Radiology Residents Research Articles

Reading room assistants to reduce workload and interruptions of radiology residents during on-call hours: Initial evaluation

PurposeTo determine how much timesaving and reduction of interruptions reading room assistants can provide by taking over non-image interpretation tasks (NITs) from radiology residents during on-call hours. MethodsReading room assistants are medical students who were trained to take over NITs from radiology residents (e.g. answering telephone calls, administrative tasks and logistics) to reduce residents’ workload during on-call hours. Reading room assistants’ and residents’ activities were tracked during 6 weekend dayshifts in a tertiary care academic center (with more than 2.5 million inhabitants in its catchment area) between 10 a.m. and 5p.m. (7-hour shift, 420 min), and time spent on each activity was recorded. ResultsReading room assistants spent the most time on the following timesaving activities for residents: answering incoming (41 min, 19%) and outgoing telephone calls (35 min, 16%), ultrasound machine related activities (19 min, 9%) and paramedical assistance such as supporting residents during ultrasound guided procedures and with patients (17 min, 8%). Reading room assistants saved 132 min of residents’ time by taking over NITs while also spending circa 31 min consulting the resident, resulting in a net timesaving of 101 min (24%) during a 7-hour shift. The reading room assistants also prevented residents from being interrupted, at a mean of 18 times during the 7-hour shift. ConclusionThis study shows that the implementation of reading room assistants to radiology on-call hours could provide a timesaving for residents and also reduce the number of times residents are being interrupted during their work.

Quantifying Interruptions for On-Call Radiology Residents, and Resident Perception of Reading Room Coordinators

Quantifying Interruptions for On-Call Radiology Residents, and Resident Perception of Reading Room Coordinators

An assessment of radiology resident competency in identifying suppurative retropharyngeal lymphadenitis: an examination using the WIDI SIM platform.

Suppurative retropharyngeal lymphadenitis is a retropharyngeal space infection almost exclusively seen in the young (4-8years old) pediatric population. It can be misdiagnosed as a retropharyngeal abscess, leading to unnecessary invasive treatment procedures. This retrospective study aims to assess radiology residents' ability to independently identify CT imaging findings and make a definitive diagnosis of suppurative retropharyngeal lymphadenitis in a simulated call environment. The Wisdom in Diagnostic Imaging Emergent/Critical Care Radiology Simulation (WIDI SIM) is a computer-aided emergency imaging simulation proven to be a reliable method for assessing resident preparedness for independent radiology call. The simulation included 65 cases across various imaging modalities of varying complexity, including normal studies, with one case specifically targeting suppurative retropharyngeal adenitis identification. Residents' free text responses were manually scored by faculty members using a standardized grading rubric, with errors subsequently classified by type. A total of 543 radiology residents were tested in three separate years on the imaging findings of suppurative retropharyngeal lymphadenitis using the Wisdom in Diagnostic Imaging simulation web-based testing platform. Suppurative retropharyngeal lymphadenitis was consistently underdiagnosed by radiology residents being tested for call readiness irrespective of the numbers of years in training. On average, only 3.5% of radiology residents were able to correctly identify suppurative retropharyngeal lymphadenitis on a contrast-enhanced computed tomography (CT). Our findings underscore a potential gap in radiology residency training related to the accurate identification of suppurative retropharyngeal lymphadenitis, highlighting the potential need for enhanced educational efforts in this area.

Evaluating the Impact of Annual Resident Retreats on Radiology Resident Wellbeing

To investigate the effect of resident-run wellness retreats on measures of stress, resilience, and cohesion amongst radiology residents. All diagnostic and interventional radiology residents in a single academic medical center were invited to participate in a wellness-focused off-campus retreat. Three retreats were held on an annual basis from 2018 to 2022 and included physical exercises, nutritional wellness, and team-building activities. Participants were surveyed pre- and post- retreat attendance focusing on the following domains: Perceived Stress Scale, higher scores indicating higher levels of perceived stress; Brief Resilience Scale, higher scores indicating greater resilience; Cohesion Scale, higher scores indicating greater cohesion. Paired t-tests and linear regression models were used to compare mean Perceived Stress, Brief Resilience, and Cohesion Scales pre- and post-retreat across covariates. Of 78 total retreat attendances, 75 residents (96%) completed pre- and/or post-surveys. Study population was 51% female and 49% male, with mean age 29±2.8 years. Comparing post- with pre-surveys, retreat attendance was associated with a significant reduction in mean Perceived Stress (12.7 vs 16.3; 95% CI 2.1-5.3) and significant increase in Brief Resilience (3.9 vs 3.7; 95% CI 0.05-0.34) and Cohesion (33 vs 27; 95% CI 4.3-6.7). First year residents experienced the greatest increase in Cohesion compared to fourth year residents (p<0.001). Pre-retreat cohesion was significantly lower in 2022 than in 2018-2019 (26.6 vs 28.7 vs 28.6; p=0.04), with stress and resilience not significantly different by year. An annual resident retreat decreased stress, while increasing resilience and cohesion within a radiology residency, supporting retreats as a potentially viable intervention to promote physician well-being.

Quality Improvement Report: Improving Retrieval Time for CT Supplies by Using 5S.

The CT supply room is a critical resource in the imaging workflow. However, the supply room for the two CT scanners at our cancer center, one of which is used for our busy interventional service, was disorganized, and the time spent searching for the appropriate equipment could potentially lead to delays in service and contribute to patient safety risks. The purpose of this project was to reduce the time to find supplies and to increase the satisfaction of CT technologists and medical providers by reorganizing and clearly labeling supplies using "lean" principles. A multidisciplinary team was assembled to reorganize the CT storage using lean 5S methodology (sort, set in order, shine, standardize, and sustain). Baseline and postintervention analysis of the impact of supply reorganization and labeling was performed using three methods: (a) the time recorded for a supply retrieval scavenger hunt, (b) a spaghetti diagram of participant movement during the scavenger hunt, and (c) satisfaction surveys of radiologists and staff. Seven radiology residents participated in the timed supply retrieval scavenger hunt before and after the intervention. Spaghetti diagrams demonstrated a reduction in redundant foot traffic for supply retrieval after the intervention. There was a 61.7% decrease in the average time to retrieve the 10 items in the scavenger hunt (P < .01). Satisfaction surveys after the intervention had statistically significant positive responses compared with those before the intervention. ©RSNA, 2024.

Perspectives From the RadDiscord Annual Survey: Overview of the Top Study Tools and Evaluation of Study Time and Various Resources

Each year, senior radiology residents take the American Board of Radiology Qualifying (Core) exam to evaluate competency. Approximately 10% of first-time examinees will fail this exam (1). Understanding factors that contribute to success will help residency program directors and trainees prepare for future exams. RadDiscord (www.raddiscord.org), an international radiology educational community, is in the unique position to evaluate different study materials and resources. The goal of this paper is to report the results from the RadDiscord survey and analyze the factors that correlate with higher exam performance and passing. Following the February 2021, June 2021, and June 2022 exams, RadDiscord members were provided an anonymous survey, collecting information on study resources and exam scores. The collected data were analyzed using various statistical methods. Both descriptive and inferential analyses were performed. A total of 318 residents responded (95% passed). Significant variability in Qualifying (Core) exam performance and perceived quality of internal didactics existed between program types. Residents who did less than 2000 practice questions performed lower on the exam. The Diagnostic Radiology In-Training (DXIT) exam was the most predictive for passing and performance. Qualifying (Core) exam performance negatively correlated with study time, though certain residents did receive some benefit from study time. Many factors correlate with passing and Qualifying (Core) exam performance. Residency programs with fewer resources should consider alternative ways to support residents beyond offering study time. Residents who complete at least 2000 practice questions are more likely to pass and DXIT results can be a useful gauge to identify exam readiness.

Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation

BackgroundChest radiography (CXR) is still of crucial importance in primary diagnostics, but interpretation poses difficulties at times. Research QuestionCan a convolutional neural network (CNN)-based AI system that interprets CXRs add value in an emergency unit (EU) setting? Study Design and MethodsA total of 563 CXRs acquired in the EU of a major university hospital were retrospectively assessed twice by three board-certified radiologists (BCRs), three radiology residents (RRs), and three EU-experienced non-radiology residents (NRRs) employing a two-step reading process: (1) without AI support (woAI), (2) with AI support providing additional images with AI overlays (wAI). Suspicion of four suspected pathologies (pleural effusion, pneumothorax, consolidations suspicious for pneumonia, nodules) was reported on a 5-point confidence scale. BCRs’ confidence scores were converted into four binary reference standards (RFS I-IV) of different sensitivities. RRs' and NRRs' performances woAI/wAI were statistically compared using receiver operating characteristics (ROCs), Youden statistics and operating point metrics derived from fitted ROC curves. ResultsNRRs could significantly improve performance, sensitivity and accuracy wAI in all four pathologies tested. E.g., in the most sensitive RFS IV, NRR consensus improved the AUC (mean, 95%-confidence-interval) in the detection of the time-critical pathology pneumothorax from 0.846 (0.785-0.907) woAI to 0.974 (0.947-1.000) wAI [p<0.001], which represented a gain of 30% in sensitivity and 2% in accuracy (while maintaining an optimized specificity). The most pronounced effect was observed in nodule detection, with NRR wAI improving sensitivity by 53% and accuracy by 7% (AUC woAI: 0.723 [0.661-0.785], wAI: 0.890 [0.848-0.931], p<0.001). The RR consensus wAI showed smaller, mostly non-significant gains in performance, sensitivity and accuracy. InterpretationIn an EU setting without 24/7 radiology coverage, the presented AI solution features an excellent clinical support tool to non-radiologists, similar to a second reader, and allows for a more accurate primary diagnosis and thus earlier therapy initiation.

Classification of intraarticular calcaneal fractures: comparison of two classification systems

PurposeAccurately classifying displaced intraarticular calcaneal fractures (DIACFs) is essential for orthopedic surgeons to choose optimal treatment methods and provide results evaluation and communication. Many authors studying used Sanders classification reported moderate intra- and interobserver reliability. Taking the software opportunity of 3D virtual exarticulation, Goldzak updated French tri-dimensional Utheza classification, providing an alternative framework for classifying DIACFs. The aim of this study was to compare the intra- and interobserver reliability of Sanders versus Goldzak classification systems.MethodsThe CT scans of 30 patients with displaced intraarticular calcaneal fractures, treated in the same trauma center between 2014–2018, were analyzed by 16 medical doctors (specialists and residents in orthopedic surgery, specialists and residents in radiology), and classified according to Sanders and Goldzak classifications. The same images were sent on two separate sessions, in a randomized order. Interobserver reliability and intraobserver reproducibility were assessed using Kappa statistics and Gwet’s AC1 coefficient.ResultsInterobserver reliability using Gwet reported a value of 0.36 for Goldzak classification and 0.30 for Sanders classification (corresponding to “fair assessment” in both cases). In absence of subclasses, “substantial assessment” was reported for Goldzak classification (Gwet of 0.61) and “moderate assessment” for Sanders classification (Gwet of 0.46). Goldzak system had a greater interobserver reliability in the group of radiology residents. Intraobserver reliability coefficient was 0.60 for Goldzak classification and 0.69 for Sanders classification, indicating a substantial agreement for both classifications.ConclusionDespite the better view of the fracture lines provided by 3D reconstructions, this study failed to prove the superiority of Goldzak classification compared to Sanders classification for DIACFs.

10-year update to the combined 16-month nuclear medicine and diagnostic radiology residency: The NuRad pathway

BackgroundThe decline in nuclear medicine (NM) residencies in the United States has led to a shortage of NM physicians. To help address this, a 16-month NM pathway for diagnostic radiology (DR) residents was developed in 2010. At the University of Arkansas for Medical Sciences, we matched our first resident into the NuRad (NM + DR) pathway in 2013. Despite our success, we remain one of only five programs in the United States that offers a combined training pathway through the National Resident Matching Program. ObjectivesReview our 10-year experience with the NuRad pathway at UAMS and highlight the key components and significance of the 16-month NM pathway. MethodsRetrospective review of NRMP applicants to the DR and NuRad pathway from 2013 and 2023 at UAMS. Literature and website review of the educational structure of the 16-month NM pathway. ResultsWe have seen significant increase in the number of applicants to the NuRad pathway at UAMS over the last 10 years with 184 applicants for 1 position in 2023, up from 18 applicants in 2013. Furthermore, we have seen an increase in the USMLE step scores for applicants during this time. ConclusionsThere is a growing need for NM trained physicians in the United States. Over the last 10 years, we have seen increasing interest in the NM 16-month pathway as a part of DR residency. A wider implementation of this combined training pathway is needed, if we are to realize its full potential.

A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist

ObjectivesTo present a framework to develop and implement a fast-track artificial intelligence (AI) curriculum into an existing radiology residency program, with the potential to prepare a new generation of AI conscious radiologists.MethodsThe AI-curriculum framework comprises five sequential steps: (1) forming a team of AI experts, (2) assessing the residents’ knowledge level and needs, (3) defining learning objectives, (4) matching these objectives with effective teaching strategies, and finally (5) implementing and evaluating the pilot. Following these steps, a multidisciplinary team of AI engineers, radiologists, and radiology residents designed a 3-day program, including didactic lectures, hands-on laboratory sessions, and group discussions with experts to enhance AI understanding. Pre- and post-curriculum surveys were conducted to assess participants’ expectations and progress and were analyzed using a Wilcoxon rank-sum test.ResultsThere was 100% response rate to the pre- and post-curriculum survey (17 and 12 respondents, respectively). Participants’ confidence in their knowledge and understanding of AI in radiology significantly increased after completing the program (pre-curriculum means 3.25 ± 1.48 (SD), post-curriculum means 6.5 ± 0.90 (SD), p-value = 0.002). A total of 75% confirmed that the course addressed topics that were applicable to their work in radiology. Lectures on the fundamentals of AI and group discussions with experts were deemed most useful.ConclusionDesigning an AI curriculum for radiology residents and implementing it into a radiology residency program is feasible using the framework presented. The 3-day AI curriculum effectively increased participants’ perception of knowledge and skills about AI in radiology and can serve as a starting point for further customization.Critical relevance statementThe framework provides guidance for developing and implementing an AI curriculum in radiology residency programs, educating residents on the application of AI in radiology and ultimately contributing to future high-quality, safe, and effective patient care.Key points• AI education is necessary to prepare a new generation of AI-conscious radiologists.• The AI curriculum increased participants’ perception of AI knowledge and skills in radiology.• This five-step framework can assist integrating AI education into radiology residency programs.Graphical

Implementation of training level-specific self-study guides for diagnostic radiology residents

IntroductionCurrently, there is no universally accepted diagnostic radiology curriculum for self-studying, so diagnostic radiology residents often have a challenging time knowing where to begin their independent studying away from work. In an effort to meet the needs of today's residents, we attempted to provide structured, comprehensive self-studying suggestions in a digestible and personalized format. Materials and methodsEach radiology division attempted to create an optimal learning resource form for the residents to use for self-studying while on each rotation. Each self-study guide included hyperlinks to easily accessible online resources. ResultsTraining level-specific week-by-week recommendations were provided based on the expected types of cases a resident would typically encounter during that timeframe. All of the neuroradiology rotation forms and several of the other subspecialty forms were originally made available to the residents and faculty electronically on July 1, 2022. The forms are now distributed to newly rotating residents on a monthly basis. DiscussionThere is a fine balance between providing residents with comprehensive review material and promoting realistic expectations. In addition, educators must keep in mind financial limitations of their residents and institutions. Learning resources must be affordable to be accessible to all residents. As radiology and technology continuously advance, there will undoubtedly be more and more excellent resources for trainees to learn from. To optimize self-studying, retention of information, and wellness, it is imperative to provide our residents with a structured, personalized, manageable curriculum including easily accessible high-yield resources.

Assessing the debt and current state of financial literacy in a cohort of diagnostic & interventional radiology residents

Rationale and objectivesThe purpose of this study is to assess diagnostic and interventional radiology resident physicians' knowledge of core facets of financial literacy: loans, real estate, investments and retirement, and insurance, with the goal of determining the need for formal financial literacy education within radiology residency programs. MethodsFrom May 2021 to March 2022, surveys were sent to 196 diagnostic and 90 interventional radiology residency programs. Residents were asked 10 knowledge multiple choice questions to assess areas of financial literacy. Custom R programming was used to evaluate responses. ResultsA total of 149 diagnostic radiology residents and 49 interventional radiology residents responded to portions of the survey, for a total of 198 respondents. Of the cohort with demographic data collected, 84 out of 141 residents (60 %) had over $100,000 of debt following medical school graduation, with 115 out of 146 DR residents (79 %) and 41 out of 47 (87 %) IR residents reporting no coursework in finance. ConclusionsMany radiology resident physicians have a significant debt burden, no official financial education, and clear knowledge gaps in areas of financial literacy. A structured financial education curriculum could better prepare residents for the financial realities of post-residency life.

Is reassessment of Computed Tomography Reports Worthwhile in Acute Diverticulitis?

Introduction: Since the assessment of the disease severity in acute diverticulitis (AD) is of utmost importance to determine the optimal treatment and the need for follow-up investigations, we wanted to investigate whether the first CT report is compatible with daytime reassessment report and whether the value of initial report changes according to the experience of the radiologist. Methods: Consecutive patients from tertiary referral centre with AD were included. CT images done in the emergency department were initially analysed by either resident radiologists or consultant radiologists and then later reanalysed by consultant abdominal radiologists. Discrepancies between reports were noted. Results: Of total of 562 patients with AD, CT images were reanalysed in 439 cases. In 22 reports (5.0%) the final report was significantly different from the initial report and management changed in 20 cases. In reports of uncomplicated acute diverticulitis, reanalysis changed initial assessment in 4.0% of the cases and in complicated acute diverticulitis (CAD) in 9.1%. When consultant and resident radiologists were compared, there was no significant difference. Conclusion: Although no statistical difference could be noted between residents and consultants, the final report was significantly different in overall 5% of the cases when reanalysed at normal working hours by an experienced consultant abdominal radiologist. Therefore, we conclude that reassessment of CT reports is worthwhile in AD.

Assessing the impact of structured reporting on learning how to report lung cancer staging CT: A triple cohort study on inexperienced readers

PurposeTo assess the clinical utility of chest computed tomography (CT) reports for non-small-cell lung cancer (NSCLC) staging generated by inexperienced readers using structured reporting (SR) templates from the Royal College of Radiologists (RCR-SR) and the Italian Society of Medical and Interventional Radiology (SIRM-SR), compared to traditional non-systematic reports (NSR). MethodsIn a cohort of 30 NSCLC patients, six third-year radiology residents reported CT examinations in two 2-month-apart separate sessions using NSR in the first and NSR, RCR-SR, or SIRM-SR in the second. Couples of expert radiologists and thoracic oncologists in consensus evaluated completeness, accuracy, and clarity. All the quality indicators were expressed on a 100-point scale. The Wilcoxon signed ranks, and Wilcoxon-Mann Whitney tests were used for statistical analyses. ResultsResults showed significantly higher completeness for RCR-SR (90 %) and SIRM-SR (100 %) compared to NSR (70 %) in the second session (all p < 0.001). SIRM-SR demonstrated superior accuracy (70 % vs. 55 %, p < 0.001) over NSR, while RCR-SR and NSR accuracy did not significantly differ (60 % vs. 62.5 %, p = 0.06). In the second session, RCR-SR and SIRM-SR surpassed NSR in completeness, accuracy, and clarity (all p < 0.001, except p = 0.04 for accuracy between RCR-SR and NSR). SIRM-SR outperformed RCR-SR in completeness (100 % vs. 90 %, p < 0.001) and accuracy (70 % vs. 62.5 %, p = 0.002), with equivalent clarity (90 % for both, p = 0.27). ConclusionsInexperienced readers using RCR-SR and SIRM-SR demonstrated high-quality reporting, indicating their potential in radiology residency programs to enhance reporting skills for NSCLC staging and effective interaction with all the physicians involved in managing NSCLC patients.

Manual prostate MRI segmentation by readers with different experience: a study of the learning progress

ObjectiveTo evaluate the learning progress of less experienced readers in prostate MRI segmentation.Materials and methodsOne hundred bi-parametric prostate MRI scans were retrospectively selected from the Göteborg Prostate Cancer Screening 2 Trial (single center). Nine readers with varying degrees of segmentation experience were involved: one expert radiologist, two experienced radiology residents, two inexperienced radiology residents, and four novices. The task was to segment the whole prostate gland. The expert’s segmentations were used as reference. For all other readers except three novices, the 100 MRI scans were divided into five rounds (cases 1–10, 11–25, 26–50, 51–76, 76–100). Three novices segmented only 50 cases (three rounds). After each round, a one-on-one feedback session between the expert and the reader was held, with feedback on systematic errors and potential improvements for the next round. Dice similarity coefficient (DSC) > 0.8 was considered accurate.ResultsUsing DSC > 0.8 as the threshold, the novices had a total of 194 accurate segmentations out of 250 (77.6%). The residents had a total of 397/400 (99.2%) accurate segmentations. In round 1, the novices had 19/40 (47.5%) accurate segmentations, in round 2 41/60 (68.3%), and in round 3 84/100 (84.0%) indicating learning progress.ConclusionsRadiology residents, regardless of prior experience, showed high segmentation accuracy. Novices showed larger interindividual variation and lower segmentation accuracy than radiology residents. To prepare datasets for artificial intelligence (AI) development, employing radiology residents seems safe and provides a good balance between cost-effectiveness and segmentation accuracy. Employing novices should only be considered on an individual basis.Clinical relevance statementEmploying radiology residents for prostate MRI segmentation seems safe and can potentially reduce the workload of expert radiologists. Employing novices should only be considered on an individual basis.Key Points• Using less experienced readers for prostate MRI segmentation is cost-effective but may reduce quality. • Radiology residents provided high accuracy segmentations while novices showed large inter-reader variability. • To prepare datasets for AI development, employing radiology residents seems safe and might provide a good balance between cost-effectiveness and segmentation accuracy while novices should only be employed on an individual basis. Graphical abstract

Radiology trainee retirement programs: Options and participation

BackgroundFinancial security and retirement planning are essential for all medical professionals including radiology residents. Given the available discretionary income during residency it is crucial to have insights into investment. We aimed to assess the prevalence of retirement plans offered to radiology residents, the available choices, and their degree of participation. MethodsTwo surveys were created using Qualtrics platform, one targeting program directors and another one oriented to radiology residents with items focused on demographic, financial status, offered plans, and participation. Analysis was performed using chi square whenever appropriate using Qualtrics platform. P values less than 0.05 were considered statistically significant. Results199 radiology residents (72.6% attending university-based programs) responded to the survey. 83.7% participated in retirement plans; university-based programs had the highest rate of offering plans; 82.8% vs 70% and 53.8% for university, community and hybrid programs respectively. The most frequently offered retirement plan was a 403(b). Most of the residents (94.3%) started investment in the retirement program as early as PGY1 and PGY2. A considerable proportion of programs lacked formal training on retirement plans; however, residents emphasized the significance of financial education during their residency. ConclusionRadiology residents are more likely to participate in a retirement plan if it is offered by their program. Providing proper guidance by incorporating financial education into radiology residency curricula can optimize residents’ decision making and economical planning, leading to a more secure financial future.

Factors for which radiology residents choose fellowship

PurposeThe objective of this study is to assess factors that influence radiology residents’ decision to pursue fellowship. Historically a large majority of Diagnostic Radiology (DR) residents have pursued fellowship, but with changes in the job market and the Covid-19 pandemic, this study analyzes the current trends associated with radiology fellowship choice. Materials and methodsAn anonymous 28-question survey was constructed based on literature review and pilot feedback from university radiology residents. The survey was distributed through APDR and to all program coordinators to be distributed to residents. Demographic information and questions related to fellowship choice were assessed. The survey was conducted through RedCap and consisted of multiple choice and sliding scale questions. Results214 radiology residents responded, representing 4.6 % of US DR residents across 199 programs. The top fellowship choices included neuroradiology (20.5 %), musculoskeletal imaging (17.3 %), body imaging (16.8 %), and breast imaging (16.4 %). Most influential factors for fellowship selection were strong personal interest, enjoyable rotation, work hours, job security, and compensation. Least influential factors were research opportunities and specific group practice. ConclusionThe decision to pursue fellowship remains almost unanimous among US DR residents. Strong personal interest, enjoyable rotations, and favorable work hours were rated as the most important factors in the decision to pursue fellowship. Neuroradiology, musculoskeletal, and body imaging remained the most popular specialties, with a notable increase in interest in breast radiology compared to literature. To attract prospective fellows, residency and fellowship programs should emphasize aforementioned factors and offer more early exposure to subspecialties during residency.

Tendinous Signal Alterations on MRI in the Asymptomatic Elbow: A Retrospective Cross-Sectional Study.

It is clinically relevant to prevent overtreatment of tendinopathy diagnosed solely on imaging. Therefore, the prevalence of presumable asymptomatic signal changes in the common flexor origin, biceps insertion, brachialis insertion, and triceps insertion were assessed. Two hundred and five magnetic resonance imaging (MRI) exams of the elbow with coronal and axial fat-saturated fluid-sensitive sequences between January 1, 2018 and July 31, 2022 were retrospectively identified in our center.Two radiology residents reviewed the exams independently. The elbow tendons were given a score from 0 to 4. Score 0: no signal abnormality; score 1: increased T2-weighted signal around the tendon; score 2: increased T2-weighted signal compared to muscle within the tendon; score 3: partial tear; and score 4: complete tear. The common flexor tendon showed signal alterations in 8% of patients; nine patients had an increased signal around the tendon, and eight patients had an increased signal within the tendon. Three patients (1.5%) had an altered signal intensity in the biceps tendon. All triceps tendons showed a linear hyperintense signal, suggesting that it is physiological. There were no partial or complete tears. No signal abnormalities were noted in the brachialis tendon among all patients. The prevalence of presumable asymptomatic signal alterations seen in the common flexor origin on MRI is not negligible; therefore, clinical correlation is advised to prevent overtreatment of tendinopathy in these cases. No partial or complete tears were seen.

Assessing the Capability of ChatGPT, Google Bard, and Microsoft Bing in Solving Radiology Case Vignettes.

Background The field of radiology relies on accurate interpretation of medical images for effective diagnosis and patient care. Recent advancements in artificial intelligence (AI) and natural language processing have sparked interest in exploring the potential of AI models in assisting radiologists. However, limited research has been conducted to assess the performance of AI models in radiology case interpretation, particularly in comparison to human experts. Objective This study aimed to evaluate the performance of ChatGPT, Google Bard, and Bing in solving radiology case vignettes (Fellowship of the Royal College of Radiologists 2A [FRCR2A] examination style questions) by comparing their responses to those provided by two radiology residents. Methods A total of 120 multiple-choice questions based on radiology case vignettes were formulated according to the pattern of FRCR2A examination. The questions were presented to ChatGPT, Google Bard, and Bing. Two residents wrote the examination with the same questions in 3 hours. The responses generated by the AI models were collected and compared to the answer keys and explanation of the answers was rated by the two radiologists. A cutoff of 60% was set as the passing score. Results The two residents (63.33 and 57.5%) outperformed the three AI models: Bard (44.17%), Bing (53.33%), and ChatGPT (45%), but only one resident passed the examination. The response patterns among the five respondents were significantly different ( p = 0.0117). In addition, the agreement among the generative AI models was significant (intraclass correlation coefficient [ICC] = 0.628), but there was no agreement between the residents (Kappa = -0.376). The explanation of generative AI models in support of answer was 44.72% accurate. Conclusion Humans exhibited superior accuracy compared to the AI models, showcasing a stronger comprehension of the subject matter. All three AI models included in the study could not achieve the minimum percentage needed to pass an FRCR2A examination. However, generative AI models showed significant agreement in their answers where the residents exhibited low agreement, highlighting a lack of consistency in their responses.

Musculoskeletal Radiology Education: A National Survey by the Italian College of Musculoskeletal Radiology.

Our aim was to understand how musculoskeletal training is structured in Italian residency programmes and the needs of young trainees. We sent out an online questionnaire (17 questions) to Italian Society of Radiology residents and board-certified radiologists aged up to 39 years. A total of 1144 out of 4210 (27.2%) members participated in the survey; 64.7% were residents and 35.3% were board-certified radiologists. Just 26.6% of participants had dedicated rotations for musculoskeletal training during their residency, although this percentage substantially increased in replies from northern Italy. One-fourth of residents had a scheduled period of musculoskeletal ultrasound. Most participants (76.3%) had <20 h per year of musculoskeletal lessons. The majority considered their musculoskeletal education poor (57.7%) or average (21.9%). According to 84.8% of replies, no dedicated training period about interventional musculoskeletal procedures was scheduled. Further, just 12.8% of residents took active part in such interventions. Nearly all participants believed that the musculoskeletal programme during residency needs to be improved, particularly concerning practices in ultrasound (92.8%), MRI cases interpretation/reporting (78.9%), and practice in ultrasound-guided interventional procedures (64.3%). Despite some differences in the structure of musculoskeletal education provided by different regions, there is a shared demand for improvement in musculoskeletal training.