Radiology in the Era of Value-based Healthcare: A Multi-Society Expert Statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA

Balancing High Clinical Volumes and Non-RVU-generating Activities in Radiology, Part I: The Current Landscape

The Radiology Research Alliance (RRA) of the Association of Academic Radiology (AAR) convenes task forces to study trends that will shape the future of radiology. This article presents the findings of the AAR-RRA task force on balancing high clinical volumes and non-RVU-generating activities, which set out to analyze and underscore the full value of academic radiologists' contributions beyond RVU-generating clinical work. The Task Force's efforts are detailed in a two-part report. This first part describes the current landscape, while the second part focuses on future directions for academic radiology departments aiming to achieve a more optimal balance between high clinical volumes and non-RVU-generating activities.

State-Level Medicaid Reimbursement and Imaging Utilization by Medicaid and Children's Health Insurance Program Patients

PURPOSE

To determine if relative Medicaid-to-Medicare reimbursement rates are associated with patient imaging utilization.

METHODS

This cross-sectional study estimated the association of diagnostic imaging utilization with the state-level Medicaid-to-Medicare reimbursement ratio (MMRR) of professional payments. State-specific reimbursement ratios were computed for each imaging modality. Logistic regression was used to estimate the likelihood of having imaging, and gamma regression was used to estimate the average number of imaging studies for those with imaging. These models were performed for each gender-modality combination controlling for patient characteristics.

RESULTS

Among 48,835,765 Medicaid patients, 54.3% were women. The median MMRR was 0.82 (interquartile range [IQR]: 0.73-0.94) for CT, 0.87 (IQR: 0.76-1.01) for MR, 0.76 (IQR: 0.69-0.99) for nuclear medicine (NM), 0.85 (IQR: 0.73-1.09) for ultrasound, and 0.82 (IQR: 0.74-0.97) for radiography or fluoroscopy (XR). The probability of having imaging was 25.9% for CT, 25.9% for MR, 21.4% for ultrasound, and 31.8% for XR higher at 75th percentile of the MMRR distribution compared with the 25th percentile (P < .001). For those with imaging, the mean number of imaging studies received was associated with 5.7% fewer studies for NM at the 75th percentile compared with the 25th percentile (P < .001), although there was no difference for other modalities.

CONCLUSIONS

Medicaid payments are related to imaging utilization. A higher MMRR is associated with a substantially increased likelihood of Medicaid patients receiving CT, MR, ultrasound, and XR imaging but no difference in the amount of imaging studies received for those with imaging for these modalities.

Global insights on diversity, equity, and inclusion-perspectives and experiences from musculoskeletal radiologists of the International Skeletal Society DEI Committee

Diversity, equity, and inclusion (DEI) is important for delivering high-quality, culturally competent care and ensuring equal access to resources and opportunities in healthcare. However, the implementation of DEI has been met with unique challenges and successes across the globe. The International Skeletal Society (ISS), a multidisciplinary musculoskeletal society, made a conscious effort to promote DEI. This article discusses advantages and controversies of DEI approaches, DEI initiatives implemented by the ISS, and experiences of the ISS DEI committee members from their respective continents. The ISS DEI committee implemented educational webinars with expert panel discussions, revising membership criteria and policies for enhancing inclusiveness, advising on programing and speakers for the annual meeting, and fostering mentorship. From a global perspective, in North America, DEI has improved health outcomes and patient care, but anti-DEI legislation has posed significant challenges. Europe relies on international recruitment but faces challenges in staff retention. South America's cultural diversity necessitates culturally sensitive approaches, but discussions about DEI are scarce, and gender inequalities persist in leadership. In Africa, DEI principles are underdeveloped, with limited engagement among stakeholders. In Asia, DEI is emerging, with more women being appointed to faculty positions and leadership roles in academic societies. The implementation of meaningful DEI initiatives requires long-term institutional buy-in and the global participation and commitment of employees and institutional leaders at all levels.

Using evidence-based imaging referral guidelines to facilitate appropriate imaging: Are they all the same?

RATIONALE AND OBJECTIVES

Countries worldwide have selected, adopted, adapted, and translated evidence-based imaging referral guidelines from radiology professional bodies. This study establishes the concordance of three imaging referral guidelines from the ACR, ESR, and RCR, and examines the emergency department cervical spine imaging appropriateness rates.

MATERIALS AND METHODS

A retrospective analysis of the electronic medical records was performed between October 1st to December 31st, 2022, evaluating 452 radiography and 153 CT imaging referrals. For each case, the initial clinical diagnosis was integrated with the corresponding clinical notes for analysis. Evaluation of the appropriateness rating was dichotomised to either 'indicated' or 'not indicated' for analytical and practical purposes. The inter-rater agreement for the imaging referral guidelines was calculated using Fleiss' Kappa and Cohen's Kappa.

RESULTS

The overall appropriateness rate of X-ray cervical spine imaging referrals was 13.3 % -75.2 %, depending on the imaging referral guidelines utilised. The appropriateness rate of CT cervical spine was 90.8 %, which was an identical rate for all three of the guidelines. Fleiss' Kappa indicated the guidelines for X-ray of the cervical spine had slight agreement (κ = 0.135 (95 % CI, 0.088 to 0.183), p < 0.001) and almost perfect agreement amongst guidelines for CT cervical spine (κ = 1.000 (95 % CI, 0.909 to 1.091), p < 0.001). For pairwise comparison, ACR AC and ESR iGuide for X-ray demonstrated moderate agreement (κ = 0.765, p < 0.001); however, RCR iRefer had no level of agreement with both. For CT, there was almost perfect agreement between all the guidelines.

CONCLUSION

The guidelines demonstrated slight agreement for X-ray cervical spine and almost perfect agreement for CT cervical spine, complicating audit process and influencing audit output. Multidisciplinary buy-in positively impacts CT cervical spine appropriateness rates. Harmonising and prioritising guideline development for commonly encountered clinical scenarios is required.

Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review

OBJECTIVES

The objective of this systematic review was to offer a comprehensive overview and explore the associated outcomes from imaging referral guidelines on various key stakeholders, such as patients and radiologists.

MATERIALS AND METHODS

An electronic database search was conducted in Medline, Embase and Web of Science to retrieve citations published between 2013 and 2023. The search was constructed using medical subject headings and keywords. Only full-text articles and reviews written in English were included. The quality of the included papers was assessed using the mixed methods appraisal tool. A narrative synthesis was undertaken for the selected articles.

RESULTS

The search yielded 4384 records. Following the abstract, full-text screening, and removal of duplication, 31 studies of varying levels of quality were included in the final analysis. Imaging referral guidelines from the American College of Radiology were most commonly used. Clinical decision support systems were the most evaluated mode of intervention, either integrated or standalone. Interventions showed reduced patient radiation doses and waiting times for imaging. There was a general reduction in radiology workload and utilisation of diagnostic imaging. Low-value imaging utilisation decreased with an increase in the appropriateness of imaging referrals and ratings and cost savings. Clinical effectiveness was maintained during the intervention period without notable adverse consequences.

CONCLUSION

Using evidence-based imaging referral guidelines improves the quality of healthcare and outcomes while reducing healthcare costs. Imaging referral guidelines are one essential component of improving the value of radiology in the healthcare system.

CLINICAL RELEVANCE STATEMENT

There is a need for broader dissemination of imaging referral guidelines to healthcare providers globally in tandem with the harmonisation of the application of these guidelines to improve the overall value of radiology within the healthcare system.

KEY POINTS

The application of imaging referral guidelines has an impact and effect on patients, radiologists, and health policymakers. The adoption of imaging referral guidelines in clinical practice can impact healthcare costs and improve healthcare quality and outcomes. Implementing imaging referral guidelines contributes to the attainment of value-based radiology.

Comparing radiologists and radiographers' assessment of MRI referrals for low back pain: Insights from two imaging centres in Norway

INTRODUCTION

This study aimed to evaluate the differences in MRI referral assessments for low back pain (LBP) between radiologists and in-house trained radiographers.

METHODS

This is the second part of a retrospective study where MRI referrals for LBP conducted within two imaging centres in Norway were assessed for justification and referral quality. This study examines differences in how the recruited assessors (four radiologists and two radiographers) evaluated the referrals. The collected data was sorted in Microsoft Excel version 2021. Stata Statistical Software (Release 18) was used for data analysis. Mixed model analysis was used to compare the radiographers and radiologists' assessment of justification and referral quality. Gwet's agreement coefficient AC1/AC2 was used to determine the variation of agreements between the assessors in justification, and Gwet's AC2 between the assessor in referral quality. Kappa statistics was used to assess the interrater reliability between the two professions. A p-value of < 0.05 was considered statistically significant.

RESULTS

A total n = 300 patients' MRI referrals for LBP from the two imaging centres were collected and assessed. The two radiographers and one radiologist assessed 75 % of the referrals as justified, while the other radiologists had an overall justification rate ranging from 50 to 60 %. In general, radiographers more frequently assigned referrals as being of good and intermediate quality compared to radiologists. The study showed a statistically significant difference (p < .001) between radiographers and radiologists 'assessment of justification and quality of MRI referrals for LBP.

CONCLUSION

Radiographers assessed a higher proportion of referrals as justified and of good quality compared to radiologists, highlighting the need for targeted training to enhance radiographers' referral assessment skills.

IMPLICATIONS FOR PRACTICE

Radiographers are assigned tasks to justify imaging in radiology departments; however, targeted training is essential to ensure consistent and accurate referral assessments, ultimately enhancing patient care and optimising the use of resources.

A cross-national investigation of CT, MRI, PET, mammography, and radiation therapy resources and utilization

PURPOSE

This study aimed to analyze the domestic and international landscape of imaging diagnostics and treatments, focusing on Japan, to provide current insights for policymaking, clinical practice enhancement, and international collaboration.

METHODS

Data from 1996 to 2021 were collected from Japan's Ministry of Health, Labor and Welfare database for medical device counts of CT, MRI, PET, mammography, and radiotherapy. The National Database of Health Insurance Claims and Specific Health Checkups of Japan was utilized for examination numbers. An international comparison was made with data from 41 countries using the Organization for Economic Cooperation and Development (OECD) database.

RESULTS

The data included a total of 108,596 CT devices, 47,233 MRI devices, 2998 PET devices, 20,641 MMG devices, and 8023 RT devices during the survey period. Upon international comparison, Japan ranked first in CT and MRI devices per million people and second in examination numbers per 1000 people. The number of PET devices per million people exceeded OECD averages; however, the number of examinations per 1000 people was below the OECD average in 2020 (Japan: 4.0, OECD: 4.9). Although Japan exceeded OECD averages in mammography device counts (Japan: 33.8, OECD: 24.5 in 2020), radiotherapy device counts were similar to OECD averages (Japan: 8.3, OECD: 7.9 in 2020).

CONCLUSION

We have analyzed the utilization of equipment in the context of diagnostic imaging and radiotherapy in Japan. Since the initial survey year, all devices have shown an upward trend. However, it is essential not only to increase the number of devices and examinations but also to address the chronic shortage of radiologists and allied health professionals. Based on the insights gained from this study, understanding the actual status of diagnostic imaging and radiation therapy equipment is critical for grasping the domestic situation and may contribute to improving the quality of healthcare in Japan.

Demographic Differences in the Radiology Residency Match, 2022 to 2024

PURPOSE

Ranking preferences by residency programs in the Match could shape the diversity of selective specialties. We investigated demographic characteristics of applicants and matched residents in radiology and other specialties to identify changes in representation.

METHODS

Survey data from the National Resident Matching Program were obtained for applicants to radiology (diagnostic radiology, interventional radiology, and combined diagnostic radiology and nuclear medicine) and nonradiology programs in the 2022 to 2024 Main Residency Matches. Demographics among applicants preferring a specialty and matched residents were compared using χ2 tests.

RESULTS

Radiology had a 73.9% match rate (3,486 of 4,718 applicants). Women represented 29.0% of radiology applicants compared with 52.0% in other specialties. In radiology, only US citizenship had higher representation among matched residents compared with applicants (+4.0%, 95% confidence interval [CI], 2.8%-5.3%) (P = .001). Other demographics were not significantly different between applicants and matched residents in radiology overall. A higher representation of women was observed in matched residents compared with applicants in diagnostic radiology (+2.4%, 95% CI, 0.2%-4.6%) (P = .031) but not interventional radiology (+0.2%, 95% CI, -5.1% to 5.5%) (P = .944). In nonradiology specialties, female sex, nonheterosexual orientation, White race, US citizenship, first-generation medical graduate, and nonurban childhood were associated with higher match rates.

CONCLUSION

US citizenship but not other demographic variables was associated with higher rates of matching into radiology. Women are underrepresented among radiology applicants and have slightly higher match rates in diagnostic radiology but not interventional radiology.

Enhancing residency training by addressing anatomical knowledge gaps through structured educational programs: a need assessment study in radio diagnosis residents

INTRODUCTION

The evolving curricula in medical education have significantly reduced the time allocated for learning and clinically correlating anatomical facts. This has led to noticeable gaps in the anatomical knowledge observed by specialists while training junior residents and is being extensively documented in the literature.

MATERIALS AND METHODS

The descriptive, cross-sectional, questionnaire-based study was conducted online by sharing the questionnaire via e-mail, WhatsApp, and Telegram to institutes across all Indian states and union territories where postgraduate radiodiagnosis courses are offered.

RESULTS

The survey had a predominant response from radiodiagnosis residents belonging to the female gender (53.8%), pursuing MD (83.2%), from final year (43.4%), and from private (58%) institutes. 98% of the residents encountered challenges interpreting radiological images, 89% had no formal training in anatomy during residency, and 59% felt a lack of confidence regarding the human anatomy knowledge required for radiodiagnosis. 91.5% of the residents believe that a short human anatomy posting would significantly improve their radiological reporting skills, and 94% expressed interest in attending workshops or seminars to enhance their knowledge of human anatomy for radiological practice. A standardized curriculum for human anatomy training during the radiodiagnosis residency program is needed for the current period, as 90% of the respondents agreed.

CONCLUSION

To bolster future radiologists' diagnostic acumen, an enhanced anatomical education within radiodiagnosis residency programs in India is indeed necessary. Implementing structured training programs, incorporating interactive workshops, and leveraging advanced technological tools can significantly bridge knowledge gaps among residents.

ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment-practice recommendations by the European Society of Medical Imaging Informatics

AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust in current AI tools. Instead of technically driven development, little effort has been put into value-based development to ensure AI tools will have a clinically relevant impact on patient care. An iterative comprehensive value evaluation process covering the complete AI tool lifecycle should be part of radiology AI development. For value assessment of health technologies, health technology assessment (HTA) is an extensively used and comprehensive method. While most aspects of value covered by HTA apply to radiology AI, additional aspects, including transparency, explainability, and robustness, are unique to radiology AI and crucial in its value assessment. Additionally, value assessment should already be included early in the design stage to determine the potential impact and subsequent requirements of the AI tool. Such early assessment should be systematic, transparent, and practical to ensure all stakeholders and value aspects are considered. Hence, early value-based development by incorporating early HTA will lead to more valuable AI tools and thus facilitate translation to clinical practice. CLINICAL RELEVANCE STATEMENT: This paper advocates for the use of early value-based assessments. These assessments promote a comprehensive evaluation on how an AI tool in development can provide value in clinical practice and thus help improve the quality of these tools and the clinical process they support. KEY POINTS: Value in radiology AI should be perceived as a comprehensive term including health technology assessment domains and AI-specific domains. Incorporation of an early health technology assessment for radiology AI during development will lead to more valuable radiology AI tools. Comprehensive and transparent value assessment of radiology AI tools is essential for their widespread adoption.

Opportunity and Opportunism in Artificial Intelligence-Powered Data Extraction: A Value-Centered Approach

Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions to be made. This charge is rapidly evolving due to forces such as artificial intelligence (AI), big data (opportunistic imaging, imaging prognostication), and advanced diagnostic technologies. A new modernistic paradigm is emerging whereby radiologists, in conjunction with computer algorithms, will be tasked with extracting as much information from imaging data as possible, often without a specific clinical question being posed and independent of any stated clinical need. In addition, AI algorithms are increasingly able to predict long-term outcomes using data from seemingly normal examinations, enabling AI-assisted prognostication. As these algorithms become a standard component of radiology practice, the sheer amount of information they demand will increase the need for streamlined workflows, communication, and data management techniques. In addition, the provision of such information raises reimbursement, liability, and access issues. Guidelines will be needed to ensure that all patients have access to the benefits of this new technology and guarantee that mined data do not inadvertently create harm. In this Review, we discuss the challenges and opportunities relevant to radiologists in this changing landscape, with an emphasis on ensuring that radiologists provide high-value care.

Norwegian general practitioners' and radiologists' perspectives on the referral, justification, and unnecessary imaging-a survey

AIM

This study aimed to survey general practitioners' (GPs) and radiologists' perspectives on referrals, imaging justification, and unnecessary imaging in Norway.

MATERIALS AND METHODS

The survey covered access to imaging, responsibilities, attitudes toward justification assessment, referral process, and demographics using multiple choice questions, statements to report agreement with using the Likert scale and one open question.

RESULTS

Forty radiologists and 58 GPs attending national conferences completed a web-based survey, with a 20/15% response rate, respectively. Both radiologists (97%) and GPs (100%) considered avoiding unnecessary examinations essential to their role in the healthcare service. Still, 91% of GPs admitted that they referred to imaging they thought was not helpful, while about 60% of the radiologists agreed that unnecessary imaging was conducted in their workplace. GPs reported pressure from patients and patients having private insurance as the most common reasons for doing unnecessary examinations. In contrast, radiologists reported a lack of clinical information and the inability to discuss patient cases with the GPs as the most common reasons.

CONCLUSION

This study adds to our understanding of radiologists' and GPs' perspectives on unnecessary imaging and referrals. Better guidelines and, even more importantly, better communication between the referrer and the radiologist are needed. Addressing these issues can reduce unnecessary imaging and improve the quality and safety of care.

Reducing Delays in MRIs Under Sedation and General Anesthesia Using Quality Improvement Tools

OBJECTIVE

Develop structured, quality improvement interventions to achieve a 15%-point reduction in MRIs performed under sedation or general anesthesia (GA) delayed more than 15 min within a 6-month period.

METHODS

A prospective audit of MRIs under sedation or GA from January 2022 to June 2023 was conducted. A multidisciplinary team performed process mapping and root cause analysis for delays. Interventions were developed and implemented over four Plan, Do, Study, Act (PDSA) cycles, targeting workflow standardization, preadmission patient counseling, reinforcing adherence to scheduled scan times and written consent respectively. Delay times (compared with Kruskal-Wallis and Dunn's tests), delays more than 15 min and delays of 60 min or more at baseline and after each PDSA cycle were recorded.

RESULTS

In all, 627 MRIs under sedation or GA were analyzed, comprising 443 at baseline and 184 postimplementation. Of the 627, 556 (88.7%) scans were performed under sedation, 22 (3.5%) under monitored anesthesia care, and 49 (7.8%) under GA. At baseline, 71.6% (317 of 443) scans were delayed over 15 min and 28.2% (125 of 443) scans by 60 min or more, with a median delay of 30 min. Postimplementation, there was a 34.7%-point reduction in scans delayed more than 15 min, a 17.5%-point reduction in scans delayed by 60 min or more, and a reduction in median delay time by 15 min (P < .001).

DISCUSSION

Structured interventions significantly reduced delays in MRIs under sedation and GA, potentially improving outcomes for both patients and providers. Key factors included a diversity of perspectives in the study team, continued stakeholder engagement and structured quality improvement tools including PDSA cycles.

Reducing Intravenous Contrast Utilization for CT: A Health System-Wide Intervention With Sustained Impact

OBJECTIVE

To determine the volume of intravenous iodinated contrast media used for CT before, during, and after the global iohexol shortage over a total of 17 months at a multisite health system.

METHODS

This retrospective study included all patients who underwent CT at a large health system with 12 sites. Standardized contrast doses for 13 CT examinations were implemented May 23, 2022. Mean contrast utilization per CT encounter was compared between three periods (preintervention: January 1, 2022, to May 22, 2022; intervention: May 23, 2022, to September 11, 2022; postintervention: September 12, 2022, to June 30, 2023). Contrast doses and CT encounter data were extracted from the enterprise data warehouse. Categorical variables were compared with a χ2 test, and continuous variables were compared with a two-tailed t test. Multivariable linear regression assessed significance, with coefficients noted to determine magnitude and direction of effect.

RESULTS

Preintervention, there were 152,009 examinations (87,722 with contrast [57.7%]); during the intervention, there were 120,031 examinations (63,217 with contrast [52.7%]); and during the postintervention, there were 341,862 examinations (194,231 with contrast [56.8%]). Preintervention, mean contrast dose was 89.3 mL per examination, which decreased to 78.0 mL after standardization (Δ of -12.7%) (P < .001). This decrease continued throughout the intervention and persisted in the postintervention period (80.4 mL; Δ -10.0%, P < .001). On multivariable analysis, patient weight, sex, and performing site were all associated with variations in contrast dose. Most but not all sites (9 of 12) sustained the decreased contrast media dose in the postintervention period.

DISCUSSION

Implementing standardized contrast media dosing for commonly performed CT examinations led to a rapid decrease in contrast media utilization, which persisted over 1 year.

[Value-Based Payment System and Consideration of Radiology]

The value-based payment (VBP) system aims to improve the quality of healthcare while enhancing cost-efficiency, delivering better patient outcomes without increasing overall healthcare costs. It has been proposed as an alternative payment system to help sustain national insurance systems in response to the social and economic challenges posed by rising healthcare expenditures. Radiology plays a crucial role in disease prevention, diagnosis, and treatment; however, it is often undervalued. This review explores how radiology can be fully recognized for its inherent value in the VBP system and continue to enhance patient outcomes and societal value.

AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening

OBJECTIVE

AI adoption requires perceived value by end-users. AI-enabled opportunistic CT screening (OS) detects incidental clinically meaningful imaging risk markers on CT for potential preventative health benefit. This investigation assesses radiologists' perspectives on AI and OS.

METHODS

An online survey was distributed to 7500 practicing radiologists among ACR membership of which 4619 opened the emails. Familiarity with and views of AI applications were queried and tabulated, as well as knowledge of OS and inducements and impediments to use.

RESULTS

Respondent (n = 211) demographics: mean age 55 years, 73 % male, 91 % diagnostic radiologists, 46 % in private practice. 68 % reported using AI in practice, while 52 % were only somewhat familiar with AI. 70 % viewed AI positively though only 46 % reported AI's overall accuracy met expectations. 57 % were unfamiliar with OS, with 52 % of those familiar having a positive opinion. Patient perceptions were the most commonly reported (25 %) inducement for OS use. Provider (44 %) and patient (40 %) costs were the most common impediments. Respondents reported that osteoporosis/osteopenia (81 %), fatty liver (78 %), and atherosclerotic cardiovascular disease risk (76 %) could be well assessed by OS. Most indicated OS output requires radiologist oversight/signoff and should be included in a separate "screening" section in the Radiology report. 28 % indicated willingness to spend 1-3 min reviewing AI-generated output while 18 % would not spend any time. Society guidelines/recommendations were most likely to impact OS implementation.

DISCUSSION

Radiologists' perspectives on AI and OS provide practical insights on AI implementation. Increasing end-user familiarity with AI-enabled applications and development of society guidelines/recommendations are likely essential prerequisites for Radiology AI adoption.

Future challenges of contrast media in radiology

Contrast media (CM) were first used soon after the discovery of X-rays in 1895. Ever since, continuous technological development and pharmaceutical research has led to tremendous progress in radiology, more available techniques and contrast media, and expanded knowledge around their indications. A greater prevalence of chronic diseases, population ageing, and the rise in diagnosis and survival times among cancer patients have resulted in a growing demand for diagnostic imaging and an increased consumption of CM. This article presents the main lines of research in CM development which seek to minimise toxicity and maximise efficacy, opening up new diagnostic and therapeutic possibilities through new molecules or nanomedicine. The sector, which is continuously evolving, faces challenges such as shortages and the need for more equitable and sustainable practices.

Do Maladaptive Imaging Beliefs Predict Self-Reported Pain Interference and Physical Function in Patients With Musculoskeletal Disorders?

OBJECTIVE: To determine if maladaptive imaging beliefs correlated with, and predicted pain interference and physical function outcomes in people with musculoskeletal pain disorders. DESIGN: A prospective cohort study of patients with musculoskeletal disorders receiving outpatient physical therapy from April 2022 to August 2023. METHODS: Four questions about imaging were asked to assess maladaptive beliefs, the need to rule out serious conditions, guide treatment, determine diagnosis, and validate symptoms. Correlations with beliefs and outcomes were assessed using Kendall's tau rank and Spearman's rho correlation coefficients. Generalized linear models determined if these beliefs predicted outcomes at baseline and 6 weeks. RESULTS: The cohort included 152 participants (mean [standard deviation] age: 56.13 [15.13]; 32.2% male). Maladaptive imaging beliefs correlated positively with pain interference and negatively with physical function. The need to rule out serious conditions and validate symptoms correlated with pain interference (range: τb = 0.17, 0.20; P = .003, .0121) and physical function (range: ρ = -0.22, -0.22; P = .006, .008). All but 1 belief correlated with pain interference (range: τb = 0.19, 0.24; P<.001, .004) and physical function (range: ρ = -0.26, -0.21; P = .001, .009) at 6 weeks. Each additional belief slightly increased pain interference at 6 weeks (β = 0.01; 95% CI: 0.001, 0.03; P = .04) and lowered physical function at both baseline (β = -0.97; 95% CI: -1.66, -0.28; P = .01) and 6 weeks (β = -0.76; 95% CI: -1.37, -0.15; P = .02). CONCLUSION: Maladaptive imaging beliefs were significantly (albeit weakly) correlated with pain and physical function. Each additional maladaptive imaging belief increased pain interference at 6 weeks and lowered physical function at baseline and 6 weeks. Beliefs about the necessity of imaging to properly manage musculoskeletal disorders may influence outcomes. J Orthop Sports Phys Ther 2024;54(9):1-10. Epub 5 July 2024. doi:10.2519/jospt.2024.12625.

Which health conditions report the most spending on medical imaging? Evidence for Colombia

Medical imaging is essential for the proper diagnosis and treatment of many diseases. The literature has found that medical imaging generally accounts for a significant percentage of total healthcare spending. We analyzed a national database between 2013 and 2021, with more than 19 million patients on average, to review which health conditions account for the highest spending on medical imaging in the Colombian health system. We segmented the analysis by type of medical imaging, life cycles, health condition and sex. Our findings indicate that cardiac and mental illnesses account for the highest per capita spending on medical imaging, especially for the elderly. As a proportion of total expenditure, hypertension and tuberculosis are added, with special emphasis on the infancy-childhood life cycle.

A model combining BI-RADS® descriptors from pre-treatment B-mode breast ultrasound with clinicopathological tumor features shows promise in the prediction of residual disease after neoadjuvant chemotherapy

PURPOSE

To create a simple model using standard BI-RADS® descriptors from pre-treatment B-mode ultrasound (US) combined with clinicopathological tumor features, and to assess the potential of the model to predict the presence of residual tumor after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients.

METHOD

245 female BC patients receiving NAC between January 2017 and December 2019 were included in this retrospective study. Two breast imaging fellows independently evaluated representative B-mode tumor images from baseline US. Additional clinicopathological tumor features were retrieved. The dataset was split into 170 training and 83 validation cases. Logistic regression was used in the training set to identify independent predictors of residual disease post NAC and to create a model, whose performance was evaluated by ROC curve analysis in the validation set. The reference standard was postoperative histology to determine the absence (pathological complete response, pCR) or presence (non-pCR) of residual invasive tumor in the breast or axillary lymph nodes.

RESULTS

100 patients (40.8%) achieved pCR. Logistic regression demonstrated that tumor size, microlobulated margin, spiculated margin, the presence of calcifications, the presence of edema, HER2-positive molecular subtype, and triple-negative molecular subtype were independent predictors of residual disease. A model using these parameters demonstrated an area under the ROC curve of 0.873 in the training and 0.720 in the validation set for the prediction of residual tumor post NAC.

CONCLUSIONS

A simple model combining standard BI-RADS® descriptors from pre-treatment B-mode breast US with clinicopathological tumor features predicts the presence of residual disease after NAC.

Long-term quality improvement in radiology specialty training at a tertiary cardiothoracic centre

OBJECTIVES

This quality improvement project (QIP) aimed to foster radiology training at a regional tertiary cardiothoracic centre that had very low trainee satisfaction rankings.

METHODS

To study the problem and intervene timely, multiple methods were applied, including a local feedback survey, placement reorganisation, consultant encouragement to train as accredited supervisors, followed by departmental education portal creation and start of externally funded Visiting Fellowships and salaried Clinical Fellowships. The regional rating was monitored. The local feedback survey was distributed and analysed using descriptive statistics. Alongside the QIP, service expansion occurred.

RESULTS

The site regionally ranked 9/19 in 2 years. Local survey responses (53) showed continuous improvement; cardiothoracic subspecialty interest (+39%) and audit/academic involvement (+36%) increased. Multiple Fellowships were completed; internationally reputable placements were agreed upon. Most consultants trained as supervisors. Per increased demand, compulsory deanery posts were changed to motivation-based, and an additional salaried position was offered. Five fellows stayed in the region as subspecialist consultants. Unexpected challenges included space and workstation loss with service expansion, lack of regional surveys since 2019, and the global pandemic. Regardless, the results were positive with subspecialty interest and projected reputational effect increase. Local long-term survey provided sustainable data in detecting improvement areas.

CONCLUSIONS

Given the national radiologist shortage, this quality improvement project shows a possible positive impact of similar interventions, including workforce retention/recruitment and thus improving patient care.

ADVANCES IN KNOWLEDGE

Continuous feedback and quality improvement maintenance are valuable to enhance training quality locally and beyond.

Designing Clinical MRI for Enhanced Workflow and Value

MRI is an expensive and traditionally time-intensive modality in imaging. With the paradigm shift toward value-based healthcare, radiology departments must examine the entire MRI process cycle to identify opportunities to optimize efficiency and enhance value for patients. Digital tools such as "frictionless scheduling" prioritize patient preference and convenience, thereby delivering patient-centered care. Recent advances in conventional and deep learning-based accelerated image reconstruction methods have reduced image acquisition time to such a degree that so-called nongradient time now constitutes a major percentage of total room time. For this reason, architectural design strategies that reconfigure patient preparation processes and decrease the turnaround time between scans can substantially impact overall throughput while also improving patient comfort and privacy. Real-time informatics tools that provide an enterprise-wide overview of MRI workflow and Picture Archiving and Communication System (PACS)-integrated instant messaging can complement these efforts by offering transparent, situational data and facilitating communication between radiology team members. Finally, long-term investment in training, recruiting, and retaining a highly skilled technologist workforce is essential for building a pipeline and team of technologists committed to excellence. Here, we highlight various opportunities for optimizing MRI workflow and enhancing value by offering many of our own on-the-ground experiences and conclude by anticipating some of the future directions for process improvement and innovation in clinical MR imaging. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 1.

Cost of Low-Value Imaging Worldwide: A Systematic Review

BACKGROUND AND OBJECTIVE

Imaging with low or no benefit for the patient undermines the quality of care and amounts to vast opportunity costs. More than 3.6 billion imaging examinations are performed annually, and about 20-50% of these are of low value. This study aimed to synthesize knowledge of the costs of low-value imaging worldwide.

METHODS

This systematic review was based on the PRISMA statement. The database search was developed in Medline and further adapted to Embase-Ovid, Cochrane Library, and Scopus. Primary empirical studies assessing the costs of low-value diagnostic imaging were included if published between 2012 and March 2022. Studies designed as randomized controlled trials, non-randomized trials, cohort studies, cross-sectional studies, descriptive studies, cost analysis, cost-effectiveness analysis, and mixed-methods studies were eligible. The analysis was descriptive.

RESULTS

Of 5,567 records identified, 106 were included. Most of the studies included were conducted in the USA (n = 76), and a hospital or medical center was the most common setting (n = 82). Thirty-eight of the included studies calculated the costs of multiple imaging modalities; in studies with only one imaging modality included, conventional radiography was the most common (n = 32). Aggregated costs for low-value examinations amounts to billions of dollars per year globally. Initiatives to reduce low-value imaging may reduce costs by up to 95% without harming patients.

CONCLUSIONS

This study is the first systematic review of the cost of low-value imaging worldwide, documenting a high potential for cost reduction. Given the universal challenges with resource allocation, the large amount used for low-value imaging represents a vast opportunity cost and offers great potential to improve the quality and efficiency of care.

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

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

Prevalence of "One-Off Events" in Radiology: Implications for Radiology in Episode-Based Alternative Payment Models

OBJECTIVE

As reimbursement mechanisms become more value-based, there are questions about the applicability of these mechanisms for nonepisodic care, particularly care provided by nonpatient-facing specialists, for example, radiologists. Accordingly, this study examined the prevalence of nonepisodic care-one-off events-in diagnostic radiology.

METHODS

We conducted a multiyear (2015-2019) retrospective study of diagnostic imaging using a large commercial payer database including commercial insurance and Medicare Advantage. Using a 12-month evaluation period starting with the day of the initial imaging study/studies, we categorized imaging studies as one-off events if there were no additional studies (beyond the first day of the evaluation period) for the next 12 months in the same body region. We also evaluated an alternative, more stringent definition of a one-off event: the only imaging study during the 12-month evaluation period. We computed the percentage of one-off events overall and by body region.

RESULTS

We found that one-off events comprised 33.2%-45.8% of imaging studies depending on whether one-off events are defined as the only study in the evaluation period or imaging only on the first day of the evaluation period, respectively. This share varied widely by body region: highest for cardiac (80.9%-87.7%) and lower for chest (26.8%-35.2%). By place-of-service, the proportion was lowest for the inpatient (12.9%-29.1%) and long-term care settings (18.6%-30%).

DISCUSSION

Given the sizeable share of imaging studies categorized as one-off events, much of radiologists' workload falls outside of the framework of episodic measurement tools and value-based payment models.

Harnessing artificial intelligence in radiology to augment population health

This review article serves to highlight radiological services as a major cost driver for the healthcare sector, and the potential improvements in productivity and cost savings that can be generated by incorporating artificial intelligence (AI) into the radiology workflow, referencing Singapore healthcare as an example. More specifically, we will discuss the opportunities for AI in lowering healthcare costs and supporting transformational shifts in our care model in the following domains: predictive analytics for optimising throughput and appropriate referrals, computer vision for image enhancement (to increase scanner efficiency and decrease radiation exposure) and pattern recognition (to aid human interpretation and worklist prioritisation), natural language processing and large language models for optimising reports and text data-mining. In the context of preventive health, we will discuss how AI can support population level screening for major disease burdens through opportunistic screening and democratise expertise to increase access to radiological services in primary and community care.

What is the Value of Radiology Input During a Multidisciplinary Orthopaedic Oncology Conference?

BACKGROUND

Multidisciplinary orthopaedic oncology conferences are important in developing the treatment plan for patients with suspected orthopaedic bone and soft tissue tumors, involving physicians from several services. Past studies have shown the clinical value of these conferences; however, the impact of radiology input on the management plan and time cost for radiology to staff these conferences has not been fully studied.

QUESTIONS/PURPOSES

(1) Does radiology input at multidisciplinary conference help guide clinical management and improve clinician confidence? (2) What is the time cost of radiology input for a multidisciplinary conference?

METHODS

This prospective study was conducted from October 2020 to March 2022 at a tertiary academic center with a sarcoma center. A single data questionnaire for each patient was sent to one of three treating orthopaedic oncologists with 41, 19, and 5 years of experience after radiology discussion at a weekly multidisciplinary conference. A data questionnaire was completed by the treating orthopaedic oncologist for 48% (322 of 672) of patients, which refers to the proportion of those three oncologists' patients for which survey data were captured. A musculoskeletal radiology fellow and musculoskeletal fellowship-trained radiology attending physician provided radiology input at each multidisciplinary conference. The clinical plan (leave alone, follow-up imaging, follow-up clinically, recommend different imaging test, core needle biopsy, surgical excision or biopsy or fixation, or other) and change in clinical confidence before and after radiology input were documented. A second weekly data questionnaire was sent to the radiology fellow to estimate the time cost of radiology input for the multidisciplinary conference.

RESULTS

In 29% (93 of 322) of patients, there was a change in the clinical plan after radiology input. Biopsy was canceled in 30% (24 of 80) of patients for whom biopsy was initially planned, and surgical excision was canceled in 24% (17 of 72) of patients in whom surgical excision was initially planned. In 21% (68 of 322) of patients, there were unreported imaging findings that affected clinical management; 13% (43 of 322) of patients had a missed finding, and 8% (25 of 322) of patients had imaging findings that were interpreted incorrectly. For confidence in the final treatment plan, 78% (251 of 322) of patients had an increase in clinical confidence by their treating orthopaedic oncologist after the multidisciplinary conference. Radiology fellows and attendings spent a mean of 4.2 and 1.5 hours, respectively, reviewing and presenting at a multidisciplinary conference each week. The annual combined prorated time cost for the radiology attending and fellow was estimated at USD 24,310 based on national median salary data for attendings and internal salary data for fellows.

CONCLUSION

In a study taken at one tertiary-care oncology program, input from radiology attendings and fellows in the setting of a multidisciplinary conference helped to guide the final treatment plan, reduce procedures, and improve clinician confidence in the final treatment plan, at an annual time cost of USD 24,310.

CLINICAL RELEVANCE

Multidisciplinary orthopaedic oncology conferences can lead to changes in management plans, and the time cost to the radiologists should be budgeted for by the radiology department or parent institution.

The Impact of COVID-19 on the Utilization of Public Sector Radiological Services in the Western Cape Province of South Africa

Background Coronavirus (COVID-19) was officially declared a pandemic in March 2020 and has had a major impact on global healthcare services, including radiology. However, little is known about the full impact of COVID-19 on the utilization of diagnostic imaging in Africa's public healthcare sector. Objectives The objective of this study was to compare public sector diagnostic imaging utilization by modality for the whole Western Cape Province (WCP) of South Africa (SA), as well as its metropolitan and rural areas, in 2019 and 2020 in terms of the absolute number of investigations and investigations per 1000 people. Method We performed a retrospective analysis of Western Cape Government Department of Health and Wellness and Stats SA District Council 2021 Mid-Year Population Estimates data. All diagnostic imaging investigations performed in 2019 and 2020 were collated and stratified by imaging modality, geographic region (metropolitan/rural), and calendar year. Data are presented as the total number of investigations and investigations per 1000 people. We calculated mammography utilization for women aged 40-70 years and compared data for 2019 and 2020. Results Between 2019 and 2020, the provincial population increased by 1.9%, while total imaging investigations and investigations per 1000 people decreased by 19% (1,384,941 vs. 1,123,508, -261,433) and 20% (262/103 vs. 208/103), respectively. Total numerical decline was highest in plain radiographs (1,005,545 vs. 800,641, -204,904), accounting for more than three-quarters (78%) of the total reduction. Percentage decline was most pronounced for mammography, as utilization was almost halved (15.7/103 vs. 8.9/103, -43%), whereas computed tomography was the least impacted (17.9/103 vs. 16.7/103, -12%) with the remaining modalities decreasing between approximately one-quarter and one-fifth (magnetic resonance imaging = 26%, fluoroscopy = 25%, general radiographs = 23%, ultrasound = 16%, chest radiographs = 18%). Proportional metropolitan (-18.7%) and rural decreases (-19.3%) were similar. Conclusion COVID-19 had a substantial impact on WCP imaging services, decreasing overall radiological investigations by almost one-fifth. The greatest impact was on elective investigations, particularly mammography. Although the proportional impact was similar for the metropolitan and rural areas, COVID-19 nonetheless exacerbated existing discrepancies in imaging utilization between the geographical regions. The medium- and long-term clinical impacts of decreased imaging are still to be defined.

Practical Approaches to Advancing Health Equity in Radiology, From the AJR Special Series on DEI

Despite significant advances in health care, many patients from medically under-served populations are impacted by existing health care disparities. Radiologists are uniquely positioned to decrease health disparities and advance health equity efforts in their practices. However, literature on practical tools for advancing radiology health equity efforts applicable to a wide variety of patient populations and care settings is lacking. Therefore, this article seeks to equip radiologists with an evidence-based and practical knowledge tool kit of health equity strategies, presented in terms of four pillars of research, clinical care, education, and innovation. For each pillar, equity efforts across diverse patient populations and radiology practice settings are examined through the lens of existing barriers, current best practices, and future directions, incorporating practical examples relevant to a spectrum of patient populations. Health equity efforts provide an opportune window to transform radiology through personalized care delivery that is responsive to diverse patient needs. Guided by compassion and empathy as core principles of health equity, the four pillars provide a helpful framework to advance health equity efforts as a step toward social justice in health.

Inaugural Pan-Canadian RADGames: Results From a Successful Approach to Radiology Education for Medical Students

RATIONALE AND OBJECTIVES

A goal in radiology undergraduate medical education is to improve exposure to the field. In 2022, the Canadian Association of Radiologists' Medical Student Network hosted for the first time "RADGames," an interactive image interpretation contest for medical students across Canada. This program was aimed to spark interest in radiology and improve students' image interpretation skills through gamification with expert guidance.

MATERIALS AND METHODS

Volunteers from Radiology Interest Groups in Canadian medical schools set up a virtual event for the competition using breakout rooms and a quiz platform. Participant recruitment was through social media and advertisement by medical student associations. Participants were surveyed anonymously for feedback following the event. Data about previous exposure to and knowledge of radiology, and an evaluation of the event including self-perceived impact on participants' understanding of the field were collected.

RESULTS

Eighty seven medical students from 15 of Canada's 17 medical schools competed against one another virtually. Forty seven (54%) responded to the post-event evaluation survey. All responses about the event itself were favourable. Respondents overwhelmingly indicated that RADGames increased their interest in radiology (38, 81%), their understanding of the work of a radiologist (31, 66%) and their knowledge about medical imaging (46, 98%), and improved their confidence in basic imaging interpretation (36, 77%).

CONCLUSION

The Canadian Association of Radiologists' Medical Student Network hosted Canada's first national image interpretation competition for medical students, RADGames. Feedback was overwhelmingly positive, with perceived benefits to participants on their understanding of and interest in radiology.

Patient communication in radiology: Moving up the agenda

Optimised communication between patients and the imaging team is an essential component of providing patient-centred and value-based care. Communication with patients can be challenging in the setting of busy radiology departments where there is a focus on efficient and accurate diagnosis. Traditionally, most results are provided directly to the referring clinician. However, the importance of direct communication between the radiologist and patient is increasingly relevant, particularly in the context of face-to-face settings such as rapid assessment and ultrasound clinics, and interventional radiology, as well as in written form through electronic patient portals. Artificial intelligence tools may improve efficiency, allowing more time for radiologists to communicate directly with patients. There is a need for dedicated training in communication skills for imaging professionals. This review considers the topic of patient communication in the setting of imaging departments and discusses the ways that communication skills may be improved through training and through harnessing emerging digital technologies that may enhance the quality of communication.

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

We validate a deep learning model predicting comorbidities from frontal chest radiographs (CXRs) in patients with coronavirus disease 2019 (COVID-19) and compare the model's performance with hierarchical condition category (HCC) and mortality outcomes in COVID-19. The model was trained and tested on 14,121 ambulatory frontal CXRs from 2010 to 2019 at a single institution, modeling select comorbidities using the value-based Medicare Advantage HCC Risk Adjustment Model. Sex, age, HCC codes, and risk adjustment factor (RAF) score were used. The model was validated on frontal CXRs from 413 ambulatory patients with COVID-19 (internal cohort) and on initial frontal CXRs from 487 COVID-19 hospitalized patients (external cohort). The discriminatory ability of the model was assessed using receiver operating characteristic (ROC) curves compared to the HCC data from electronic health records, and predicted age and RAF score were compared using correlation coefficient and absolute mean error. The model predictions were used as covariables in logistic regression models to evaluate the prediction of mortality in the external cohort. Predicted comorbidities from frontal CXRs, including diabetes with chronic complications, obesity, congestive heart failure, arrhythmias, vascular disease, and chronic obstructive pulmonary disease, had a total area under ROC curve (AUC) of 0.85 (95% CI: 0.85-0.86). The ROC AUC of predicted mortality for the model was 0.84 (95% CI,0.79-0.88) for the combined cohorts. This model using only frontal CXRs predicted select comorbidities and RAF score in both internal ambulatory and external hospitalized COVID-19 cohorts and was discriminatory of mortality, supporting its potential use in clinical decision making.

Association of regulatory body actions and subsequent media coverage with use of services in a fee-for-service system: a longitudinal cohort study of CT scanning in Australia

OBJECTIVE

The professional service review (PSR) is an Australian Government agency aiming to reduce inappropriate practices funded via Medicare, Australia's public insurer. Our objective was to examine changes in CT following the 2008-2009 PSR annual report, which noted excessive CT use.

DESIGN

Interrupted time series analysis examined trends in CT use following the 2008-2009 PSR report, estimating both change in the immediate rate of CT and the slope of the trend in usage postintervention.

SETTING

Medicare-funded imaging (most out-of-hospital imaging) in Australia.

PARTICIPANTS

Patients receiving Medicare-funded CT and other imaging.

INTERVENTION

The 2008-2009 PSR report highlighted concerns regarding excessive CT use. Two providers were financially penalised for CT overuse with these cases detailed in the PSR report and highlighted in an associated Report to the Professions, distributed to 50 000 providers. Media articles on radiation risks followed.

OUTCOMES

Quarterly rates of out-of-hospital CT, MRI (as a comparator), and all other Medicare-funded diagnostic imaging examinations 2001-2019.

RESULTS

CT scanning increased from 4663.5 per 100 000 person-years in 2001 to 14 506 in 2019 (211% increase), with substantial variation by type and anatomical region. The 2008-2009 PSR report was followed by an immediate reduction in CT scanning of 237.7 CTs per 100 000 people per quarter (95% CI -333.4 to -141.9) though growth in use soon continued at the preintervention rate. The degree of change in utilisation following the report differed between states/territories and by scan type, both in terms of the immediate change and the slope. For other diagnostic imaging modalities, there was an increase in the slope, while for MRI there was no change in either parameter.

CONCLUSION

Actions consisting of financial disincentives for service overtesting and provider/public education components may limit excessive use of diagnostic imaging in fee-for-service systems, however, effects observed here were only short lived.

Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review

BACKGROUND

Inappropriate and wasteful use of health care resources is a common problem, constituting 10-34% of health services spending in the western world. Even though diagnostic imaging is vital for identifying correct diagnoses and administrating the right treatment, low-value imaging-in which the diagnostic test confers little to no clinical benefit-is common and contributes to inappropriate and wasteful use of health care resources. There is a lack of knowledge on the types and extent of low-value imaging. Accordingly, the objective of this study was to identify, characterize, and quantify the extent of low-value diagnostic imaging examinations for adults and children.

METHODS

A scoping review of the published literature was performed. Medline-Ovid, Embase-Ovid, Scopus, and Cochrane Library were searched for studies published from 2010 to September 2020. The search strategy was built from medical subject headings (Mesh) for Diagnostic imaging/Radiology OR Health service misuse/Medical overuse OR Procedures and Techniques Utilization/Facilities and Services Utilization. Articles in English, German, Dutch, Swedish, Danish, or Norwegian were included.

RESULTS

A total of 39,986 records were identified and, of these, 370 studies were included in the final synthesis. Eighty-four low-value imaging examinations were identified. Imaging of atraumatic pain, routine imaging in minor head injury, trauma, thrombosis, urolithiasis, after thoracic interventions, fracture follow-up and cancer staging/follow-up were the most frequently identified low-value imaging examinations. The proportion of low-value imaging varied between 2 and 100% inappropriate or unnecessary examinations.

CONCLUSIONS

A comprehensive list of identified low-value radiological examinations for both adults and children are presented. Future research should focus on reasons for low-value imaging utilization and interventions to reduce the use of low-value imaging internationally.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO: CRD42020208072.

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography

PURPOSE

The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence measured by a multitask convolutional neural network (CNN) deep learning model using frontal chest radiographs (CXRs) and the prevalence reflected by administrative hierarchical condition category codes in two cohorts of patients with coronavirus disease 2019 (COVID-19).

METHODS

A CNN model, previously published, was trained to predict atherosclerotic disease from ambulatory frontal CXRs. The model was then validated on two cohorts of patients with COVID-19: 814 ambulatory patients from a suburban location (presenting from March 14, 2020, to October 24, 2020, the internal ambulatory cohort) and 485 hospitalized patients from an inner-city location (hospitalized from March 14, 2020, to August 12, 2020, the external hospitalized cohort). The CNN model predictions were validated against electronic health record administrative codes in both cohorts and assessed using the area under the receiver operating characteristic curve (AUC). The CXRs from the ambulatory cohort were also reviewed by two board-certified radiologists and compared with the CNN-predicted values for the same cohort to produce a receiver operating characteristic curve and the AUC. The atherosclerosis diagnosis discrepancy, Δ_vasc, referring to the difference between the predicted value and presence or absence of the vascular disease HCC categorical code, was calculated. Linear regression was performed to determine the association of Δ_vasc with the covariates of age, sex, race/ethnicity, language preference, and social deprivation index. Logistic regression was used to look for an association between the presence of any hierarchical condition category codes with Δ_vasc and other covariates.

RESULTS

The CNN prediction for vascular disease from frontal CXRs in the ambulatory cohort had an AUC of 0.85 (95% confidence interval, 0.82-0.89) and in the hospitalized cohort had an AUC of 0.69 (95% confidence interval, 0.64-0.75) against the electronic health record data. In the ambulatory cohort, the consensus radiologists' reading had an AUC of 0.89 (95% confidence interval, 0.86-0.92) relative to the CNN. Multivariate linear regression of Δ_vasc in the ambulatory cohort demonstrated significant negative associations with non-English-language preference (β = -0.083, P < .05) and Black or Hispanic race/ethnicity (β = -0.048, P < .05) and positive associations with age (β = 0.005, P < .001) and sex (β = 0.044, P < .05). For the hospitalized cohort, age was also significant (β = 0.003, P < .01), as was social deprivation index (β = 0.002, P < .05). The Δ_vasc variable (odds ratio [OR], 0.34), Black or Hispanic race/ethnicity (OR, 1.58), non-English-language preference (OR, 1.74), and site (OR, 0.22) were independent predictors of having one or more hierarchical condition category codes (P < .01 for all) in the combined patient cohort.

CONCLUSIONS

A CNN model was predictive of aortic atherosclerosis in two cohorts (one ambulatory and one hospitalized) with COVID-19. The discrepancy between the CNN model and the administrative code, Δ_vasc, was associated with language preference in the ambulatory cohort; in the hospitalized cohort, this discrepancy was associated with social deprivation index. The absence of administrative code(s) was associated with Δ_vasc in the combined cohorts, suggesting that Δ_vasc is an independent predictor of health disparities. This may suggest that biomarkers extracted from routine imaging studies and compared with electronic health record data could play a role in enhancing value-based health care for traditionally underserved or disadvantaged patients for whom barriers to care exist.

Emergency radiology training in Germany: current status and future directions

BACKGROUND

Emergency radiology (ER) is an important part of radiology. But what exactly is ER? How can the required competencies be acquired in a good and feasible way? Who should be in charge of this?

OBJECTIVES

Discussion of ER contents and suggestions for the improvement of the acquisition of respective competencies during radiology training.

MATERIALS AND METHODS

General literature review, in particular the current German blueprint for medical specialist training regulations (Weiterbildungsordnung, WBO 2020), publications by the German Radiological Society (DRG), the European Society of Radiology (ESR), the European Society of Emergency Radiology (ESER) and the American Society of Emergency Radiology (ASER).

RESULTS AND CONCLUSIONS

As proof of competence in ER in Germany, confirmation from the authorised residency training supervisor as to whether there is 'competence to act' either 'independently' or 'under supervision' in the case of 'radiology in an emergency situation …, e.g. in the case of polytrauma, stroke, intensive care patients' is sufficient. The ESER refers to all acute emergencies with clinical constellations requiring an immediate diagnosis 24/7 and, if necessary, acute therapy. The ESER and ASER offer, among other things, practical fellowships in specialised institutions, while the ESER complements this with a European Diploma in Emergency Radiology (EDER). On a national level, it would be advisable to use existing definitions, offers and concepts, from the ESR, ESER and ASER. Specialised institutions could support the acquisition of ER competencies with fellowships. For Germany, it seems sensible to set up a separate working group (Arbeitsgemeinschaft, AG) on ER within the DRG in order to drive the corresponding further ER development.

Content-Based Medical Image Retrieval and Intelligent Interactive Visual Browser for Medical Education, Research and Care

Medical imaging is essential nowadays throughout medical education, research, and care. Accordingly, international efforts have been made to set large-scale image repositories for these purposes. Yet, to date, browsing of large-scale medical image repositories has been troublesome, time-consuming, and generally limited by text search engines. A paradigm shift, by means of a query-by-example search engine, would alleviate these constraints and beneficially impact several practical demands throughout the medical field. The current project aims to address this gap in medical imaging consumption by developing a content-based image retrieval (CBIR) system, which combines two image processing architectures based on deep learning. Furthermore, a first-of-its-kind intelligent visual browser was designed that interactively displays a set of imaging examinations with similar visual content on a similarity map, making it possible to search for and efficiently navigate through a large-scale medical imaging repository, even if it has been set with incomplete and curated metadata. Users may, likewise, provide text keywords, in which case the system performs a content- and metadata-based search. The system was fashioned with an anonymizer service and designed to be fully interoperable according to international standards, to stimulate its integration within electronic healthcare systems and its adoption for medical education, research and care. Professionals of the healthcare sector, by means of a self-administered questionnaire, underscored that this CBIR system and intelligent interactive visual browser would be highly useful for these purposes. Further studies are warranted to complete a comprehensive assessment of the performance of the system through case description and protocolized evaluations by medical imaging specialists.