Chest CT in COVID-19: What the Radiologist Needs to Know

Chest CT has a potential role in the diagnosis, detection of complications, and prognostication of coronavirus disease 2019 (COVID-19). Implementation of appropriate precautionary safety measures, chest CT protocol optimization, and a standardized reporting system based on the pulmonary findings in this disease will enhance the clinical utility of chest CT. However, chest CT examinations may lead to both false-negative and false-positive results. Furthermore, the added value of chest CT in diagnostic decision making is dependent on several dynamic variables, most notably available resources (real-time reverse transcription-polymerase chain reaction [RT-PCR] tests, personal protective equipment, CT scanners, hospital and radiology personnel availability, and isolation room capacity) and the prevalence of both COVID-19 and other diseases with overlapping manifestations at chest CT. Chest CT is valuable to detect both alternative diagnoses and complications of COVID-19 (acute respiratory distress syndrome, pulmonary embolism, and heart failure), while its role for prognostication requires further investigation. The authors describe imaging and managing care of patients with COVID-19, with topics including (a) chest CT protocol, (b) chest CT findings of COVID-19 and its complications, (c) the diagnostic accuracy of chest CT and its role in diagnostic decision making and prognostication, and (d) reporting and communicating chest CT findings. The authors also review other specific topics, including the pathophysiology and clinical manifestations of COVID-19, the World Health Organization case definition, the value of performing RT-PCR tests, and the radiology department and personnel impact related to performing chest CT in COVID-19. ©RSNA, 2020.

National implementation of multi-parametric magnetic resonance imaging for prostate cancer detection - recommendations from a UK consensus meeting

OBJECTIVES

To identify areas of agreement and disagreement in the implementation of multi-parametric magnetic resonance imaging (mpMRI) of the prostate in the diagnostic pathway.

MATERIALS AND METHODS

Fifteen UK experts in prostate mpMRI and/or prostate cancer management across the UK (involving nine NHS centres to provide for geographical spread) participated in a consensus meeting following the Research and Development Corporation and University of California-Los Angeles (UCLA-RAND) Appropriateness Method, and were moderated by an independent chair. The experts considered 354 items pertaining to who can request an mpMRI, prostate mpMRI protocol, reporting guidelines, training, quality assurance (QA) and patient management based on mpMRI levels of suspicion for cancer. Each item was rated for agreement on a 9-point scale. A panel median score of ≥7 constituted 'agreement' for an item; for an item to reach 'consensus', a panel majority scoring was required.

RESULTS

Consensus was reached on 59% of items (208/354); these were used to provide recommendations for the implementation of prostate mpMRI in the UK. Key findings include prostate mpMRI requests should be made in consultation with the urological team; mpMRI scanners should undergo QA checks to guarantee consistently high diagnostic quality scans; scans should only be reported by trained and experienced radiologists to ensure that men with unsuspicious prostate mpMRI might consider avoiding an immediate biopsy.

CONCLUSIONS

Our consensus statements demonstrate a set of criteria that are required for the practical dissemination of consistently high-quality prostate mpMRI as a diagnostic test before biopsy in men at risk.

Systematic viewing in radiology: seeing more, missing less?

To prevent radiologists from overlooking lesions, radiology textbooks recommend "systematic viewing," a technique whereby anatomical areas are inspected in a fixed order. This would ensure complete inspection (full coverage) of the image and, in turn, improve diagnostic performance. To test this assumption, two experiments were performed. Both experiments investigated the relationship between systematic viewing, coverage, and diagnostic performance. Additionally, the first investigated whether systematic viewing increases with expertise; the second investigated whether novices benefit from full-coverage or systematic viewing training. In Experiment 1, 11 students, ten residents, and nine radiologists inspected five chest radiographs. Experiment 2 had 75 students undergo a training in either systematic, full-coverage (without being systematic) or non-systematic viewing. Eye movements and diagnostic performance were measured throughout both experiments. In Experiment 1, no significant correlations were found between systematic viewing and coverage, r = -.10, p = .62, and coverage and performance, r = -.06, p = .74. Experts were significantly more systematic than students F2,25 = 4.35, p = .02. In Experiment 2, significant correlations were found between systematic viewing and coverage, r = -.35, p < .01, but not between coverage and performance, r = .13, p = .31. Participants in the full-coverage training performed worse compared with both other groups, which did not differ between them, F2,71 = 3.95, p = .02. In conclusion, the data question the assumption that systematic viewing leads to increased coverage, and, consequently, to improved performance. Experts inspected cases more systematically, but students did not benefit from systematic viewing training.

The radiology workforce's response to the COVID-19 pandemic in the Middle East, North Africa and India

INTRODUCTION

This study aimed to investigate the response of the radiology workforce to the impact of the coronavirus disease 2019 (COVID-19) pandemic on professional practice in India and eight other Middle Eastern and North African countries. It further investigated the levels of fear and anxiety among this workforce during the pandemic.

METHODS

A quantitative cross-sectional study was conducted using an online survey from 22 May-2 June 2020 among radiology workers employed during the COVID-19 pandemic. The survey collected information related to the following themes: (1) demographic characteristics, (2) the impact of COVID-19 on radiology practice, and (3) fear and (4) anxiety emanating from the global pandemic.

RESULTS

We received 903 responses. Fifty-eight percent had completed training on infection control required for handling COVID-19 patients. A large proportion (79.5%) of the respondents strongly agreed or agreed that personal protective equipment (PPE) was adequately available at work during the pandemic. The respondents reported experiences of work-related stress (42.9%), high COVID-19 fear score (83.3%) and anxiety (10%) during the study period.

CONCLUSION

There was a perceived workload increase in general x-ray and Computed Tomography imaging procedures because they were the key modalities for the initial and follow-up investigations of COVID-19. However, there was adequate availability of PPE during the study period. Most radiology workers were afraid of being infected with the virus. Fear was predominant among workers younger than 30 years of age and also in temporary staff. Anxiety occurred completely independent of gender, age, experience, country, place of work, and work status.

IMPLICATIONS FOR PRACTICE

It is important to provide training and regular mental health support and evaluations for healthcare professionals, including radiology workers, during similar future pandemics.

Communication skills training for radiation therapists: preparing patients for radiation therapy

INTRODUCTION

Patients sometimes present for radiation therapy with high levels of anxiety. Communication skills training may assist radiation therapists to conduct more effective consultations with patients prior to treatment planning and treatment commencement. The overall aim of our research is to examine the effectiveness of a preparatory programme 'RT Prepare' delivered by radiation therapists to reduce patient psychological distress. The purpose of this manuscript was to describe the communication skills workshops developed for radiation therapists and evaluate participants' feedback.

METHODS

Radiation therapists were invited to participate in two communication skills workshops run on the same day: (1) Consultation skills in radiation therapy and (2) Eliciting and responding to patients' emotional cues. Evaluation forms were completed. Radiation therapists' consultations with patients were then audio-recorded and evaluated prior to providing a follow-up workshop with participants.

RESULTS

Nine full day workshops were held. Sixty radiation therapists participated. Positive feedback was received for both workshops with 88% or more participants agreeing or strongly agreeing with all the statements about the different components of the two workshops. Radiation therapists highlighted participating in role play with an actor, discussing issues; receiving feedback; acquiring new skills and knowledge; watching others role play and practicing with checklist were their favourite aspects of the initial workshop. The follow-up workshops provided radiation therapists with feedback on how they identified and addressed patients' psychological concerns; time spent with patients during consultations and the importance of finding private space for consultations.

CONCLUSION

Communication skills training consisting of preparing patients for radiation therapy and eliciting and responding to emotional cues with follow-up workshops has the potential to improve radiation therapists' interactions with patients undergoing radiation therapy. Further research is warranted, similar to the RT Prepare study, to determine whether patient anxiety can be reduced as a result of improving communication and information provision.

A machine and human reader study on AI diagnosis model safety under attacks of adversarial images

While active efforts are advancing medical artificial intelligence (AI) model development and clinical translation, safety issues of the AI models emerge, but little research has been done. We perform a study to investigate the behaviors of an AI diagnosis model under adversarial images generated by Generative Adversarial Network (GAN) models and to evaluate the effects on human experts when visually identifying potential adversarial images. Our GAN model makes intentional modifications to the diagnosis-sensitive contents of mammogram images in deep learning-based computer-aided diagnosis (CAD) of breast cancer. In our experiments the adversarial samples fool the AI-CAD model to output a wrong diagnosis on 69.1% of the cases that are initially correctly classified by the AI-CAD model. Five breast imaging radiologists visually identify 29%-71% of the adversarial samples. Our study suggests an imperative need for continuing research on medical AI model's safety issues and for developing potential defensive solutions against adversarial attacks.

2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography: A Statement from the Society of Cardiovascular Computed Tomography

Cardiovascular computed tomography (CCT) is a well-validated non-invasive imaging tool with an ever-expanding array of applications beyond the assessment of coronary artery disease. These include the evaluation of structural heart diseases, congenital heart diseases, peri-procedural electrophysiology applications, and the functional evaluation of ischemia. This breadth requires a robust and diverse training curriculum to ensure graduates of CCT training programs meet minimum competency standards for independent CCT interpretation. This statement from the Society of Cardiovascular Computed Tomography aims to supplement existing societal training guidelines by providing a curriculum and competency framework to inform the development of a comprehensive, integrated training experience for cardiology and radiology trainees in CCT.

Increasing radiology capacity within the lung cancer pathway: centralised work-based support for trainee chest X-ray reporting radiographers

INTRODUCTION

Diagnostic capacity and time to diagnosis are frequently identified as a barrier to improving cancer patient outcomes. Maximising the contribution of the medical imaging workforce, including reporting radiographers, is one way to improve service delivery.

METHODS

An efficient and effective centralised model of workplace training support was designed for a cohort of trainee chest X-ray (CXR) reporting radiographers. A comprehensive schedule of tutorials was planned and aligned with the curriculum of a post-graduate certificate in CXR reporting. Trainees were supported via a hub and spoke model (centralised training model), with the majority of education provided by a core group of experienced CXR reporting radiographers. Trainee and departmental feedback on the model was obtained using an online survey.

RESULTS

Fourteen trainees were recruited from eight National Health Service Trusts across London. Significant efficiencies of scale were possible with centralised support (48 h) compared to traditional workplace support (348 h). Trainee and manager feedback overall was positive. Trainees and managers both reported good trainee support, translation of learning to practice and increased confidence. Logistics, including trainee travel and release, were identified as areas for improvement.

CONCLUSION

Centralised workplace training support is an effective and efficient method to create sustainable diagnostic capacity and support improvements in the lung cancer pathway.

Critical Evaluation of Interventional Neuroradiology Fellowship Program Websites in North America

OBJECTIVE

To investigate the accessibility and content of interventional neuroradiology (INR) fellowship program websites in North America.

METHODS

We obtained a list of INR/endovascular surgical neuroradiology (ESN) fellowship programs from the Accreditation Council for Graduate Medical Education, the Committee on Advanced Subspecialty Training, the Society of NeuroInterventional Surgery, and the Neurosurgical Fellowship Training Program Directory websites. Individual program websites were evaluated for 27 different fellow recruitment and education criteria. U.S. programs were grouped based on census region and national ranking, and differences between these groups with regard to fellow recruitment and education characteristics were analyzed using nonparametric statistics.

RESULTS

A total of 79 INR/ESN fellowship websites were evaluated for presence of fellow recruitment and education features. Approximately one third of all features pertinent to recruitment (32.11%) and approximately 1 in 5 features regarding education (19.11%) were described in these websites. Program description (69.6%), program coordinator/administrator contact e-mail (59.5%), program director's name (59.5%), program eligibility requirements (51.9%), research opportunities (40.5%), and faculty listing (39.2%) were among the most frequently described features, whereas details about parking (1.3%), interview day itinerary (1.3%), meal allowance (2.5%), retirement and benefits (3.8%), and call schedule (5.1%) were the least frequently described features. There was no significant difference between surveyed features and programs when stratified by U.S. census region, neurosurgery/neurology hospital rankings, or accreditation status.

CONCLUSIONS

INR/ESN fellowship website content is variable across North America and there is room for improvement to develop and enhance comprehensiveness of program website content.

Endovascular simulation as a supplemental training tool during the COVID-19 national emergency

The ongoing COVID pandemic raises many concerns as our healthcare system is pushed to its limits and as a consequence, Interventional Radiology training may be compromised. Endovascular simulators allow trainees many benefits to build and maintain endovascular skills in a safe environment. Our experience demonstrates a methodology to maintain IR training with use of didactic and simulation supplementation during the COVID-19 pandemic, which may be helpful for incorporation at other institutions facing similar challenges.

Reliability and validity of the World Health Organization reading standards for paediatric chest radiographs used in the field in an impact study of Pneumococcal Conjugate Vaccine in Kilifi, Kenya

BACKGROUND

Radiologically-confirmed pneumonia (RCP) is a specific end-point used in trials of Pneumococcal Conjugate Vaccine (PCV) to estimate vaccine efficacy. However, chest radiograph (CXR) interpretation varies within and between readers. We measured the repeatability and reliability of paediatric CXR interpretation using percent agreement and Cohen's Kappa and the validity of field readings against expert review in a study of the impact of PCV on pneumonia.

METHODS

CXRs were obtained from 2716 children admitted between 2006 and 2014 to Kilifi County Hospital, Kilifi, Kenya, with clinically-defined severe or very-severe pneumonia. Five clinicians and radiologists attended a three-day training course on CXR interpretation using a WHO standard. All CXRs were read once by two local primary readers. Discordant readings and 13% of concordant readings were arbitrated by a panel of three expert radiologists. To assess repeatability, a 5% median random sample was presented twice. Sensitivity and specificity of the primary readers' interpretations was estimated against the 'gold-standard' of the arbitrators' results.

RESULTS

Of 2716 CXRs, 2 were uninterpretable and 159 were evaluated twice. The percent agreement and Kappa for RCP were 89% and 0.68 and ranged between 84-97% and 0.19-0.68, respectively, for all pathological findings. Intra-observer repeatability was similar to inter-observer reliability. Sensitivities of the primary readers to detect RCP were 69% and 73%; specificities were 96% and 95%.

CONCLUSION

Intra- and inter-observer agreements on interpretations of radiologically-confirmed pneumonia are fair to good. Reasonable sensitivity and high specificity make radiologically-confirmed pneumonia, determined in the field, a suitable measure of relative vaccine effectiveness.

A pictorial review on clinicopathologic and radiologic features of duodenal gastrointestinal stromal tumors

Duodenal gastrointestinal stromal tumors (GISTs) are rare, and studies on their management are not sufficient. Owing to the complex anatomy of the duodenum and pancreatic head, GISTs can be misdiagnosed as pancreatic head tumors. Surgical resection is the first treatment for localized duodenal GISTs; thus, noninvasive imaging is important for the diagnosis and treatment of GISTs. Computed tomography, magnetic resonance imaging and endoscopic ultrasonography findings can be helpful for the diagnosis of duodenal GISTs and can help differentiate GISTs from other adjacent tumors.

Greater than the sum of the parts: Impact of radiographer clinical image interpretation

Radiographer preliminary image evaluation, within strong governance and audit systems, can help reduce diagnostic errors in the emergency setting. Radiographers, clinicians and radiologists should work together as a team to improve patient care and outcomes.

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources

Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations. However, Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence (AI)-powered language model, has made its mark in radiology education. It can generate learning assessments, create lesson plans, act as a round-the-clock virtual tutor, enhance critical thinking, translate materials for broader accessibility, summarize vast amounts of information, and provide real-time feedback for any subject, including radiology. Concerns have arisen regarding ChatGPT's data accuracy, currency, and potential biases, especially in specialized fields such as radiology. However, the quality, accessibility, and currency of e-learning content can also be imperfect. To enhance the educational journey for radiology residents, the integration of ChatGPT with expert-curated e-learning resources is imperative for ensuring accuracy and reliability and addressing ethical concerns. While AI is unlikely to entirely supplant traditional radiology study methods, the synergistic combination of AI with traditional e-learning can create a holistic educational experience.

A single activity with a practice quality improvement project for faculty and a quality improvement project for residents

PURPOSE

The Next Accreditation System (NAS) requires radiation oncology residents to do a formal quality improvement project during their residency. The American Board of Radiology (ABR) Maintenance of Certification (MOC) program requires certified physicians to complete a Practice Quality Improvement (PQI) project approximately every 3 years. The purpose of our project was to develop a clinical transition of care policy via a process that resulted in quality improvement project credit for residents and PQI credit for participating faculty.

METHODS AND MATERIALS

Approval for project implementation was obtained from the ABR MOC committee. The PQI project consisted of an initial survey to assess resident perception on resident transition of care in our department, formal sign-out training, and 2 postintervention surveys after 1 and 11 months. The primary endpoint was the percentage of questions with ≤1 unfavorable responses. Sign-test was used to determine response difference from neutral.

RESULTS

One hundred percent of surveyed residents completed the preintervention (n = 6), postintervention 1 (n = 7), and postintervention 2 (n = 8) surveys. In the preintervention, postintervention 1, and postintervention 2 surveys, 71.4%, 57.1%, and 57.1% of questions were answered with ≤1 unfavorable response, respectively. The number of questions with ≥75% favorable response was 7 (50%), 7 (50%), and 11 (78.5%) in the preintervention, postintervention 1, and postintervention 2 surveys, respectively (P = .13). A written sign-out template and monthly protected sign-out meetings were instituted. One resident and 3 attending physicians received credit for Accreditation Council of Graduate Medical Education NAS quality improvement and ABR MOC PQI projects, respectively.

CONCLUSIONS

This project shows the feasibility of a combined attending and resident physician effort to improve patient care and fulfill his or her respective ABR MOC PQI and Accreditation Council of Graduate Medical Education NAS requirements. Attending and resident physicians can tailor collaborative projects to fulfill MOC and NAS requirements unique to their subspecialty. Written sign-out templates and protected sign-out time may improve transition of care.

Utility of Supplemental Training to Improve Radiologist Performance in Breast Cancer Screening: A Literature Review

PURPOSE

The authors evaluate whether supplemental training for radiologists improves their breast screening performance and how this is measured.

METHODS

A systematic search was conducted in PubMed on August 3, 2017. Articles were included if they described supplemental training for radiologists reading mammograms to improve their breast screening performance and at least one outcome measure was reported. Study quality was assessed using the Medical Education Research Study Quality Instrument.

RESULTS

Of 2,199 identified articles, 18 were included, of which 17 showed improvement on at least one of the outcome measures, for at least one training activity or subgroup. Two measurement approaches were found. For the first approach, measuring performance on test sets, sensitivity, and specificity were the most reported outcomes (8 of 11 studies). Recall rate is the most reported outcome (6 of 7 studies) for the second approach, which measures performance in actual screening practice. The studies were mainly of moderate quality (Medical Education Research Study Quality Instrument score 11.7 ± 1.7), caused by small sample sizes and the lack of a control group.

CONCLUSIONS

Supplemental training helps radiologists improve their screening performance, despite the mainly moderate quality of the studies. There is a need for better designed studies. Future studies should focus on performance in actual screening practice and should look for methods to isolate the training effect. If test sets are used, focus should be on knowledge about correlation between performance on test sets and actual screening practice.

Training and Education Requirements for Authorized Users of Therapeutic Radiopharmaceuticals: Changes Under Consideration for 10CFR35.390 and Their Potential Impact

The US Nuclear Regulatory Commission (NRC) and 38 Agreement States have the regulatory authority to promulgate and enforce regulations related to the use of radioisotopes for medical purposes. Elements of these regulations include training and experience (T&E) requirements for individuals authorized to use the agents. These regulations are specified in 10CFR35.390. At this time, the NRC is considering significant revisions to the T&E requirements. This article describes current regulations and concerns related to the proposed changes and details the ACR organizational response.

Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms

The aim of this investigation was to compare the diagnostic performance of radiographers and deep learning algorithms in pulmonary nodule/mass detection on chest radiograph.A test set of 100 chest radiographs containing 53 cases with no pathology (normal) and 47 abnormal cases (pulmonary nodules/masses) independently interpreted by 6 trained radiographers and deep learning algorithems in a random order. The diagnostic performances of both deep learning algorithms and trained radiographers for pulmonary nodules/masses detection were compared.QUIBIM Chest X-ray Classifier, a deep learning through mass algorithm that performs superiorly to practicing radiographers in the detection of pulmonary nodules/masses (AUCMass: 0.916 vs AUCTrained radiographer: 0.778, P < .001). In addition, heat-map algorithm could automatically detect and localize pulmonary nodules/masses in chest radiographs with high specificity.In conclusion, the deep-learning based computer-aided diagnosis system through 4 algorithms could potentially assist trained radiographers by increasing the confidence and access to chest radiograph interpretation in the age of digital age with the growing demand of medical imaging usage and radiologist burnout.

Establishing a successful cardiovascular computed tomography service: Financial and regulatory challenges facing radiologists and cardiologists

Cardiac imagers, radiologists or cardiologists, do not receive adequate training or preparation for the harsh realities of running imaging programs and most of the training follows graduation where they are learning on the job and from their own mistakes. There are many factors and skill sets need to help imagers to run a successful and financially independent practice that are easily not easily acquired or researched independently. The intent of this review is to provide a checklist of steps recommended to create a successful program and to give insight into the financial considerations associated with workforce, equipment, training and sustainability. The challenges faced are broadly similar between practice types, but some distinct differences do exist within varying practice environments.

Creating a Sustainable Foundation for IR Services and Training in Sub-Saharan Africa: 5-Year Update on the Road2IR Initiative

PURPOSE

To evaluate the growth and quality of an interventional radiology (IR) training model designed for resource-constrained settings and implemented in Tanzania as well as its overall potential to increase access to minimally invasive procedures across the region.

MATERIALS AND METHODS

IR training in Tanzania began in October 2018 through monthly deployment of visiting teaching teams for hands-on training combined with in-person and remote lectures. A competency-based 2-year Master of Science in IR curriculum was inaugurated at the nation's main teaching hospital in October 2019, with the first 2 classes graduating in 2021 and 2022. Procedural data, demographics, and clinical outcomes were collected and analyzed throughout the duration of this program.

RESULTS

From October 2018 to July 2022, 1,595 procedures were performed in Tanzania: 1,236 nonvascular and 359 vascular, all with local fellows as primary interventional radiologists. Of these, 97.2% were technically successful, 95.2% were without adverse events, and 28.9% were performed independently by Tanzanian fellows and faculty with no difference in adverse event and technical success rates (P = .63 and P = .90, respectively), irrespective of procedural class. Ten IR physicians graduated from this program during the study period, followed by another 3 per year going forward. Partner training programs in Uganda and Rwanda mirroring this model commenced in 2023 and 2024, respectively.

CONCLUSIONS

The reported training model offers a practical and effective solution to meet many of the challenges associated with the lack of access to IR in sub-Saharan Africa.

Evolving radiology continuing medical education: Tapping into the power of online learning

INTRODUCTION

Global education, particularly Continuing Medical Education (CME) for healthcare professionals, is quickly shifting online. This study assesses the opportunities and challenges of adopting online learning in radiology CME. It explores how radiologists and radiographers have adapted to this digital shift and the changing landscape of radiology education. The study also seeks to envision an innovative future for radiology education.

METHODS

A descriptive cross-sectional survey was conducted among radiologists and radiographers working in radiology departments in the United Arab Emirates (UAE). The survey collected data on participant demographics, experiences with CME, sources of CME, and perceptions of online learning. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) software.

RESULTS

The survey involved 65 radiologists and 215 radiographers. Findings indicated a significant shift from face-to-face to online CME activities, with 76.9% of radiologists and 70.7% of radiographers utilizing online resources for CME. Concerns about time management, technical issues, and expenses have emerged as challenges for online CME. Participants also highlighted the importance of free-of-charge CME and the value of active participation and anonymity in online discussions.

CONCLUSION

Radiology professionals have rapidly adapted to the changing landscape of CME by embracing online learning. While this shift offers greater flexibility and accessibility, technology-related challenges and concerns over time management persist. The study suggests that the future of radiology CME may involve personalized, adaptive, and interactive learning experiences, emphasizing mental well-being and resilience.

IMPLICATIONS FOR PRACTICE

Radiology professionals must embrace online CME for continuous skill enhancement, addressing technical challenges, fostering interactive learning environments, and ensuring accessibility to maintain high standards in patient care and medical advancements.