The Diagnostic Cockpit of the Future.

The integration of digital data from imaging, pathology, genomics, and other fields creates an opportunity to produce information-rich diagnoses, especially for complex patients. Technology exists today to create a "diagnostic cockpit" that can accept inputs from multiple sources, analyze them using artificial intelligence and other quantitative tools, and produce a precision diagnosis. Although barriers to creation and dissemination of such a cockpit exist, the metaphor provides a glimpse into the diagnostic processes of the future.

Think Like an MBA: Development, Implementation, and Evaluation of an Academic Radiology Business Series (ARBS) for Radiology Trainees.

RATIONALE AND OBJECTIVES: To address existing educational gaps in the business of radiology and medicine, we developed, implemented, and evaluated an Academic Radiology Business Series (ARBS) as part of a longitudinal noninterpretive skills curriculum in our radiology residency program. MATERIALS AND METHODS: Mixed lecture- and discussion-based sessions were prepared and taught by content experts and radiologist-leaders at our institution in the style of a typical MBA curriculum, drawing on five core pillars: strategy, management, operations, finance, and health policy and economics. The series concluded with an interactive discussion of a Harvard Business School case study. To study the effectiveness of the curriculum, Wilcoxon rank-sum test was used to compare survey results before and after the curriculum. RESULTS: Nearly 80% of the pre-curriculum survey respondents were not satisfied with the current training offered in the business of medicine. Although 94% of trainees were interested in pursuing leadership positions in healthcare, they have self-reported knowledge gaps in the fundamentals of the business of medicine. There were significant improvements in satisfaction with their training in the business of medicine and perceived improvements in knowledge of important concepts in the business of medicine after participating in the curriculum (p < 0.001). CONCLUSION: Radiology trainees have strong interest in the business of radiology and appreciate its importance yet feel inadequately prepared during training. Intentional training incorporated into residency education in the form of an innovative educational initiative that brings radiology trainees together and utilizes an institution's own leaders to teach is feasible and effective.

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual and cognitive processes underlying medical image interpretation is vital for increasing diagnosticians' accuracy and performance, improving patient outcomes, and reducing diagnostician burnout. Medical image perception remains substantially understudied. In September 2019, the National Cancer Institute convened a multidisciplinary panel of radiologists and pathologists together with researchers working in medical image perception and adjacent fields of cognition and perception for the "Cognition and Medical Image Perception Think Tank." The Think Tank's key objectives were to identify critical unsolved problems related to visual perception in pathology and radiology from the perspective of diagnosticians, discuss how these clinically relevant questions could be addressed through cognitive and perception research, identify barriers and solutions for transdisciplinary collaborations, define ways to elevate the profile of cognition and perception research within the medical image community, determine the greatest needs to advance medical image perception, and outline future goals and strategies to evaluate progress. The Think Tank emphasized diagnosticians' perspectives as the crucial starting point for medical image perception research, with diagnosticians describing their interpretation process and identifying perceptual and cognitive problems that arise. This article reports the deliberations of the Think Tank participants to address these objectives and highlight opportunities to expand research on medical image perception.

Facial injury patterns in victims of intimate partner violence.

PURPOSE: To evaluate the imaging findings of facial injuries in patients reporting intimate partner violence (IPV). METHODS: A retrospective review of radiology studies performed for 668 patients reporting IPV to our institution's violence prevention support program identified 96 patients with 152 facial injuries. Demographics, imaging findings, and clinical data obtained from a review of the electronic medical records (EMR) were analyzed to categorize injury patterns. RESULTS: The study cohort consisted of 93 women and 3 men with a mean age of 35 years (range 19-76; median 32). At the time of presentation, 57 (59.3%) patients reported IPV as the mechanism of injury. The most frequent site of injury was the midface, seen in 65 (67.7%) patients. The most common fracture sites were the nasal bones (45/152, 29.6%), followed by the mandible (17/152, 11.1%), and orbits (16/152, 10.5%). Left-sided injuries were more common (90/152; 59.2%). A vast majority of fractures (94.5%) showed minimal or no displacement. Over one-third of injuries (60/152, 39.4%) demonstrated only soft tissue swelling or hematoma without fracture. Associated injuries were seen most frequently in the upper extremity, occurring synchronously in 11 (11.4%) patients, and preceding the index facial injury in 20 (21%) patients. CONCLUSION: /advances in knowledge. The midface was the most frequent location of injury in victims of intimate partner violence, and the nasal bone was the most commonly fractured facial bone. Recognizing these injury patterns can help radiologists suspect IPV and prompt them to discuss the possibility of IPV with the clinical providers.

Upper extremity fractures due to intimate partner violence versus accidental causes.

PURPOSE: The purpose of this study is to evaluate the prevalence of intimate partner violence (IPV)-related upper extremity fractures (UEF) in women presenting to US emergency departments (ED) and compare their anatomic location to those due to accidental falls or strikes. METHODS: An Institutional Review Board exempt, retrospective review of prospectively collected data was performed using the National Electronic Injury Surveillance System's All Injury Program data from 2005 through 2015 for all UEF sustained in women 15 to 54 years old. Injuries based on reported IPV versus accidental falls or strikes were analyzed accounting for the weighted, stratified nature of the data. RESULTS: IPV-related UEF represented 1.7% of all UEF and 27.2% of all IPV fractures. The finger was the most common fracture site in IPV (34.3%) and accidental striking (53.3%) but accounted for only 10% of fall-related UEF. There was a higher proportion of shoulder fractures in IPV (9.2%) compared to accidental falls (7.4%) or strikes (2.9%). The odds of a finger fracture were 4.32 times greater in IPV than falling and of a shoulder fracture were 3.65 greater in IPV than accidental striking (p < 0.0001). CONCLUSIONS: While the finger is the most common site for IPV UEF, it is also the most common location for accidental striking. A lower proportion of finger fractures in fall and of shoulder/forearm fractures in accidental striking should prompt the radiologist to discuss the possibility of IPV with the ED physician in any woman presenting with a finger fracture due to fall and a shoulder/forearm fracture with a vague history of accidental striking.

Recognizing Isolated Ulnar Fractures as Potential Markers for Intimate Partner Violence.

PURPOSE: This study aimed to assess the incidence of intimate partner violence (IPV) in women with isolated ulnar fractures and compare the injury characteristics in victims of IPV with those who sustained the same fractures due to other causes. METHODS: Electronic health records from three level I trauma centers were queried to identify a cohort of women, aged 18 to 50, sustaining isolated ulnar fractures from 2005 to 2019. Radiographs were reviewed for fracture location, comminution, and displacement. Demographic data, number of visits to the emergency department, and documentation of IPV were also collected. Patients were stratified into four groups based on clinical chart review: confirmed IPV, possible IPV, not suspected for IPV, and not IPV. Historical imaging analysis for IPV prediction was also performed. RESULTS: There were 62 patients, with a mean age of 31 years (IPV: 12 confirmed, 8 possible, 8 suspected not IPV, 34 confirmed not IPV). Comparative analysis with and without suspected cases demonstrated IPV to be associated with nondisplaced fractures (95% versus 43%; P < .001 and 91% versus 44%; P = .012). Confirmed cases were also associated with homelessness (46% versus 0%; P < .001), and the number of documented emergency department visits (median 7.0; interquartile range 2.0-12.8 versus 1.0; interquartile range 1.0-2.0; P < .001). Formal documentation of IPV evaluation was completed in only 14 of 62 (22.5%) patients. Historical imaging analysis predicted IPV in 8 of 12 (75%) confirmed IPV cases. CONCLUSION: Up to one-third of adult women sustaining isolated ulnar fractures may be the victims of IPV. Lack of displacement on radiographs, frequent emergency department visits, and homelessness would favor IPV etiology.

Upper extremity injuries in the victims of intimate partner violence.

OBJECTIVES: To recognize most common patterns of upper extremity (UE) injuries in victims of Intimate Partner Violence (IPV). METHODS: Radiological review of 308 patients who reported physical IPV at our institution from January 2013 to June 2018, identified 55 patients with 88 unique UE injuries. Demographic data and injury patterns and associations were collected from the electronic medical records. RESULTS: The cohort included 49 females and 6 males (age 19-63, mean 38). At the time of injury, IPV was reported in 15/88 (17%) and IPV screening was documented for 22/88 (25%) injuries. There were 46 fractures, 8 dislocations or subluxations, and 34 isolated soft tissue injuries, most commonly involving the hand (56/88). Fractures most commonly involved the fingers (21/46, 46%) and the 5th digit (8/27, 30%). Medial UE fractures (5th digit, 4th digit) constituted 44% of hand and finger fractures (12/27) and 26% of all fractures (12/46). Comminuted and displaced fractures were rare (8/46, 17%). Head and face injuries were the most common concomitant injuries (9/22, 41%) and subsequent injuries (21/61, 35%). Of 12 patients with recurrent UE injuries, 6 had recurrent injuries of the same hand. Five of 6 non-acute fractures (83%) were of the hand. CONCLUSIONS: Hand and finger injuries are the most common UE injuries in patients with IPV, with finger being the most common site and medial hand the most common region of fracture. Repeated injuries involving the same site and a combination of medial hand and head or face injuries could indicate IPV. KEY POINTS: • Upper extremity injuries in victims of intimate partner violence are most commonly seen in the hand and fingers. • Fingers are the most common site of fracture and the medial hand is the most common region of fracture in the upper extremity in victims of intimate partner violence. • In intimate partner violence victims with upper extremity injuries, concomitant injuries and subsequent injuries are most commonly seen in the head and neck region.

Exacerbation of Physical Intimate Partner Violence during COVID-19 Pandemic.

Background Intimate partner violence (IPV) is a global social and public health problem, but published literature regarding the exacerbation of physical IPV during the coronavirus disease 2019 (COVID-19) pandemic is lacking. Purpose To assess the incidence, patterns, and severity of injuries in IPV victims during the COVID-19 pandemic in 2020 compared with the prior 3 years. Materials and Methods The demographics, clinical presentation, injuries, and radiologic findings of patients reporting physical abuse arising from IPV during the statewide COVID-19 pandemic between March 11 and May 3, 2020, were compared with data from the same period for the past 3 years. Pearson χ2 and Fisher exact tests were used for analysis. Results A total of 26 victims of physical IPV from 2020 (mean age, 37 years ± 13 [standard deviation]; 25 women) were evaluated and compared with 42 victims of physical IPV (mean age, 41 years ± 15; 40 women) from 2017 to 2019. Although the overall number of patients who reported IPV decreased during the pandemic, the incidence of physical IPV was 1.8 times greater (95% CI: 1.1, 3.0; P = .01). The total number of deep injuries was 28 during 2020 versus 16 from 2017 to 2019; the number of deep injuries per victim was 1.1 during 2020 compared with 0.4 from 2017 to 2019 (P < .001). The incidence of high-risk abuse defined by mechanism was two times greater in 2020 (95% CI: 1.2, 4.7; P = .01). Patients who experienced IPV during the COVID-19 pandemic were more likely to be White; 17 (65%) victims in 2020 were White compared with 11 (26%) in the prior years (P = .007). Conclusion There was a higher incidence and severity of physical intimate partner violence (IPV) during the coronavirus disease 2019 (COVID-19) pandemic compared with the prior 3 years. These results suggest that victims of IPV delayed reaching out to health care services until the late stages of the abuse cycle during the COVID-19 pandemic. © RSNA, 2020.

Intimate Partner Violence: A Primer for Radiologists to Make the "Invisible" Visible.

Intimate partner violence (IPV) is the physical, sexual, or emotional violence between current or former partners. It is a major public health issue that affects nearly one out of four women. Nonetheless, IPV is greatly underdiagnosed. Imaging has played a significant role in identifying cases of nonaccidental trauma in children, and similarly, it has the potential to enable the identification of injuries resulting from IPV. Radiologists have early access to the radiologic history of such victims and may be the first to diagnose IPV on the basis of the distribution and imaging appearance of the patient's currrent and past injuries. Radiologists must be familiar with the imaging findings that are suggestive of injuries resulting from IPV. Special attention should be given to cases in which there are multiple visits for injury care; coexistent fractures at different stages of healing, which may help differentiate injuries related to IPV from those caused by a stranger; and injuries in defensive locations and target areas such as the face and upper extremities. The authors provide an overview of current methods for diagnosing IPV and define the role of the radiologist in cases of IPV. They also describe a successful diagnostic imaging-based approach for helping to identify IPV, with a specific focus on the associated imaging findings and mechanisms of injuries. In addition, current needs and future perspectives for improving the diagnosis of this hidden epidemic are identified. This information is intended to raise awareness among radiologists, with the ultimate goal of improving the diagnosis of IPV and thus reducing the devastating effects on victims' lives. ©RSNA, 2020.

A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.

Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease detection and classification, image optimization, radiation reduction, and workflow enhancement. Although advances in foundational research are occurring rapidly, translation to routine clinical practice has been slower. In August 2018, the National Institutes of Health assembled multiple relevant stakeholders at a public meeting to discuss the current state of knowledge, infrastructure gaps, and challenges to wider implementation. The conclusions of that meeting are summarized in two publications that identify and prioritize initiatives to accelerate foundational and translational research in AI for medical imaging. This publication summarizes key priorities for translational research developed at the workshop including: (1) creating structured AI use cases, defining and highlighting clinical challenges potentially solvable by AI; (2) establishing methods to encourage data sharing for training and testing AI algorithms to promote generalizability to widespread clinical practice and mitigate unintended bias; (3) establishing tools for validation and performance monitoring of AI algorithms to facilitate regulatory approval; and (4) developing standards and common data elements for seamless integration of AI tools into existing clinical workflows. An important goal of the resulting road map is to grow an ecosystem, facilitated by professional societies, industry, and government agencies, that will allow robust collaborations between practicing clinicians and AI researchers to advance foundational and translational research relevant to medical imaging.

Cancer Imaging Training in the 21st Century: An Overview of Where We Are, and Where We Need To Be.

Advances in cancer care over the past decade have significantly changed treatment algorithms and life expectancies. Time from cancer diagnosis to death is rapidly increasing, as new, targeted therapies are developed, many prolonging life even in advanced disease. Tumors are now genotyped at diagnosis, allowing personalization of treatment. The FDA is continually approving new drugs that quickly become the standard of care for common tumors; the impact of these drugs and their side effects is monitored with imaging, and accurate interpretation of imaging studies has become essential as these patients live longer. Oncologists rely on radiologists to understand new patterns of treatment response and novel drug side effects that are associated with new drug classes, increasing the knowledge required for accurate image interpretation. These factors have led to the demand for dedicated cancer imaging training for radiologists, who can integrate findings throughout the body on various imaging modalities. In addition, we need to expand radiology's focus beyond diagnosis, staging, and restaging of tumors, and include education about the influence of genomics on tumor characterization and guidance for cancer care, the spectrum of treatment response, and the imaging characteristics of adverse events associated with various therapies. The time has come, therefore, to formally incorporate, as part of radiology residency, a distinct cancer imaging curriculum that is standardized, tested, and will allow the new generation of radiologists to effectively communicate with and assist their oncologic colleagues and optimally contribute to the care of patients with cancer.

Use of Public Data to Target Variation in Providers' Use of CT and MR Imaging among Medicare Beneficiaries.

PURPOSE: To examine geographic variation in providers' use of diagnostic imaging to identify potential targets for quality improvement initiatives after adjusting for imaging referral across hospital referral regions (HRRs). MATERIALS AND METHODS: Using two Centers for Medicare and Medicaid Services datasets, the authors included all claims for beneficiaries enrolled in the Medicare fee-for-service program. Diagnostic imaging procedures were selected on the basis of common procedure coding system codes, excluding interventional procedures. The authors assessed providers' use of imaging for each HRR after creating an imaging referral index (IRI) to adjust for imaging referral rates across HRRs. Relative risk statistics were used to assess geographic variation. The authors calculated two imaging measures for computed tomography (CT) and magnetic resonance (MR) imaging: IRI-adjusted utilization intensity (number of examinations per 1000 beneficiaries) and total payments (in dollars, after deducting deductibles and coinsurances) in each HRR. High-impact regions were defined as those in the highest deciles for both imaging intensity and payment. RESULTS: For 34 million Medicare beneficiaries, 124 million unique diagnostic imaging services (totaling $5.6 billion) were performed in 2012. The average adjusted CT utilization intensity ranged from 330.4 studies per 1000 beneficiaries in the lowest decile to 684.0 in the highest decile (relative risk, 2.1); adjusted MR imaging utilization intensity varied from 105.7 studies per 1000 beneficiaries to 256.3 (relative risk, 2.4). The most common CT and MR imaging procedures were head CT and lumbar spine MR imaging. CONCLUSION: With use of public data, the authors identified a wide variation in imaging use across the United States. Potential targets for future imaging quality improvement initiatives include head CT and lumbar spine MR imaging.

Radiology utilization in the emergency department: trends of the past 2 decades.

OBJECTIVE: The objective of our study was to assess radiology utilization trends for emergency department (ED) patients from 1993 through 2012. MATERIALS AND METHODS: For this retrospective study, we reviewed radiology utilization at a 793-bed quaternary care academic medical center from January 1, 1993, through December 31, 2012, during which time the number of ED patient visits increased from approximately 48,000 to 61,000, and determined the number of imaging studies by modality (radiography, sonography, CT, MRI, other) and associated relative value units (RVUs). We used linear regression to assess for trends in the number of imaging RVUs and imaging accession numbers, our primary and secondary outcomes, respectively. RESULTS: The total RVUs attributable to ED imaging per 1000 ED visits increased 208% from 1993 to 2007 (p < 0.0001) and then decreased 24.7% by 2012 (p = 0.0019). The total number of imaging accession numbers per 1000 ED visits increased 47.8% from 1993 until 2005 (p = 0.0003) and then decreased 26.9% by 2012 (p < 0.0001). CT RVUs per 1000 ED visits increased 493% until 2007 (p < 0.0001) and then decreased 33.4% (p < 0.0001), and MRI RVUs increased 2475% until 2008 (p < 0.0001) and then decreased 20.6% (p < 0.0032). Sonography RVUs increased 75.7% over the study period (p < 0.0001), whereas radiography RVUs decreased 28.1% (p = 0.0009). CONCLUSION: After a period of substantial increase from 1993 to 2007, volume-adjusted ED imaging RVUs declined from 2007 through 2012, largely because of the decreasing use of CT and MRI. Additional studies are needed to determine the causes of this decline, which may include quality improvement activities, advocacy for appropriateness by leadership, concerns regarding radiation exposure and cost, and health information technology interventions.