egg (p<0.001) before and after X-ray exposure. But there is no statistically significant difference in the amount of Repair index (p=0.054) Conclusion: The present study shows that CBCT imaging can induce cytotoxic and genotoxic effects on buccal mucosa cells. Therefore, CBCT should only be prescribed when necessary because it cannot be considered a risk-free procedure. [ABSTRACT FROM AUTHOR]

Background: Breast MRI full diagnostic protocol (FDP) showed great value in detecting and characterizing non-mass enhancement (NME); however, it is costly and time-consuming. MRI abbreviated protocol (AP) showed comparable accuracy to FDP in various indications but has not been specifically tested in NME. Our study purpose is to assess the accuracy of the AP in the detection and characterization of breast NME in comparison with the FDP and to perform time analysis of the AP. Methods: Patients who demonstrated NME in dynamic contrast-enhanced MRI were included to be assessed using AP and FDP. Image analysis was performed blindly and independently. Firstly, reconstructed images from the pre- and first post-contrast T1WI (first maximum intensity projection and subtraction) were made available as AP. Later, the time/signal intensity curve and remaining images of the FDP were added to the assessment. Both protocols were compared regarding acquisition time, interpretation time, BI-RADS scores and accuracy in the detection and characterization of NME in correlation to histopathology and/or follow-up. Validity statistics, Cohen-Kappa and ROC curve were used. Results: Fifty-nine NME lesions were identified. AP acquisition and interpretation times were significantly shorter than those of the FDP (3.3 vs. 35 min) and (45 "25–75 s" vs. 108 "80–150 s") (P < 0.001), respectively. There was almost perfect agreement between the two protocols in the BIRADS grading of NME (k = 0.950, P < 0.001). In ROC curve analysis, the FDP was insignificantly more accurate than the AP (84.8% vs. 81.4%, P = 0.144). Conclusions: Breast MRI–AP is comparable to the FDP in the detection and characterization of breast NME with advantageous time saving. [ABSTRACT FROM AUTHOR]

Purpose: The coronavirus pandemic (COVID-19) significantly impacted the global economy and health. Italy was one of the first and most affected countries. The objective of our study was to assess the impact of the pandemic and the vaccination campaign on the radiological examinations performed in a radiology department of a tertiary center in Southern Italy. Materials and methods: We analyzed weekly and retrospectively electronic medical records of case volumes performed at the Radiology Department of "Mater Domini" University Hospital of Catanzaro from March 2020 to March 2022, comparing them with the volumes in the same period of the year 2019. We considered the origin of patients (outpatient, inpatient) and the type of examinations carried out (x-ray, mammography, CT, MRI, and ultrasound). A non-parametric test (Wilcoxon Signed Rank test) was applied to evaluate the average volumes. Results: Total flows in the pandemic period from COVID-19 were lower than in the same pre-pandemic period with values of 552 (120) vs. 427 (149) median (IQR) (p < 0.001). The vaccination campaign allowed the resumption of the pre-vaccination pandemic with total flows 563 (113) vs. 427 (149) median (IQR) p < 0.001. In the post-vaccination period, the number of examinations was found to overlap with the pre-COVID period. Conclusion: The pandemic impacted the volume of radiological examinations performed, particularly with the reduction of tests in outpatients. The vaccination allowed the return to the pre-COVID period imaging case volumes. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Medical Imaging & Radiation Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)