Caught in the Act: A Detailed Analysis of Cardiac Event Monitoring in a Cohort of Pediatric and ACHD Patients.

BACKGROUND: Event monitors are being increasingly used in pediatric and adult congenital heart disease (ACHD) patients for arrhythmia evaluation. Data on their diagnostic yield are limited. OBJECTIVES: To evaluate the diagnostic yield of event monitors, patient characteristics associated with critical events, and clinical response to events. METHODS: We retrospectively assessed event monitors prescribed to patients at our institution's Heart Center from 2017 to 2020. Thirty-day event monitor tracings were reviewed by an electrophysiologist (EP) to identify critical events defined as supraventricular tachycardia (SVT, re-entrant, atrial tachycardia, atrial flutter, and atrial fibrillation), ventricular tachycardia (VT), atrioventricular block, and pauses greater than 3 s. Patient characteristics and treatment data were collected. Characteristics associated with events were assessed using multivariable logistic regression. Trends in monitor prescription over time, diagnostic yield, and clinical response to events were analyzed. RESULTS: 204/2330 (8.8%) event monitors had EP-confirmed critical events. Critical events included SVT (51.5%), VT (38.5%), atrioventricular block (4%), and pauses (6%). 129/198 (65%) patients with critical events underwent treatment. Event monitoring usage increased by 52% between 2017 and 2020 (p < 0.0001). Complex CHD (OR 2.1, 95% CI 1.3-3.4, p = 0.004), cardiomyopathy (OR 2.9, 95% CI 1.5-4.8, p < 0.001), and EP-ordered monitors (OR 1.6, 95% CI 1.2-2.1, p = 0.001) were more highly associated with critical events. CONCLUSION: Event monitor use is common, and critical events were captured in 8.8% of patients. The majority of patients with critical events underwent treatment. Factors associated with critical events include EPs as ordering providers, complex CHD, and cardiomyopathy.

Seven Challenges in Radiology Practice: From Declining Reimbursement to Inadequate Labor Force: Summary of the 2023 ACR Intersociety Meeting.

This white paper discusses the seven most important challenges facing radiology today: declining reimbursement, corporatization and consolidation, inadequate labor force, imaging appropriateness, burnout, turf wars with nonphysicians, and workflow efficiency. Participants in the Intersociety Summer Conference-2023 focused their effort on identifying potential solutions given how critical these topics are to the sustainability of the profession.

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. 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 all patients have access to the benefits of this new technology and guarantee mined data do not inadvertently create harm. In this article, we discuss challenges and opportunities relevant to radiologists in this changing landscape, with an emphasis on ensuring that radiologists provide high-value care.

Optimizing Triage: Assessing Shock Index, Pediatric Age-Adjusted as an Adjunct to Improve Emergency Severity Index Mistriage.

OBJECTIVE: We investigated the diagnostic value of shock index, pediatric age-adjusted (SIPA) in predicting Emergency Severity Index level 3 patients' outcomes. Secondary objectives included exploring the impact of fever and participant variables on SIPA's predictive ability. METHODS: A retrospective chart review identified children aged 1 to 15 years triaged as a level 3 in the emergency department between January 2018 and December 2021. Shock index, pediatric age-adjusted thresholds based on age, 1 to 6 years (>1.2), 7 to 12 years (>1.0), and 13 to 17 years (>0.9), were used. We assessed elevated SIPA and SIPA corrected for fever to evaluate associations with outcomes and interventions. RESULTS: Our findings, involving 192 patients, revealed that elevated SIPA demonstrated enhanced discrimination relative to nonelevated SIPA. Patients with elevated SIPA had more average interventions: 1.14 versus 0.74, P < 0.016; average interventions using SIPA corrected for fever: 1.14 versus 0.77, P < 0.006; average interventions controlling for race and sex: 1.15 versus 0.71, P < 0.001; hospital admission: 64.4% versus 42.9%, P = 0.004; hospital length of stay (LOS): 3.06 days (SE, 0.42) versus 1.46 days (SE, 0.23); hospital LOS using SIPA corrected for fever: 2.75 days (SE, 0.44) versus 1.72 days (SE, 0.24); ventilatory support: 16.44% versus 3.36%, P < 0.002; fluid bolus: 28.77% versus 14.29%, P < 0.015; intravenous medications (antibiotics, antiepileptics, immune globulin, albumin): 45.21% versus 30.25%, P < 0.036. There was no difference between other interventions, pediatric intensive care admission, and LOS between the 2 groups. Importantly, SIPA was unaffected by fever, race, or sex. CONCLUSIONS: Shock index, pediatric age-adjusted identifies level 3 Emergency Severity Index pediatric patients more likely to require hospital admission, longer LOS, and a lifesaving intervention especially ventilatory support, intravenous fluids, or specific intravenous medications. Shock index, pediatric age-adjusted's predictive ability remained unaffected by fever, race, or sex, making it a valuable tool in preventing mistriage and justifying inclusion in the Emergency Severity Index danger zone vitals criteria for up-triage.

Transient 2:1 Atrioventricular Block with Peri-Conduction System Pacing After Leadless Pacemaker Implantation.

This report discusses a case of transient 2:1 atrioventricular block with conduction system pacing 4 hours after leadless right ventricular pacemaker implantation in a 19-year-old patient with a history of cardioinhibitory syncope and asystole cardiac arrest but without preexisting atrioventricular block. The atrioventricular block was resolved spontaneously. Pacing morphology was suggestive of right bundle branch pacing. Neither 2:1 atrioventricular block nor conduction system pacing has previously been a reported outcome of right ventricular leadless pacemaker implantation. The report demonstrates that conduction system pacing with leadless devices is achievable. Further study of techniques, limitations, and complications related to intentional right ventricular leadless conduction system pacing is warranted.

Algorithms in medical decision-making and in everyday life: what's the difference?

Algorithms are a ubiquitous part of modern life. Despite being a component of medicine since early efforts to deploy computers in medicine, clinicians' resistance to using decision support and use algorithms to address cognitive biases has been limited. This resistance is not just limited to the use of algorithmic clinical decision support, but also evidence and stochastic reasoning and the implications of the forcing function of the electronic medical record. Physician resistance to algorithmic support in clinical decision making is in stark contrast to their general acceptance of algorithmic support in other aspects of life.

Radiologist age and diagnostic errors.

PURPOSE: Previous investigations into the causes of error by radiologists have addressed work schedule, volume, shift length, and sub-specialization. Studies regarding possible associations between radiologist errors and radiologist age and timing of residency training are lacking in the literature, to our knowledge. The aim of our study was to determine if radiologist age and residency graduation date is associated with diagnostic errors. METHODS: Our retrospective analysis included 1.9 million preliminary interpretations (out of a total of 5.2 million preliminary and final interpretations) of imaging examinations by 361 radiologists in a US-based national teleradiology practice between 1/1/2019 and 1/1/2020. Quality assurance data regarding the number of radiologist errors was generated through client facility feedback to the teleradiology practice. With input from both the client radiologist and the teleradiologist, the final determination of the presence, absence, and severity of a teleradiologist error was determined by the quality assurance committee of radiologists within the teleradiology company using standardized criteria. Excluded were 3.2 million final examination interpretations and 93,963 (1.8%) of total examinations from facilities reporting less than one discrepancy in examination interpretation in 2019. Logistic regression with covariates radiologist age and residency graduation date was performed for calculation of relative risk of overall error rates and by major imaging modality. Major errors were separated from minor errors as those with a greater likelihood of affecting patient care. Logistic regression with covariates radiologist age, residency graduation date, and log total examinations interpreted was used to calculate odds of making a major error to that of making a minor error. RESULTS: Mean age of the 361 radiologists was 51.1 years, with a mean residency graduation date of 2001. Mean error rate for all examinations was 0.5%. Radiologist age at any residency graduation date was positively associated with major errors (p < 0.05), with a relative risk 1.021 for each 1-year increase in age and relative risk 1.235 for each decade as well as for minor errors (p < 0.05, relative risk 1.007 for each year, relative risk 1.082 for each decade). By major imaging modality, radiologist age at any residency graduation date was positively associated with computed tomography (CT) and X-ray (XR) major and minor error, magnetic resonance imaging (MRI) major error, and ultrasound (US) minor error (p < 0.05). Radiologist age was positively associated with odds of making a major vs. minor error (p < 0.05). CONCLUSIONS: The mean error rate for all radiologists was low. We observed that increasing age at any residency graduation date was associated with increasing relative risk of major and minor errors as well as increasing odds of a major vs. minor error among providers. Further study is needed to corroborate these results, determine clinical relevance, and highlight strategies to address these findings.

Effects of Work Shift or Shift Length on Radiation Safety Perception.

PURPOSE: This study investigated several determinants of radiation safety culture among radiologic technologists to determine whether factors related to work shifts or workday length affect the perception of workplace radiation safety. METHODS: The secondary analysis used de-identified data from 425 radiologic technologists collected with the Radiation Actions and Dimensions of Radiation Safety (RADS) questionnaire, a 35-item survey with valid and reliable psychometric properties. Respondents included radiologic technologists working in radiography, computed tomography (CT), mammography, and hospital radiology administration. Descriptive statistics were used to report RADS survey item outcomes, and analysis of variance (ANOVA) tests with Games-Howell post hoc tests were conducted to analyze the hypotheses. RESULTS: Mean differences in perception of teamwork across imaging stakeholders (P < .001) and leadership actions (P = .001) were found across shift-length groups. In addition, mean differences in perception of teamwork across imaging stakeholders (P = .007) were found across work-shift groups. DISCUSSION: Longer shifts (≥ 12 hours) and night shifts are related to a diminished perception of the importance of radiation safety among radiologic technologists. The study showed a significant effect of these shift factors on the perception of teamwork and leadership actions concerning radiation safety. CONCLUSION: These results underscore the importance of leadership actions and messaging, teamwork-building, and in-service training on radiation safety for technologists who frequently work long, after-hours shifts.

Summary of the 2022 ACR Intersociety Meeting.

The ACR Intersociety Committee meeting of 2022 (ISC-2022) was convened around the theme of "Recovering From The Great Resignation, Moral Injury and Other Stressors: Rebuilding Radiology for a Robust Future." Representatives from 29 radiology organizations, including all radiology subspecialties, radiation oncology, and medical physics, as well as academic and private practice radiologists, met for 3 days in early August in Park City, Utah, to search for solutions to the most pressing problems facing the specialty of radiology in 2022. Of these, the mismatch between the clinical workload and the available radiologist workforce was foremost-as many other identifiable problems flowed downstream from this, including high job turnover, lack of time for teaching and research, radiologist burnout, and moral injury.

In Situ Pulmonary Arterial Thrombosis: Literature Review and Clinical Significance of a Distinct Entity.

Filling defects identified in the pulmonary arterial tree are commonly presumed to represent an embolic phenomenon originating from thrombi formed in remote veins, particularly lower-extremity deep venous thrombosis (DVT). However, accumulating evidence supports an underappreciated cause for pulmonary arterial thrombosis (PAT), namely, de novo thrombogenesis-whereby thrombosis arises within the pulmonary arteries in the absence of DVT. Although historically underrecognized, in situ PAT has become of heightened importance with the emergence of SARS-CoV-2 infection. In situ PAT is attributed to endothelial dysfunction, systemic inflammation, and acute lung injury and has been described in a range of conditions including COVID-19, trauma, acute chest syndrome in sickle cell disease, pulmonary infections, and severe pulmonary arterial hypertension. The distinction between pulmonary embolism and in situ PAT may have important implications regarding management decisions and clinical outcomes. In this review, we summarize the pathophysiology, imaging appearances, and management of in situ PAT in various clinical situations. This understanding will promote optimal tailored treatment strategies for this increasingly recognized entity.

Value of CTA/MRA in the setting of intraparenchymal hemorrhage in the emergency department.

PURPOSE: To assess the diagnostic yield of computed tomography angiography (CTA)/magnetic resonance angiography (MRA) brain and neck ordered in the emergency department (ED) for patients who have intraparenchymal hemorrhage (IPH) on their initial noncontrast CT (NCCT) of the head. METHODS: In this retrospective study, we reviewed 156 patients presenting to the ED with nontraumatic IPH, documented on NCCT. We assessed if the subsequent CTA/MRA was positive, and collected data regarding the location of the bleed, patients' age group, and presence/absence of associated SAH/IVH. Two neuroradiologists were asked to predict, based on age and NCCT appearance, whether the CTA/MRA would be positive or negative for demonstrating a vascular etiology of the hemorrhage. RESULTS: The yield of CTA/MRA head for patients above 75 years old was 2% (1/49), as the etiology for IPH in such age group was more commonly related to hypertensive bleed or amyloid angiopathy. The concomitant presence of subarachnoid hemorrhage (SAH) and intraventricular hemorrhage (IVH), particularly in patients younger than 75 years, correlated with a higher likelihood of a positive CTA. Statistically, the neuroradiologists were able to exclude a vascular source of the IPH based on CT appearance, bleed location, and patient's age in over 92% of cases. CONCLUSION: CTA/MRA for IPH has a lower yield in patients at older age and with deep gray matter distribution without SAH. Neuroradiologists were accurate at excluding a vascular source of the IPH in most cases. This study suggests that CTA/MRA can be omitted in certain scenarios, thereby preventing overutilization, and leading to optimal use of health care resources.

Mandating Limits on Workload, Duty, and Speed in Radiology.

Research has not yet quantified the effects of workload or duty hours on the accuracy of radiologists. With the exception of a brief reduction in imaging studies during the 2020 peak of the COVID-19 pandemic, the workload of radiologists in the United States has seen relentless growth in recent years. One concern is that this increased demand could lead to reduced accuracy. Behavioral studies in species ranging from insects to humans have shown that decision speed is inversely correlated to decision accuracy. A potential solution is to institute workload and duty limits to optimize radiologist performance and patient safety. The concern, however, is that any prescribed mandated limits would be arbitrary and thus no more advantageous than allowing radiologists to self-regulate. Specific studies have been proposed to determine whether limits reduce error, and if so, to provide a principled basis for such limits. This could determine the precise susceptibility of individual radiologists to medical error as a function of speed during image viewing, the maximum number of studies that could be read during a work shift, and the appropriate shift duration as a function of time of day. Before principled recommendations for restrictions are made, however, it is important to understand how radiologists function both optimally and at the margins of adequate performance. This study examines the relationship between interpretation speed and error rates in radiology, the potential influence of artificial intelligence on reading speed and error rates, and the possible outcomes of imposed limits on both caseload and duty hours. This review concludes that the scientific evidence needed to make meaningful rules is lacking and notes that regulating workloads without scientific principles can be more harmful than not regulating at all.

Distribution and frequency of tyrosine kinase inhibitor-associated long-term complications in children with chronic myeloid leukemia.

BACKGROUND: Tyrosine kinase inhibitors (TKIs) improve outcomes for pediatric malignancies characterized by specific gene rearrangements and mutations; however, little is known about the long-term impact of TKI exposure. Our objective was to assess the incidence and type of late-onset TKI-related toxicities in children with chronic myeloid leukemia (CML). METHODS: We reviewed medical records from patients diagnosed with CML between 2006 and 2019 at <21 years of age and prescribed one or more TKIs. Patients treated with stem cell transplant were excluded. Outcomes were captured beginning at 1 year after CML diagnosis. Outcome incidence was described overall and stratified by TKI exposure during the data-capture period. RESULTS: Twenty-two eligible TKI-exposed patients with CML were identified. The median follow-up was 6.0 years (range: 2.2-14.3). All pericardial (n = 3) or pleural (n = 3) effusion outcomes occurred in patients treated with TKIs during the data-capture period. Other outcomes included hypertension (n = 2), ectopy on electrocardiogram (n = 2), and gastrointestinal bleed (n = 1). All outcomes were graded as mild to moderate: some resulted in a temporary discontinuation of TKI, but none led to a change in TKI. No differences were noted in outcome incidence by type of TKI exposure. CONCLUSIONS: TKIs have substantially improved prognosis for subsets of childhood leukemia, but there are limited long-term data to inform exposure-based risk for late-onset complications and screening. Our results suggest that TKI-exposed survivors may be at risk for long-term outcomes that extend well into survivorship.

The Blended Academic & Community Breast Imaging Practice.

In this paper, we provide a brief overview of the history, organizational structure, and current operational state of our blended academic and community-model breast service. We review the challenges inherent to governance and management of a "matrix" organization practice model such as ours, and discuss the ways in which the leadership of our evolving blended practice are addressing those challenges collaboratively.

When Artificial Intelligence Models Surpass Physician Performance: Medical Malpractice Liability in an Era of Advanced Artificial Intelligence.

It seems inevitable that diagnostic and recommender artificial intelligence models will ultimately reach a point when they outperform human clinicians. Just as antibiotics displaced a host of medicinals for treating infections, the superior performance of such models will force their adoption. This article contemplates certain ethical and legal implications bearing on that adoption, especially because they involve a clinician's exposure to allegations of malpractice. The article discusses four relevant considerations: (1) the imperative of using explainable artificial intelligence models in clinical care, (2) specific strategies for diminishing liability when a clinician agrees or disagrees with a model's findings or recommendations but the patient nevertheless experiences a poor outcome, (3) relieving liability through legislation or regulation, and (4) comprehending such models as "persons" and therefore as potential defendants in legal proceedings. We conclude with observations on clinician-vendor relationships and argue that, although advanced artificial intelligence models have not yet arrived, clinicians must begin considering their implications now.