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Osteoporosis is underdiagnosed, especially in ethnic and racial minorities who are thought to be protected against bone loss, but often have worse outcomes after an osteoporotic fracture. We aimed to determine the prevalence of osteoporosis by opportunistic CT in patients who underwent lung cancer screening (LCS) using non-contrast CT in the Northeastern United States. Demographics including race and ethnicity were retrieved. We assessed trabecular bone and body composition using a fully-automated artificial intelligence algorithm. ROIs were placed at T12 vertebral body for attenuation measurements in Hounsfield Units (HU). Two validated thresholds were used to diagnose osteoporosis: high-sensitivity threshold (115-165 HU) and high specificity threshold (<115 HU). We performed descriptive statistics and ANOVA to compare differences across sex, race, ethnicity, and income class according to neighborhoods' mean household incomes. Forward stepwise regression modeling was used to determine body composition predictors of trabecular attenuation. We included 3708 patients (mean age 64 ± 7 years, 54 % males) who underwent LCS, had available demographic information and an evaluable CT for trabecular attenuation analysis. Using the high sensitivity threshold, osteoporosis was more prevalent in females (74 % vs. 65 % in males, p < 0.0001) and Whites (72 % vs 49 % non-Whites, p < 0.0001). However, osteoporosis was present across all races (38 % Black, 55 % Asian, 56 % Hispanic) and affected all income classes (69 %, 69 %, and 91 % in low, medium, and high-income class, respectively). High visceral/subcutaneous fat-ratio, aortic calcification, and hepatic steatosis were associated with low trabecular attenuation (p < 0.01), whereas muscle mass was positively associated with trabecular attenuation (p < 0.01). In conclusion, osteoporosis is prevalent across all races, income classes and both sexes in patients undergoing LCS. Opportunistic CT using a fully-automated algorithm and uniform imaging protocol is able to detect osteoporosis and body composition without additional testing or radiation. Early identification of patients traditionally thought to be at low risk for bone loss will allow for initiating appropriate treatment to prevent future fragility fractures. CLINICALTRIALS.GOV IDENTIFIER: N/A.
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Detección Precoz del Cáncer , Neoplasias Pulmonares , Osteoporosis , Tomografía Computarizada por Rayos X , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Inteligencia Artificial , Detección Precoz del Cáncer/métodos , Procesamiento de Imagen Asistido por Computador/métodos , Neoplasias Pulmonares/diagnóstico por imagen , Osteoporosis/diagnóstico por imagen , Osteoporosis/epidemiología , Tomografía Computarizada por Rayos X/métodosRESUMEN
Editor's Note.-RadioGraphics Update articles supplement or update information found in full-length articles previously published in RadioGraphics. These updates, written by at least one author of the previous article, provide a brief synopsis that emphasizes important new information such as technological advances, revised imaging protocols, new clinical guidelines involving imaging, or updated classification schemes.
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Detección Precoz del Cáncer , Neoplasias Pulmonares , Humanos , Neoplasias Pulmonares/diagnóstico por imagen , Diagnóstico por ImagenRESUMEN
Background: Chest imaging, including chest X-ray (CXR) and computed tomography (CT), can be a helpful adjunct to nucleic acid test (NAT) in the diagnosis and management of Coronavirus Disease 2019 (COVID-19). Lung point of care ultrasound (POCUS), particularly with handheld devices, is an imaging alternative that is rapid, highly portable, and more accessible in low-resource settings. A standardized POCUS scanning protocol has been proposed to assess the severity of COVID-19 pneumonia, but it has not been sufficiently validated to assess diagnostic accuracy for COVID-19 pneumonia. Purpose: To assess the diagnostic performance of a standardized lung POCUS protocol using a handheld POCUS device to detect patients with either a positive NAT or a COVID-19-typical pattern on CT scan. Methods: Adult inpatients with confirmed or suspected COVID-19 and a recent CT were recruited from April to July 2020. Twelve lung zones were scanned with a handheld POCUS machine. Images were reviewed independently by blinded experts and scored according to the proposed protocol. Patients were divided into low, intermediate, and high suspicion based on their POCUS score. Results: Of 79 subjects, 26.6% had a positive NAT and 31.6% had a typical CT pattern. The receiver operator curve for POCUS had an area under the curve (AUC) of 0.787 for positive NAT and 0.820 for a typical CT. Using a two-point cutoff system, POCUS had a sensitivity of 0.90 and 1.00 compared to NAT and typical CT pattern, respectively, at the lower cutoff; it had a specificity of 0.90 and 0.89 compared to NAT and typical CT pattern at the higher cutoff, respectively. Conclusions: The proposed lung POCUS protocol with a handheld device showed reasonable diagnostic performance to detect inpatients with a positive NAT or typical CT pattern for COVID-19. Particularly in low-resource settings, POCUS with handheld devices may serve as a helpful adjunct for persons under investigation for COVID-19 pneumonia.
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Identifying and managing lung cancer, the leading cause of cancer-specific mortality, depend on multiple medical and sociodemographic factors. Humanomics is a model that acknowledges that negative societal stressors from systemic inequity affect individual health by altering pro-inflammatory gene expression. The same factors which may predispose individuals to lung cancer may also obstruct equitably prompt diagnosis and treatment. Increasing lung cancer screening access can lessen disparities in outcomes among disproportionately affected communities. Here, the authors describe several individual, provider, and health system-level obstacles to lung cancer screening and offer actionable solutions to increase access.
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Equidad en Salud , Neoplasias Pulmonares , Humanos , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/genética , Detección Precoz del CáncerRESUMEN
Health disparities, preventable differences in the burden of disease and disease outcomes often experienced by socially disadvantaged populations, can be found in nearly all areas of radiology, including emergency radiology, neuroradiology, nuclear medicine, image-guided interventions, and imaging-based cancer screening. Disparities in imaging-based cancer screening are especially noteworthy given the far-reaching population health impact. The social determinants of health (SDoH) play an important role in disparities in cancer screening and outcomes. Through improved understanding of how SDoH can drive differences in health outcomes in radiology, radiologists can effectively provide patient-centered, high-quality, and equitable care. Radiologists and radiology practices can become active partners in efforts to assist patients along their imaging journey and overcome existing barriers to equitable cancer screening care for traditionally marginalized populations. As radiology exists at the intersection of diagnostic imaging, image-guided diagnostic intervention, and image-guided treatment, radiologists are uniquely positioned to design these strategies. Cost-effective and socially conscious strategies that address barriers to equitable care can improve both public health and equitable health outcomes. Potential strategies include championing supportive health policy, reducing out-of-pocket costs, increasing price transparency, improving education and outreach efforts, ensuring that appropriate language translation services are available, providing individualized assistance with appointment scheduling, and offering transportation assistance and childcare. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.
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Neoplasias , Radiología , Humanos , Detección Precoz del Cáncer , Determinantes Sociales de la Salud , Radiografía , Cintigrafía , Neoplasias/diagnóstico por imagenRESUMEN
OBJECTIVE: To determine imaging utilization rates in outpatient primary care visits and factors influencing likelihood of imaging use. METHODS: We used 2013 to 2018 National Ambulatory Medical Care Survey cross-sectional data. All visits to primary care clinics during the study period were included in the sample. Descriptive statistics on visit characteristics including imaging utilization were calculated. Logistic regression analyses evaluated the influence of a variety of patient-, provider-, and practice-level variables on the odds of obtaining diagnostic imaging, further subdivided by modality (radiographs, CT, MRI, and ultrasound). The data's survey weighting was accounted for to produce valid national-level estimates of imaging use for US office-based primary care visits. RESULTS: Using survey weights, approximately 2.8 billion patient visits were included. Diagnostic imaging was ordered at 12.5% of visits with radiographs the most common (4.3%) and MRI the least common (0.8%). Imaging utilization was similar or greater among minority patients compared with White, non-Hispanic patients. Physician assistants used imaging at higher rates than physicians, in particular CT at 6.5% of visits compared with 0.7% for doctors of medicine and doctors of osteopathic medicine (odds ratio 5.67, 95% confidence interval 4.07-7.88). CONCLUSION: Disparities in rates of imaging utilization for minorities seen in other health care settings were not present in this sample of primary care visits, supporting that access to primary care is a path to promote health equity. Higher rates of imaging utilization among advanced-level practitioners highlight an opportunity to evaluate imaging appropriateness and promote equitable, high-value imaging among all practitioners.
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Atención Ambulatoria , Promoción de la Salud , Humanos , Estados Unidos , Estudios Transversales , Encuestas de Atención de la Salud , Diagnóstico por Imagen , Atención Primaria de SaludRESUMEN
Imaging is a central determinant of health outcomes, and radiologic disparities can cascade throughout a patient's illness course. Innovative efforts in radiology are constant, but innovation that is driven by short-term profit-making incentives without explicit regard for principles of justice can lead to exclusion of the vulnerable from potential benefits and widening of inequities. Accordingly, we must consider the ways in which the field of radiology can shape innovative efforts to ensure that innovation ameliorates injustice instead of exacerbating it. The authors propose a distinction between approaches to innovation that prioritize justice and those that do not. The authors argue that the field's institutional incentives should be adjusted to prioritize forms of innovation that are likely to ameliorate imaging inequities, and they provide examples of initial steps that can be taken to make these adjustments. The authors propose the term justice-oriented innovation as a way of describing forms of innovation that are motivated by reducing injustice and can reasonably be expected to do so.
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Radiología , Justicia Social , HumanosRESUMEN
Health care workforce diversity is vital in combating health disparities. Despite much recent attention to downstream strategies to improve diversity in radiology, such as increased recruitment efforts and holistic application review, workforce diversity has not tangibly improved in recent decades. Yet, little discussion has been devoted to defining the obstacles that might delay, complicate, or altogether prevent persons from groups that have been traditionally marginalized and minoritized from a career in radiology. Refocusing attention to upstream barriers to medical education is vital to develop sustainable workforce diversity efforts in radiology. The purpose of this article is to highlight the varied obstacles students and trainees from historically underrepresented communities may face along the radiology career pathway and to provide concrete corollary programmatic solutions. Using a reparative justice framework, which encourages race- and gender-conscious repair of historical injustices, and the socioecological model, which recognizes an individual's choices are informed by historical and ongoing systems of power, this article advocates for tailored programs to improve justice, equity, diversity, and inclusion in radiology.
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Grupos Minoritarios , Radiología , Humanos , Recursos Humanos , Personal de Salud , Justicia Social , Diversidad CulturalRESUMEN
PURPOSE: To evaluate geographic accessibility of ACR mammographic screening (MS), lung cancer screening (LCS), and CT colorectal cancer screening (CTCS) centers among US federally recognized American Indian and Alaskan Native (AI/AN) tribes. METHODS: Distances from AI/AN tribes' ZIP codes to their closest ACR-accredited LCS and CTCS centers were recorded using tools from the ACR website. The FDA's database was used for MS. Persistent adult poverty (PPC-A), persistent child poverty (PPC-C), and rurality indexes (rural-urban continuum codes) were from the US Department of Agriculture. Logistic and linear regression analyses were used to assess distances to screening centers and relationships among rurality, PPC-A, and PPC-C. RESULTS: Five hundred ninety-four federally recognized AI/AN tribes met the inclusion criteria. Among all closest MS, LCS, or CTCS center to AI/AN tribes, 77.8% (1,387 of 1,782) were located within 200 miles, with a mean distance of 53.6 ± 53.0 miles. Most tribes (93.6% [557 of 594]) had MS centers within 200 miles, 76.4% (454 of 594) had LCS centers within 200 miles, and 63.5% (376 of 594) had CTCS centers within 200 miles. Counties with PPC-A (odds ratio [OR], 0.47; P < .001) and PPC-C (OR, 0.19; P < .001) were significantly associated with decreased odds of having a cancer screening center within 200 miles. PPC-C was associated with decreased likelihood of having an LCS center (OR, 0.24; P < .001) and an CTCS center (OR, 0.52; P < .001) within the same state as the tribe's location. No significant association was found between PPC-A and PPC-C and MS centers. CONCLUSIONS: AI/AN tribes experience distance barriers to ACR-accredited screening centers, resulting in cancer screening deserts. Programs are needed to increase equity in screening access among AI/AN tribes.
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Indio Americano o Nativo de Alaska , Neoplasias de la Mama , Neoplasias Colorrectales , Instituciones de Salud , Accesibilidad a los Servicios de Salud , Neoplasias Pulmonares , Humanos , Neoplasias de la Mama/diagnóstico por imagen , Neoplasias Colorrectales/diagnóstico por imagen , Detección Precoz del Cáncer , Instituciones de Salud/normas , Instituciones de Salud/provisión & distribución , Neoplasias Pulmonares/diagnóstico por imagen , Estados UnidosRESUMEN
PURPOSE: The aim of this study was to evaluate the presence or absence of accredited breast imaging facilities in ZIP codes with high or low neighborhood socioeconomic deprivation. METHODS: A retrospective ecological study design was used. Neighborhood socioeconomic disadvantage rankings at the ZIP code level were defined by the University of Wisconsin Neighborhood Atlas Area Deprivation Index. Outcomes included the presence or absence of FDA- or ACR-accredited mammographic facilities, accredited stereotactic biopsy or breast ultrasound facilities, and ACR Breast Imaging Centers of Excellence. US Department of Agriculture rural-urban commuting area codes were used to define urban and rural status. Access to breast imaging facilities in high-disadvantage (≥97th percentile) and low-disadvantage (≤3rd percentile) ZIP codes was compared using χ2 tests, stratified by urban or rural status. RESULTS: Among 41,683 ZIP codes, 2,796 were classified as high disadvantage (1,160 rural, 1,636 urban) and 1,028 as low disadvantage (39 rural, 989 urban). High-disadvantage ZIP codes were more likely rural (P < .001) and less likely to have FDA-certified mammographic facilities (28% versus 35%, P < .001), ACR-accredited stereotactic biopsy (7% versus 15%, P < .001), breast ultrasound (9% versus 23%, P < .001), or Breast Imaging Centers of Excellence (7% versus 16%, P < .001). Among urban areas, high-disadvantage ZIP codes were less likely to have FDA-certified mammographic facilities (30% versus 36%, P = .002), ACR-accredited stereotactic biopsy (10% versus 16%, P < .001), breast ultrasound (13% versus 23%, P < .001), and Breast Imaging Centers of Excellence (10% versus 16%, P < .001). CONCLUSIONS: People living in ZIP codes with high socioeconomic disadvantage are less likely to have accredited breast imaging facilities within their ZIP codes, which may contribute to disparities in access to breast cancer care experienced by underserved groups living in these areas.
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Neoplasias de la Mama , Características de la Residencia , Humanos , Femenino , Estudios Retrospectivos , Neoplasias de la Mama/diagnóstico por imagen , Mamografía , Factores SocioeconómicosRESUMEN
Patient-centered care (PCC) and equity are two of the six core domains of quality health care, according to the Institute of Medicine. Exceptional imaging care requires radiology practices to provide patient-centered (i.e., respectful and responsive to individual patient preferences, needs, and values) and equitable (i.e., does not vary in quality on the basis of gender, ethnicity, geographic location, or socioeconomic status) care. Specific barriers that prevent the delivery of patient-centered equitable care include information gaps, breaches of trust, organizational medical culture, and financial incentives. Information gaps limit practitioners in understanding the lived experience of patients. Breaches of trust prevent patients from seeking needed medical care. Organizational medical cultures may not be centered around patient experiences. Financial incentives can impede practitioners' ability to spend the time and resources required to meet patient goals and needs. Intentional approaches that integrate core principles in both PCC and health equity are required to deliver high-quality patient-centered imaging care for diverse patient populations. The purpose of this AJR Expert Panel Narrative Review is to review the origins of the PCC movement in radiology, characterize connections between the PCC and health equity movements, and describe concrete examples of ways to foster patient-centered equitable care in radiology.
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Atención Dirigida al Paciente , Radiología , Humanos , Atención Dirigida al Paciente/métodos , Calidad de la Atención de SaludRESUMEN
INTRODUCTION: Radiology has widely acknowledged the need to improve inclusion of racial, ethnic, gender, and sexual minorities, with recent discourse also underscoring the importance of disability diversity and inclusion efforts. Yet studies have shown a paucity of diversity among radiology residents, despite increasing efforts to foster diversity and inclusion. Thus, the purpose of this study is to assess radiology residency program websites' diversity statements for inclusion of race and ethnicity, gender, sexual orientation, and disability as commonly underrepresented groups. METHODS: A cross-sectional, observational study of websites of all diagnostic radiology programs in the Electronic Residency Application Service directory was conducted. Program websites that met inclusion criteria were audited for presence of a diversity statement; if the statement was specific to the residency program, radiology department, or institution; and if it was presented or linked on the program or department website. All statements were evaluated for the inclusion of four diversity categories: race or ethnicity, gender, sexual orientation, and disability. RESULTS: One hundred ninety-two radiology residencies were identified using Electronic Residency Application Service. Programs with missing or malfunctioning hyperlinks (n = 33) or required logins (n = 1) were excluded. One hundred fifty-eight websites met inclusion criteria for analysis. Two-thirds (n = 103; 65.1%) had a diversity statement within their residency, department, or institution, with only 28 (18%) having residency program-specific statements and 22 (14%) having department-specific statements. Of the websites with diversity statements, inclusion of gender diversity was most frequent (43.0%), followed by race or ethnicity (39.9%), sexual orientation (32.9%), and disability (25.3%). Race or ethnicity was most included in institution-level diversity statements. CONCLUSIONS: Less than 20% of radiology residency websites include a diversity statement, and disability is the least-included category among the diversity statements. As radiology continues to lead diversity and inclusion efforts in health care, a more comprehensive approach with equitable representation of different groups, including those with disabilities, would foster a broader sense of belonging. This comprehensive approach can help to overcome systemic barriers and bridge gaps in disability representation.
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Internado y Residencia , Radiología , Humanos , Femenino , Masculino , Educación de Postgrado en Medicina , Prevalencia , Estudios TransversalesRESUMEN
Community-based participatory research (CBPR) is defined by the Kellogg Community Health Scholars Program as a collaborative process that equitably involves all partners in the research process and recognizes the unique strengths that each community member brings. The CBPR process begins with a research topic of importance to the community, with the goal of combining knowledge and action with social change to improve community health and eliminate health disparities. CBPR engages and empowers affected communities to collaborate in defining the research question; sharing the study design process; collecting, analyzing, and disseminating the data; and implementing solutions. A CBPR approach in radiology has several potential applications, including removing limitations to high-quality imaging, improving secondary prevention, identifying barriers to technology access, and increasing diversity in the research participation for clinical trials. The authors provide an overview with the definitions of CBPR, explain how to conduct CBPR, and illustrate its applications in radiology. Finally, the challenges of CBPR and useful resources are discussed in detail. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.