Addressing Disparities Related to Access of Multimodality Breast Imaging Services Before and During the COVID-19 Pandemic

Utilization of artificial intelligence to triage patients with delayed follow-up of probably benign breast ultrasound findings

PURPOSE

This study aimed to evaluate our institution's experience in using artificial intelligence (AI) decision support (DS) as part of the clinical workflow to triage patients with Breast Imaging Reporting and Data System (BI-RADS) 3 sonographic lesions whose follow-up was delayed during the coronavirus disease 2019 (COVID-19) pandemic, against subsequent imaging and/or pathologic follow-up results.

METHODS

This retrospective study included patients with a BI-RADS category 3 (i.e., probably benign) breast ultrasound assessment from August 2019-December 2019 whose follow-up was delayed during the COVID-19 pandemic and whose breast ultrasounds were re-reviewed using Koios DS Breast AI as part of the clinical workflow for triaging these patients. The output of Koios DS was compared with the true outcome of a presence or absence of breast cancer defined by resolution/stability on imaging follow-up for at least 2 years or pathology results.

RESULTS

The study included 161 women (mean age, 52 years) with 221 BI-RADS category 3 sonographic lesions. Of the 221 lesions, there were two confirmed cancers (0.9% malignancy rate). Koios DS assessed 112/221 lesions (50.7%) as benign, 42/221 lesions (19.0%) as probably benign, 64/221 lesions (29.0%) as suspicious, and 3/221 lesions (1.4%) as probably malignant. Koios DS had a sensitivity of 100% (2/2; 95% confidence interval [CI], 16% to 100%), specificity of 70% (154/219; 95% CI, 64% to 76%), negative predictive value of 100% (154/154; 95% CI, 98% to 100%), and false-positive rate of 30% (65/219; 95% CI, 24% to 36%).

CONCLUSION

When many follow-up appointments are delayed, e.g., natural disaster, or scenarios where resources are limited, breast ultrasound AI DS can help triage patients with probably benign breast ultrasounds.

microRNA-875-5p-conjugated gold nanoparticles suppress breast cancer progression through the MTDH/PTEN/AKT signaling pathway

OBJECTIVE

A lack of effective delivery methods has hampered the study of therapeutics targeting miR-875-5p for breast cancer (BC).

METHODS

The miR-875-5p mimic was conjugated to AuNPs to produce AuNP-miR-875-5p. Then, the effect of AuNP-miR-875-5p on the proliferative, migratory, invasive activities, and apoptosis of BC cells was detected, as well as on tumor growth in animals. The involvement of the MTDH/PTEN/AKT pathway in miR-875-5p-mediated BC progression was identified.

RESULTS

AuNP-miR-875-5p was delivered to BC cells and hampered cell malignancy. MTDH was targeted by miR-875-5p. MTDH expression was negatively correlated with miR-875-5p expression in BC tissues. The anti-tumor effect of AuNP-miR-875-5p in BC cells was counteracted by MTDH overexpression. AuNP-miR-875-5p enhanced PTEN protein expression, thereby inhibiting AKT activation by targeting MTDH. AuNP-miR-875-5p blocked MCF-7 tumor growth in vivo.

CONCLUSION

AuNPs can deliver miR-875-5p to BC cells, and AuNP-miR-875-5p has clinical potential for treating unresectable BC.

Identifying and Addressing Barriers to Screening Mammography in a Medically Underserved Community

RATIONALE AND OBJECTIVES

Breast cancer mortality is 40% higher for Black women compared to White women. This study seeks to assess knowledge of breast cancer screening recommendations and identify barriers to risk assessment and mammographic screening among a medically underserved, low-income, predominantly Black community in West Philadelphia.

MATERIALS AND METHODS

During a free mobile mammography screening event, women were offered surveys to assess perceptions of and barriers to breast cancer risk assessment and screening. Among those who subsequently underwent mobile screening, health insurance and time to additional diagnostic imaging and biopsy, when relevant, were retrospectively collected.

RESULTS

233 women completed surveys (mean age 54 ± 13 years). Ninety-three percent of respondents identified as Black. The most frequently cited barrier to screening mammography was cost and/or lack of insurance coverage (30%). Women under 50 reported more barriers to screening compared to older women. Among those recalled from screening and recommended to undergo biopsy, there was a trend toward longer delays between screening and biopsy among those without a PCP (median 45 days, IQR 25-53) compared to those with a PCP (median 24 days, IQR 16-29) (p = 0.072).

CONCLUSION

In a study of a medically underserved community of primarily Black patients, barriers to breast cancer risk assessment, screening, and diagnosis were identified by self-report and by documented care delays. While free mobile mammography initiatives that bring medical professionals into communities can help mitigate barriers to screening, strategies for navigation and coordination of follow-up are critical to promote timely diagnostic resolution for all patients.

Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies

Background Artificial intelligence (AI) is increasingly used to manage radiologists' workloads. The impact of patient characteristics on AI performance has not been well studied. Purpose To understand the impact of patient characteristics (race and ethnicity, age, and breast density) on the performance of an AI algorithm interpreting negative screening digital breast tomosynthesis (DBT) examinations. Materials and Methods This retrospective cohort study identified negative screening DBT examinations from an academic institution from January 1, 2016, to December 31, 2019. All examinations had 2 years of follow-up without a diagnosis of atypia or breast malignancy and were therefore considered true negatives. A subset of unique patients was randomly selected to provide a broad distribution of race and ethnicity. DBT studies in this final cohort were interpreted by a U.S. Food and Drug Administration-approved AI algorithm, which generated case scores (malignancy certainty) and risk scores (1-year subsequent malignancy risk) for each mammogram. Positive examinations were classified based on vendor-provided thresholds for both scores. Multivariable logistic regression was used to understand relationships between the scores and patient characteristics. Results A total of 4855 patients (median age, 54 years [IQR, 46-63 years]) were included: 27% (1316 of 4855) White, 26% (1261 of 4855) Black, 28% (1351 of 4855) Asian, and 19% (927 of 4855) Hispanic patients. False-positive case scores were significantly more likely in Black patients (odds ratio [OR] = 1.5 [95% CI: 1.2, 1.8]) and less likely in Asian patients (OR = 0.7 [95% CI: 0.5, 0.9]) compared with White patients, and more likely in older patients (71-80 years; OR = 1.9 [95% CI: 1.5, 2.5]) and less likely in younger patients (41-50 years; OR = 0.6 [95% CI: 0.5, 0.7]) compared with patients aged 51-60 years. False-positive risk scores were more likely in Black patients (OR = 1.5 [95% CI: 1.0, 2.0]), patients aged 61-70 years (OR = 3.5 [95% CI: 2.4, 5.1]), and patients with extremely dense breasts (OR = 2.8 [95% CI: 1.3, 5.8]) compared with White patients, patients aged 51-60 years, and patients with fatty density breasts, respectively. Conclusion Patient characteristics influenced the case and risk scores of a Food and Drug Administration-approved AI algorithm analyzing negative screening DBT examinations. © RSNA, 2024.

Determinants of Breast Cancer Screening Adherence During the COVID-19 Pandemic in a Cohort at Increased Inherited Cancer Risk in the United States

BACKGROUND

We examined neighborhood characteristics concerning breast cancer screening annual adherence during the COVID-19 pandemic.

METHODS

We analyzed 6673 female patients aged 40 or older at increased inherited cancer risk in 2 large health care systems (NYU Langone Health [NYULH] and the University of Utah Health [UHealth]). Multinomial models were used to identify predictors of mammogram screening groups (non-adherent, pre-pandemic adherent, pandemic period adherent) in comparison to adherent females. Potential determinants included sociodemographic characteristics and neighborhood factors.

RESULTS

Comparing each cancer group in reference to the adherent group, a reduced likelihood of being non-adherent was associated with older age (OR: 0.97, 95% CI: 0.95, 0.99), a greater number of relatives with cancer (OR: 0.80, 95% CI: 0.75, 0.86), and being seen at NYULH study site (OR: 0.42, 95% CI: 0.29, 0.60). More relatives with cancer were correlated with a lesser likelihood of being pandemic period adherent (OR: 0.89, 95% CI: 0.81, 0.97). A lower likelihood of being pre-pandemic adherent was seen in areas with less education (OR: 0.77, 95% CI: 0.62, 0.96) and NYULH study site (OR: 0.35, 95% CI: 0.22, 0.55). Finally, greater neighborhood deprivation (OR: 1.47, 95% CI: 1.08, 2.01) was associated with being non-adherent.

CONCLUSION

Breast screening during the COVID-19 pandemic was associated with being older, having more relatives with cancer, residing in areas with less educational attainment, and being seen at NYULH; non-adherence was linked with greater neighborhood deprivation. These findings may mitigate risk of clinically important screening delays at times of disruptions in a population at greater risk for breast cancer.

Community Outreach in Breast Imaging: What Radiologists Can Do to Close the Gap for the Uninsured Population

After implementation of the Affordable Care Act in 2010, the uninsured population of the United States decreased significantly. As of 2022, there were approximately 26.4 million uninsured individuals in the United States. The lack of coverage and access to services disproportionally affect minority groups in the country, reflecting the influence of the social determinants of health in their uninsured status. Use of screening mammography, an effective modality that results in early detection of and decreased mortality from breast cancer, was delayed or postponed by women of all races due to lockdowns and fear during the COVID-19 pandemic. Since then, the return to mammographic screening has lagged among minorities, further increasing their disproportionate screening gap. Radiologists-and more specifically breast imagers-must recognize these issues, as people who are uninsured and part of minority groups are diagnosed with breast cancer at later stages and have higher mortality rates, less continuity of care, and overall lower survival. The purpose of this article is to familiarize radiologists with the uninsured population, explain how they are disproportionally affected by breast cancer, and propose strategies that breast imagers can pursue to improve screening access and decrease compliance gaps for this patient population. ©RSNA, 2023 See the invited commentary by Nguyen in this issue. Quiz questions for this article are available through the Online Learning Center.

Evaluating Health Disparities in Radiology Practices in New Jersey: Exploring Radiologist Geographical Distribution

OBJECTIVE

This study aimed to determine if a disproportionate number of radiologists practice in high-income versus low-income counties in New Jersey (NJ), identify which vulnerable populations are most in need of more radiologists, and discuss how these relative differences can ultimately influence health outcomes.

METHODS

The NJ Health Care Profile, a database overseen and maintained by the Division of Consumer Affairs, was queried for all actively practicing radiologists within the state of NJ. These results were grouped into diagnostic and interventional radiologists followed by further stratification of physicians based on the counties where they currently practice. The median household income and population size of each county for 2021 were obtained from the US Census database. The ratio of the population size of each county over the number of radiologists in that county was used as a surrogate marker for disparities in patient care within the state and was compared between counties grouped by levels of income.

RESULTS

Of the 1,186 board-certified radiologists actively practicing within the state of NJ, 86% are solely diagnostic radiologists and 14% are interventional radiologists. About 44% of radiologists practice within counties that are within the top one-third of median household income in NJ, 25% practice within counties in the middle one-third, and 31% practice within counties in the bottom one-third.

CONCLUSIONS

There is a disproportionate number of radiologists practicing in high-income counties as opposed to lower-income counties. A contradiction to this trend was noted in three low-income counties: Essex, Camden, and Atlantic County, all of which exhibited low numbers of individuals per radiologist that rivaled those of higher-income counties. This finding is a concrete measure of successful radiologist recruitment efforts within these counties during the past few years to combat the increased prevalence of disease and associated complications that historically marginalized communities tend to disproportionately exhibit. Other low-income counties should look to what Essex, Camden, and Atlantic County have done to increase radiologist recruitment to levels that rival those of high-income areas.

Disparities Associated With Patient Adherence to BI-RADS 3 Assessment Follow-up Recommendations for Mammography and Ultrasound

OBJECTIVE

To assess the relationship between sociodemographic factors and adherence rates in patients with a BI-RADS 3 assessment.

METHODS

This retrospective cohort study reviewed data from all patients with a BI-RADS 3 assessment on mammography and ultrasound examinations at a single, multisite academic institution, which serves a diverse urban-suburban population, from January 1, 2015, to December 13, 2017. Appropriate follow-up was defined as returning for the first follow-up examination 3 to 9 months after the index examination. Associations between BI-RADS 3 adherence rates and patient sociodemographic characteristics were evaluated using logistic regression.

RESULTS

There were 4,038 patients in our study period; 2,437 patients (60%) had appropriate follow-up, 765 (19%) patients had delayed follow-up, and 836 patients (21%) were lost to follow-up. The overall malignancy rate was 1.4% (46 of 3,202). Older age, retired employment status, and Medicare insurance status were associated with increased adherence to BI-RADS 3 follow-up recommendations. Black race, single relationship status, Medicaid and self-pay insurance status, and living in a top 15% disadvantaged zip code were associated with decreased adherence. On multivariate analysis, older age remained associated with increased adherence and Medicaid insurance status with decreased adherence. Time between index examination and cancer diagnosis was shorter in patients who had timely follow-up (202 days [interquartile range 183-358] versus 392 days [interquartile range 365-563], P ≤ .001), although there was not a significant difference in stage at diagnosis (P = .46).

DISCUSSION

Multiple sociodemographic factors are associated with low adherence to BI-RADS 3 follow-up recommendations suggesting that more frequent and targeted interventions are needed to close disparity gaps.

Comparison of emergency pediatric breast ultrasound interpretations and management recommendations between pediatric radiologists and breast imaging radiologists

PURPOSE

Pediatric patients with breast-related symptoms often initially present to the emergency department for evaluation. While pediatric radiologists are accustomed to evaluating acute infectious and traumatic etiologies, they may be less familiar with breast-specific findings. This study compares management recommendations of pediatric breast ultrasounds performed in the emergency setting between pediatric and breast imaging radiologists.

METHODS

This retrospective cohort study reviewed data from all pediatric breast ultrasounds performed in the emergency setting from a single academic institution from 1/1/14 to 12/31/19. During the study period, 12 pediatric radiologists with experience ranging from 1 to 33 years interpreted pediatric breast ultrasounds. Three breast imaging radiologists (with 3, 8, and 25 years of experience) retrospectively reviewed each case and recorded whether further management was recommended. Differences in recommendations were compared using Fisher's exact test. Cohen's kappa was used to assess agreement between subspecialty radiologists.

RESULTS

This study included 75 pediatric patients, with mean age 13 ± 5.6 years and malignancy rate of 1.3% (1/75). Pediatric radiologists and the most experienced breast imaging radiologist had moderate agreement in management recommendations (k = 0.54). There was no significant difference in recommendations for further management between pediatric radiologists (22/75 [29.3%]) and the most experienced breast imaging radiologist (15/75 [20.0%]), p = 0.26.

CONCLUSION

Recommendations for pediatric breast complaints in the emergency setting are comparable between subspecialties.

The impact of the COVID-19 pandemic in the healthcare utilization in Korea: Analysis of a nationwide survey

BACKGROUND

COVID-19 has brought changes in daily life and increased the medical burden. This study aims to evaluate the delays in healthcare services and related factors in the general population during the COVID-19 pandemic.

METHODS

We took a nationally representative sample and conducted a mobile phone-based survey. The study was conducted anonymously. Of the 3377 subjects who consented to participate, a total of 2097 finished the survey. The primary outcome was respondents' experiences with delayed (1) health screenings, (2) non-urgent medical visits, (3) medical visits for chronic disease, and (4) emergency visits during the COVID-19 pandemic.

RESULTS

Of 2097 respondents, females, residents of the Seoul metropolitan area, those with private insurance, those without chronic diseases, smokers, and drinkers had higher risk of delays in health screening and non-urgent medical visits after adjustment. Among chronic disease patients, those who were over 60 years old (adjusted odds ratio 0.36, 95% CI 0.14-0.92) showed lower risk of delayed medical visit. Residents of the Seoul metropolitan area, those with private insurance, smokers, and drinkers were all associated with experiencing delayed health screening and non-urgent medical visits had higher risk of delays in chronic disease visits and emergent medical visits.

CONCLUSIONS

Delayed access to healthcare services is associated with poor outcomes and may cause different complications. Efforts are needed to prevent delays in medical use due to infectious diseases such as COVID-19. Considering the possibility of the emergence of infectious diseases, various countermeasures are needed to prevent delays in medical visit.