Outcomes by Race in Breast Cancer Screening With Digital Breast Tomosynthesis Versus Digital Mammography

Disparities in race, ethnicity, sex, and age inclusion in pancreatic cancer screening studies: a systematic review and meta-analysis

BACKGROUND AND AIMS

Substantial differences exist in pancreatic cancer outcomes across ethnoracial stratifications. We sought to assess racial, ethnic, sex, and age reporting and inclusion of participants in pancreatic cancer screening studies.

METHODS

A systematic search of Cochrane Library, Ovid Embase, Google Scholar, Ovid MEDLINE, PubMed, Scopus, and Web of Science Core Collection from inception to 2022 was conducted. Original studies on pancreatic cancer screening were identified and assessed for reporting and inclusion on race, ethnicity, sex, and age. The pooled proportions of study participants for these characteristics were calculated and compared with population-based benchmarks.

RESULTS

Among 27 eligible pancreatic cancer screening studies, 26 reported data on either sex, race, or ethnicity, with a total of 5273 participants. Information on participant sex was reported by 26, race by 12, and ethnicity by 8 studies. Participants in these studies were almost all white (pooled proportion, 93.1%; 95% confidence interval [CI], 89.7-96.4) and non-Latino (pooled proportion, 97.4%; 95% CI, 94.0-100), and these groups were over-represented when compared with the general population. Female participants were well represented, with a pooled proportion of 63.2% (95% CI, 59.9-66.6). When reported, mean or median participant age was <60 years. Meta-regression revealed higher proportions of female participants in studies from the United States (P = .002). No association between increasing participation of racial or ethnic under-represented populations and study quality, ascending year of publication, or source of study funding was noted.

CONCLUSIONS

Substantial disparities in race, ethnicity, sex, and age reporting and inclusion in pancreatic cancer studies were noted, even among high-quality and publicly funded studies.

Disparities in the Use of Preoperative Breast Magnetic Resonance Imaging After Breast Cancer Diagnosis

PURPOSE

Preoperative magnetic resonance imaging (MRI) after breast cancer diagnosis is increasingly used to improve locoregional staging, particularly among women with dense breasts, extensive ductal carcinoma in situ, and lobular histology. The goals of this study were to (1) assess whether use of preoperative MRI varies by race and insurance type; and (2) determine whether preoperative MRI is associated with downstream surgical management.

MATERIALS AND METHODS

We performed a retrospective cohort study of women with stage 0-III breast cancer who were treated with surgical resection within our academic health system (2016-2019). Patients were categorized by race and insurance type. The primary outcome was receipt of preoperative MRI. Secondary outcomes included surgery extent (lumpectomy v mastectomy) and receipt of a second operation.

RESULTS

A total of 1,410 women (27% Black, 73% White; 67% private insurance, 26% Medicare, 6% Medicaid) were included. Black patients were significantly less likely to undergo preoperative MRI than White patients (odds ratio [OR], 0.54 [95% CI, 0.38 to 0.76]; P < .001). There was no association between insurance type and preoperative MRI (Medicare v private: OR, 0.77 [95% CI, 0.52 to 1.15]; P = .208; Medicaid v private: OR, 0.67 [95% CI, 0.36 to 1.25]; P = .210). White patients who underwent preoperative MRI were less likely to undergo lumpectomy versus those who did not (OR, 0.53 [95% CI, 0.37 to 0.76]; P < .001). Likelihood of re-excision was lower for Black women who had undergone MRI versus those who had not (OR, 0.43 [95% CI, 0.20 to 0.93]; P = .031).

CONCLUSION

Black patients were less likely than White patients to undergo preoperative MRI, yet Black women who underwent MRI were less likely to require re-excision. Standardizing preoperative MRI use may mitigate provider- and system-level biases and promote more equitable care.

Impact of Interruptions During Screening Mammography on Physician Well-Being and Patient Care

OBJECTIVE

To assess the impact of interruptions on radiologists' efficiency, accuracy, and job satisfaction in interpreting screening mammograms.

METHODS

This institutional review board-approved retrospective reader study recruited nine breast radiologists from a single academic institution [name withheld] to interpret 150 screening mammograms performed between December 1, 2008, and December 31, 2015 under two different reading conditions, as follows: (1) uninterrupted batch reading and (2) interrupted reading. The 150 cases consisted of 125 normal mammograms and 25 mammograms with subtle breast cancers. Cases were divided into two groups of 75 cases each (cohort 1 and cohort 2), with a comparable distribution of cancer cases. Four rounds of 75 cases each were conducted with a 6-week washout period between rounds 2 and 3. After completing each interpretation session, readers completed a seven-question survey, assessing perceptions of mental and physical effort, level of frustration, and performance satisfaction. Clinical performance metrics (reading time, recall rate, sensitivity, specificity, accuracy, and positive predictive value 1) were calculated.

RESULTS

Recall rates were significantly (P = .04) higher during interrupted reading sessions (35.4%) than they were during uninterrupted batch reading sessions (31.4%). Accuracy was significantly (P = .049) worse in the interrupted reading sessions (69.5%), compared with uninterrupted sessions (73.6%). Differences in overall image interpretation times were not statistically significant (P = .065). Compared with uninterrupted batch reading sessions, readers during interrupted sessions reported feeling busier (P < .001), encountered higher levels of cognitive demand (P = .005), experienced elevated levels of physical fatigue (P = .004), and expressed lower levels of satisfaction with their performance (P = .041).

CONCLUSION

Interruptions during interpretation of screening mammography have deleterious effects on physician performance and their sense of well-being.

The promise and challenges of multi-cancer early detection assays for reducing cancer disparities

Since improvements in cancer screening, diagnosis, and therapeutics, cancer disparities have existed. Marginalized populations (e.g., racial and ethnic minorities, sexual and gender minorities, lower-income individuals, those living in rural areas, and persons living with disabilities) have worse cancer-related outcomes. Early detection of cancer substantially improves outcomes, yet uptake of recommended cancer screenings varies widely. Multi-cancer early detection (MCED) tests use biomarkers in the blood to detect two or more cancers in a single assay. These assays show potential for population screening for some cancers-including those disproportionally affecting marginalized communities. MCEDs may also reduce access barriers to early detection, a primary factor in cancer-related outcome disparities. However, for the promise of MCEDs to be realized, during their development and testing, we are obligated to be cautious to design them in a way that reduces the myriad of structural, systematic, and personal barriers contributing to disparities. Further, they must not create new barriers. Population studies and clinical trials should include diverse populations, and tests must work equally well in all populations. The tests must be affordable. It is critical that we establish trust within marginalized communities, the healthcare system, and the MCED tests themselves. Tests should be expected to have high specificity, as a positive MCED finding will trigger additional, oftentimes invasive and expensive, imaging or other diagnosis tests and/or biopsies. Finally, there should be a way to help all individuals with a positive test to navigate the system for follow-up diagnostics and treatment, if warranted, that is accessible to all.

A Public Health Emergency: Breast Cancer Among Black Communities in the United States

While Black people have a similar incidence of breast cancer compared to White people, they have a 40% increased death rate. Black people are more likely to be diagnosed with aggressive subtypes such as triple-negative breast cancer. However, despite biological factors, systemic racism and social determinants of health create delays in care and barriers to treatment. While genetic testing holds incredible promise for Black people, uptake remains low and results may be challenging to interpret. There is a need for more robust, multidisciplinary, and antiracist interventions to reverse breast cancer-related racial disparities.

Breast Cancer Disparity and Outcomes in Underserved Women

Women in the United States who continue to face obstacles accessing health care are frequently termed an underserved population. Safety-net health care systems play a crucial role in mitigating health disparities and reducing burdens of disease, such as breast cancer, for underserved women. Disparities in health care are driven by various factors, including race and ethnicity, as well as socioeconomic factors that affect education, employment, housing, insurance status, and access to health care. Underserved women are more likely to be uninsured or underinsured throughout their lifetimes. Hence they have greater difficulty gaining access to breast cancer screening and are less likely to undergo supplemental imaging when needed. Therefore, underserved women often experience significant delays in the diagnosis and treatment of breast cancer, leading to higher mortality rates. Addressing disparities requires a multifaceted approach, with formal care coordination to help at-risk women navigate through screening, diagnosis, and treatment. Mobile mammography units and community outreach programs can be leveraged to increase community access and engagement, as well as improve health literacy with educational initiatives. Radiology-community partnerships, comprised of imaging practices partnered with local businesses, faith-based organizations, homeless shelters, and public service departments, are essential to establish culturally competent breast imaging care, with the goal of equitable access to early diagnosis and contemporary treatment. Published under a CC BY 4.0 license. Test Your Knowledge questions are available in the Online Learning Center. See the invited commentary by Leung in this issue.

Landmark Series: The Cancer Genome Atlas and the Study of Breast Cancer Disparities

Race-related variation in breast cancer incidence and mortality are well-documented in the United States. The effect of genetic ancestry on disparities in tumor genomics, risk factors, treatment, and outcomes of breast cancer is less understood. The Cancer Genome Atlas (TCGA) is a publicly available resource that has allowed for the recent emergence of genome analysis research seeking to characterize tumor DNA and protein expression by ancestry as well as the social construction of race and ethnicity. Results from TCGA based studies support previous clinical evidence that demonstrates that American women with African ancestry are more likely to be afflicted with breast cancers featuring aggressive biology and poorer outcomes compared with women with other backgrounds. Data from TCGA based studies suggest that Asian women have tumors with favorable immune microenvironments and may experience better disease-free survival compared with white Americans. TCGA contains limited data on Hispanic/Latinx patients due to small sample size. Overall, TCGA provides important opportunities to define the molecular, biologic, and germline genetic factors that contribute to breast cancer disparities.

Mammography screening beliefs and barriers through the lens of Black women during the COVID-19 pandemic

BACKGROUND

Mammography is an effective screening tool that leads to decreased breast cancer mortality, yet minority women continue to experience barriers. The coronavirus disease 2019 (COVID-19) pandemic has been proven to have negatively affected minority communities, yet its effect on mammography screening habits in Black women is uncertain. The purpose of this study was to evaluate breast cancer mammography screening habits and barriers for Black women in two northeast communities amid the COVID-19 pandemic.

METHODS

The study participants were Black women aged 40 years or older who were recruited from community outreach initiatives. Study coordinators conducted telephone surveys to determine mammography screening behaviors, perceptions, and psychosocial factors.

RESULTS

Two hundred seventy-seven surveys were completed. Two hundred fifty-six patients who reported ever having a mammogram became the study population of interest. One hundred seventy-four of these patients (68%) reported having a mammogram within the past year (nondelayed), and 82 (32%) had a mammogram more than a year ago (delayed). Only thirty-one of the delayed participants (37.8%) had private insurance. There was a significant difference in the mean score for mammography screening perceived barriers for nondelayed participants (mean = 9.9, standard deviation [SD] = 3.6) versus delayed participants (mean = 11.2, SD = 4.3, p = .03). There was also a significant difference in the mean score when they were asked, "How likely is it that 'other health problems would keep you from having a mammogram'?" (p = .002).

CONCLUSIONS

Barriers to mammography screening for Black women during the COVID-19 era include insurance, competing health issues, and perceptions of screening. Community outreach efforts should concentrate on building trust and collaborating with organizations to improve screening despite the COVID-19 pandemic.

Mammographic Screening in Routine Practice: Multisite Study of Digital Breast Tomosynthesis and Digital Mammography Screenings

Background The use of digital breast tomosynthesis (DBT) is increasing over digital mammography (DM) following studies demonstrating lower recall rates (RRs) and higher cancer detection rates (CDRs). However, inconsistent interpretation of evidence on the risks and benefits of mammography has resulted in varying screening mammography recommendations. Purpose To evaluate screening outcomes among women in the United States who underwent routine DM or DBT mammographic screening. Materials and Methods This retrospective cohort study included women aged 40-79 years who underwent DM or DBT screening mammograms between January 2014 and December 2020. Outcomes of RR, CDR, positive predictive value of recall (PPV1), biopsy rate, and positive predictive value of biopsy (PPV3) were compared between DM and DBT with use of adjusted multivariable logistic regression models. Results A total of 2 528 063 screening mammograms from 1 100 447 women (mean age, 57 years ± 10 [SD]) were included. In crude analyses, DBT (1 693 727 screening mammograms vs 834 336 DM screening mammograms) demonstrated lower RR (10.3% [95% CI: 10.3, 10.4] for DM vs 8.9% [95% CI: 8.9, 9.0] for DBT; P < .001) and higher CDR (4.5 of 1000 screening mammograms [95% CI: 4.3, 4.6] vs 5.3 of 1000 [95% CI: 5.2, 5.5]; P < .001), PPV1 (4.3% [95% CI: 4.2, 4.5] vs 5.9% [95% CI: 5.7, 6.0]; P < .001), and biopsy rates (14.5 of 1000 screening mammograms [95% CI: 14.2, 14.7] vs 17.6 of 1000 [95% CI: 17.4, 17.8]; P < .001). PPV3 was similar between cohorts (30.0% [95% CI: 29.2, 30.9] for DM vs 29.3% [95% CI: 28.7, 29.9] for DBT; P = .16). After adjustment for age, breast density, site, and index year, associations remained stable with respect to statistical significance. Conclusion Women undergoing digital breast tomosynthesis had improved screening mammography outcomes compared with women who underwent digital mammography. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Bae and Seo in this issue.

Relationship between Race and Access to Newer Mammographic Technology in Women with Medicare Insurance

Background Racial disparities in breast cancer mortality have been reported. Mammographic technology has undergone two major technology transitions since 2000: first, the transition from screen-film mammography (SFM) to full-field digital mammography (FFDM) and second, the transition to digital breast tomosynthesis (DBT). Purpose To examine the relationship between use of newer mammographic technology and race in women receiving mammography services. Materials and Methods This was a multiyear (January 2005 to December 2020) retrospective study of women aged 40-89 years with Medicare fee-for-service insurance who underwent mammography. Data were obtained using a 5% research identifiable sample of all Medicare fee-for-service beneficiaries. Within-institution and comparable-institution use of mammographic technology between Black women or women of other races and White women were assessed with multivariable logistic and linear regression, respectively, adjusted for age, race, Charlson comorbidity index, per capita income, urbanicity, and institutional capability. Results Between 2005 and 2020, there were 4 028 696 institutional mammography claims for women (mean age, 72 years ± 8 [SD]). Within an institution, the odds ratio (OR) of Black women receiving digital mammography rather than SFM in 2005 was 0.80 (95% CI: 0.70, 0.91; P < .001) when compared with White women; these differences remained until 2009. Compared with White women, the use of DBT within an institution was less likely for Black women from 2015 to 2020 (OR, 0.84; 95% CI: 0.81, 0.87; P < .001). Across institutions, there were racial differences in digital mammography use, which followed a U-shaped pattern, and the differences peaked at 3.8 percentage points less for Black compared with White women (95% CI: -6.1, -1.6; P = .001) in 2011 and then decreased to 1.2 percentage points less (95% CI: -2.2, -0.2; P = .02) in 2016. Conclusion In the Medicare population, Black women had less access to new mammographic imaging technology compared with White women for both the transition from screen-film mammography to digital mammography and then for the transition to digital breast tomosynthesis. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Lee and Lawson in this issue.

The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review

Breast cancer is among the most common and fatal diseases for women, and no permanent treatment has been discovered. Thus, early detection is a crucial step to control and cure breast cancer that can save the lives of millions of women. For example, in 2020, more than 65% of breast cancer patients were diagnosed in an early stage of cancer, from which all survived. Although early detection is the most effective approach for cancer treatment, breast cancer screening conducted by radiologists is very expensive and time-consuming. More importantly, conventional methods of analyzing breast cancer images suffer from high false-detection rates. Different breast cancer imaging modalities are used to extract and analyze the key features affecting the diagnosis and treatment of breast cancer. These imaging modalities can be divided into subgroups such as mammograms, ultrasound, magnetic resonance imaging, histopathological images, or any combination of them. Radiologists or pathologists analyze images produced by these methods manually, which leads to an increase in the risk of wrong decisions for cancer detection. Thus, the utilization of new automatic methods to analyze all kinds of breast screening images to assist radiologists to interpret images is required. Recently, artificial intelligence (AI) has been widely utilized to automatically improve the early detection and treatment of different types of cancer, specifically breast cancer, thereby enhancing the survival chance of patients. Advances in AI algorithms, such as deep learning, and the availability of datasets obtained from various imaging modalities have opened an opportunity to surpass the limitations of current breast cancer analysis methods. In this article, we first review breast cancer imaging modalities, and their strengths and limitations. Then, we explore and summarize the most recent studies that employed AI in breast cancer detection using various breast imaging modalities. In addition, we report available datasets on the breast-cancer imaging modalities which are important in developing AI-based algorithms and training deep learning models. In conclusion, this review paper tries to provide a comprehensive resource to help researchers working in breast cancer imaging analysis.

Cancer statistics for African American/Black People 2022

African American/Black individuals have a disproportionate cancer burden, including the highest mortality and the lowest survival of any racial/ethnic group for most cancers. Every 3 years, the American Cancer Society estimates the number of new cancer cases and deaths for Black people in the United States and compiles the most recent data on cancer incidence (herein through 2018), mortality (through 2019), survival, screening, and risk factors using population-based data from the National Cancer Institute and the Centers for Disease Control and Prevention. In 2022, there will be approximately 224,080 new cancer cases and 73,680 cancer deaths among Black people in the United States. During the most recent 5-year period, Black men had a 6% higher incidence rate but 19% higher mortality than White men overall, including an approximately 2-fold higher risk of death from myeloma, stomach cancer, and prostate cancer. The overall cancer mortality disparity is narrowing between Black and White men because of a steeper drop in Black men for lung and prostate cancers. However, the decline in prostate cancer mortality in Black men slowed from 5% annually during 2010 through 2014 to 1.3% during 2015 through 2019, likely reflecting the 5% annual increase in advanced-stage diagnoses since 2012. Black women have an 8% lower incidence rate than White women but a 12% higher mortality; further, mortality rates are 2-fold higher for endometrial cancer and 41% higher for breast cancer despite similar or lower incidence rates. The wide breast cancer disparity reflects both later stage diagnosis (57% localized stage vs 67% in White women) and lower 5-year survival overall (82% vs 92%, respectively) and for every stage of disease (eg, 20% vs 30%, respectively, for distant stage). Breast cancer surpassed lung cancer as the leading cause of cancer death among Black women in 2019. Targeted interventions are needed to reduce stark cancer inequalities in the Black community.

US Cancer Screening Recommendations: Developments and the Impact of COVID-19

The USPSTF and ACS recommend screening for breast, cervical, colorectal, and lung cancers. Rates of cancer screening, diagnosis, and treatment decreased significantly in the US and other developed nations during the height of the COVID-19 pandemic and lockdown (April 2020) and have since recovered, although not to baseline levels in many cases. For breast cancer, the USPSTF recommends biennial screening with mammography for women aged 50−74, while the ACS recommends annual screening for women aged 45−54, who may transition to biennial after 55. Minority and rural populations have lower rates of screening and lower utilization of DBT, which offers superior sensitivity and specificity. Among 20 US health networks in April 2020, mammography rates were down 89.2% and new breast cancer diagnoses down by 50.5%. For cervical cancer, the USPSTF recommends cervical cytology every three years for women 21−65, or cytology+hrHPV co-testing every five years for women aged 30−65. Cervical cancer screening rates declined by 87% in April 2020 and recovered to a 40% decline by June 2020, with American Indians and Asians most severely affected. For colorectal cancer (CRC), the USPSTF and ACS recommend screening for ages 45−75, recently lowered from a starting age of 50. Most commonly-used modalities include annual FIT testing, FIT+DNA testing every three years, and colonoscopy every ten years, with shorter repeat if polyps are found. In the US, CRC screenings were down by 79−84.5% in April 2020 across several retrospective studies. Patient encounters for CRC were down by 39.9%, and a UK-based model predicted that 5-year-survival would decrease by 6.4%. The USPSTF recommends screening low dose CT scans (LDCTs) for ages 50−80 with a >20 pack-year smoking history who have smoked within the past 15 years. In April 2020, screening LDCTs fell by 72−78% at one US institution and lung cancer diagnoses were down 39.1%.

Redefining precision cancer prevention to promote health equity

Precision cancer prevention as it is currently envisioned is a targeted, molecular-based approach to intercept carcinogenesis before cancer develops or before it becomes untreatable. Unfortunately, due to systemic biases, current precision cancer prevention interventions might not be effective in all populations, especially in minoritized communities. In addition, not all cancer risk is attributable to genetic or even biological factors, but includes social determinants of health (SDH). Here, we propose a broader framework for precision cancer prevention, anchored in optimizing the benefits to harms for all people. We propose that precision cancer prevention considers not only what is being delivered, but also for whom, where, and how, with a goal of achieving cancer prevention health equity.

Racial and Ethnic Disparities in Breast Cancer: A Collaboration Between the American College of Radiology Commissions on Women and Diversity and Breast Imaging

Since the 1980s, the mortality rate from breast cancer in the United States has dropped almost 40%. The quality of life and survival gains from early detection and improved treatment have not been shared equally by all ethnic groups, however. Many factors, including social determinants of health, unequal access to screening and oncologic care, and differences in incidence, tumor biology, and risk factors, have contributed to these unequal breast cancer outcomes. As breast radiologists approach their own patients, they must be aware that minority women are disproportionately affected by breast cancer at earlier ages and that non-Hispanic Black and Hispanic women are impacted by greater severity of disease than non-Hispanic White women. Guidelines that do not include women younger than 50 and/or have longer intervals between examinations could have a disproportionately negative impact on minority women. In addition, the COVID-19 pandemic could worsen existing disparities in breast cancer mortality. Increased awareness and targeted efforts to identify and mitigate all of the underlying causes of breast cancer disparities will be necessary to realize the maximum benefit of screening, diagnosis, and treatment and to optimize quality of life and mortality gains for all women. Breast radiologists, as leaders in breast cancer care, have the opportunity to address and reduce some of these disparities for their patients and communities.

King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)

The current era is characterized by the rapidly increasing use of computer-aided diagnosis (CAD) systems in the medical field. These systems need a variety of datasets to help develop, evaluate, and compare their performances fairly. Physicians indicated that breast anatomy, especially dense ones, and the probability of breast cancer and tumor development, vary highly depending on race. Researchers reported that breast cancer risk factors are related to culture and society. Thus, there is a massive need for a local dataset representing breast cancer in our region to help develop and evaluate automatic breast cancer CAD systems. This paper presents a public mammogram dataset called King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD) version 1. To our knowledge, KAU-BCMD is the first dataset in Saudi Arabia that deals with a large number of mammogram scans. The dataset was collected from the Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer at King Abdulaziz University. It contains 1416 cases. Each case has two views for both the right and left breasts, resulting in 5662 images based on the breast imaging reporting and data system. It also contains 205 ultrasound cases corresponding to a part of the mammogram cases, with 405 images as a total. The dataset was annotated and reviewed by three different radiologists. Our dataset is a promising dataset that contains different imaging modalities for breast cancer with different cancer grades for Saudi women.