Breast Cancer Screening Research Articles

Application of AI-assisted Breast Ultrasound Technology in Breast Cancer Screening

To explore the application effect of artificial intelligence-assisted breast screening ultrasound technology in breast cancer screening. Methods 170 suspected breast cancer patients who underwent breast ultrasound examination in our hospital from July 2022 to June 2024 were retrospectively analyzed, and the results of breast biopsy were taken as the gold standard by physician analysis, artificial intelligence analysis, and combined artificial intelligence analysis. To compare the application effect of ultrasonography in breast cancer screening in three ways. Results Among 170 suspected breast cancer patients, 132 were positive, 38 were negative, 113 were true positive, and 29 were true negative. Sensitivity was 85.61%, specificity was 76.32%, consistency was 83.53%, positive predictive value was 92.62%, and negative predictive value was 60.42%. There were 124 true positive cases and 33 true negative cases, the sensitivity was 93.94%, the specificity was 86.84%, the consistency was 92.35%, the positive predictive value was 96.12%, and the negative predictive value was 80.49%. The results showed that 131 cases were true positive, and 37 were true negative. The sensitivity was 99.24%, the specificity was 97.37%, the consistency was 98.82%, the positive predictive value was 99.24%, and the negative predictive value was 97.37%. Taking the results of breast puncture biopsy as the "gold standard," the diagnostic sensitivity, specificity, consistency, positive predictive value, and negative predictive value of physician-combined artificial intelligence analysis were significantly higher than those of physician-only analysis or artificial intelligence analysis. Conclusion The application of AI-assisted breast screening ultrasound technology to breast cancer screening in our hospital not only helps to realize the consistency and accuracy of early identification and diagnosis of breast cancer so that patients can get more accurate treatment but also helps to reduce the workload of radiologists.

Culture, community, and cancer: Understandings of breast cancer from a non-lived experience among women living in Soweto.

Individual perceptions compounded with socio-cultural beliefs and health system factors are key determinants of people's health seeking behavior and are widely cited as the causes of delayed breast cancer diagnosis among women from structurally vulnerable settings. Asking: "how do women with a non-lived experience of cancer understand the disease and, what informs their health seeking behaviors?", we explored individual, sociocultural and health system elements from a conceptual model derived from the Socioecological, Health Belief and Cancer Stigma Frameworks, to understand perspectives of breast cancer in a South African urban community setting. Using a deductive approach, we conducted a qualitative study consisting of 6 focus group discussions among 34 women from Soweto, Johannesburg (aged 35-74 years) and followed-up with 20 semi-structured in-depth interviews. Findings revealed some awareness of breast and other cancers, but confusion and gaps in understanding of the disease, resulting in socio-culturally influenced misperceptions of risks, causes, and outcomes following treatment of breast cancer. This fueled perceptions of profound fear and stigma against people with breast and other cancers. These findings together with participant perceptions of primary healthcare providers being unwelcoming, under-resourced, and insufficiently trained to deal with breast cancer, resulted in women reporting being reluctant to participating in screening/early detection care seeking behavior. They only accessed primary care when experiencing extreme pain or ill-health. Participants suggested as solutions for future interventions, the need for sustained community engagement, harnessing existing clinic and community stakeholders and resources to provide clear and understandable breast cancer information and encouragement for screening uptake. Health literacy gaps surrounding breast cancer fuels socio-culturally influenced misperceptions, fear, stigma, and fatalism among community women from Soweto, South Africa. Women perceive primary care providers of having insufficient knowledge, skills, and resources to provide effective breast cancer screening services. Participants suggested the need for greater community engagement involving primary clinics and existing community stakeholders working hand in hand. Clear, understandable, and consistent information about breast cancer must be regularly disseminated and communities must be regularly encouraged to utilise breast cancer screening services.

Barriers and facilitators to breast cancer screening among high-risk women: a qualitative study.

Women with greater than 20-25% lifetime breast cancer risk are recommended to have breast cancer screening with annual mammogram and supplemental breast MRI. However, few women follow these screening recommendations. The objective of this study was to identify barriers and facilitators of screening among women at high risk for breast cancer, guided by the Health Services Utilization Model (HSUM). Unaffected high-risk women (N=63) completed semi-structured qualitative interviews exploring their experiences with breast cancer screening. Interviews were audio recorded, transcribed verbatim, and analyzed using a combined deductive and inductive approach. Most participants (84%) had received a screening mammogram; fewer (33%) had received a screening breast MRI. Only 14% had received neither screening. In line with the HSUM, qualitative analysis identified predisposing factors, enabling factors, and need factors associated with receipt of breast cancer screening. Enabling factors - including financial burden, logistic barriers, social support, and care coordination - were most frequently discussed. Predisposing factors included knowledge, health beliefs, and self-advocacy. Need factors included healthcare provider recommendation, family history of breast cancer, and personal medical history. Although HSUM themes were consistent for both mammography and breast MRI, participants did highlight several important differences in barriers and facilitators between the two screening modalities. Barriers and enabling factors associated with supplemental screening for high-risk women represent possible intervention targets. Future research is needed to develop and test multilevel interventions targeting these factors, with the ultimate goal of increasing access to supplemental screening for high-risk women.

Breast Cancer Screening Using Mammography, Digital Breast Tomosynthesis, and Magnetic Resonance Imaging by Breast Density

Information on long-term benefits and harms of screening with digital breast tomosynthesis (DBT) with or without supplemental breast magnetic resonance imaging (MRI) is needed for clinical and policy discussions, particularly for patients with dense breasts. To project long-term population-based outcomes for breast cancer mammography screening strategies (DBT or digital mammography) with or without supplemental MRI by breast density. Collaborative modeling using 3 Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer simulation models informed by US Breast Cancer Surveillance Consortium data. Simulated women born in 1980 with average breast cancer risk were included. Modeling analyses were conducted from January 2020 to December 2023. Annual or biennial mammography screening with or without supplemental MRI by breast density starting at ages 40, 45, or 50 years through age 74 years. Lifetime breast cancer deaths averted, false-positive recall and false-positive biopsy recommendations per 1000 simulated women followed-up from age 40 years to death summarized as means and ranges across models. Biennial DBT screening for all simulated women started at age 50 vs 40 years averted 7.4 vs 8.5 breast cancer deaths, respectively, and led to 884 vs 1392 false-positive recalls and 151 vs 221 false-positive biopsy recommendations, respectively. Biennial digital mammography had similar deaths averted and slightly more false-positive test results than DBT screening. Adding MRI for women with extremely dense breasts to biennial DBT screening for women aged 50 to 74 years increased deaths averted (7.6 vs 7.4), false-positive recalls (919 vs 884), and false-positive biopsy recommendations (180 vs 151). Extending supplemental MRI to women with heterogeneously or extremely dense breasts further increased deaths averted (8.0 vs 7.4), false-positive recalls (1088 vs 884), and false-positive biopsy recommendations (343 vs 151). The same strategy for women aged 40 to 74 years averted 9.5 deaths but led to 1850 false-positive recalls and 628 false-positive biopsy recommendations. Annual screening modestly increased estimated deaths averted but markedly increased estimated false-positive results. In this model-based comparative effectiveness analysis, supplemental MRI for women with dense breasts added to DBT screening led to greater benefits and increased harms. The balance of this trade-off for supplemental MRI use was more favorable when MRI was targeted to women with extremely dense breasts who comprise approximately 10% of the population.

Inhibition of miR-10b treats metastatic breast cancer by targeting stem cell-like properties.

Despite advances in breast cancer screening and treatment, prognosis for metastatic disease remains dismal at 30% five-year survival. This is due, in large, to the failure of current therapeutics to target properties unique to metastatic cells. One of the drivers of metastasis is miR-10b, a small noncoding RNA implicated in cancer cell invasion, migration, viability, and proliferation. We have developed a nanodrug, termed MN-anti-miR10b, that delivers anti-miR-10b antisense oligomers to cancer cells. In mouse models of metastatic triple-negative breast cancer, MN-anti-miR10b has been shown to prevent onset of metastasis and eliminate existing metastases in combination with chemotherapy, even after treatment has been stopped. Recent studies have implicated miR-10b in conferring stem cell-like properties onto cancer cells, such as chemoresistance. In this study, we show transcriptional evidence that inhibition of miR-10b with MN-anti-miR10b activates developmental processes in cancer cells and that stem-like cancer cells have increased miR-10b expression. We then demonstrate that treatment of breast cancer cells with MN-anti-miR10b reduces their stemness, confirming that these properties make metastatic cells susceptible to the nanodrug actions. Collectively, these findings indicate that inhibition of miR-10b functions to impair breast cancer cell stemness, positioning MN-anti-miR10b as an effective treatment option for stem-like breast cancer subtypes.

Enhancing Breast Cancer Detection through Advanced AI-Driven Ultrasound Technology: A Comprehensive Evaluation of Vis-BUS.

This study aims to enhance breast cancer detection accuracy through an AI-driven ultrasound tool, Vis-BUS, developed by Barreleye Inc., Seoul, South Korea. Vis-BUS incorporates Lesion Detection AI (LD-AI) and Lesion Analysis AI (LA-AI), along with a Cancer Probability Score (CPS), to differentiate between benign and malignant breast lesions. A retrospective analysis was conducted on 258 breast ultrasound examinations to evaluate Vis-BUS's performance. The primary methods included the application of LD-AI and LA-AI to b-mode ultrasound images and the generation of CPS for each lesion. Diagnostic accuracy was assessed using metrics such as the Area Under the Receiver Operating Characteristic curve (AUROC) and the Area Under the Precision-Recall curve (AUPRC). The study found that Vis-BUS achieved high diagnostic accuracy, with an AUROC of 0.964 and an AUPRC of 0.967, indicating its effectiveness in distinguishing between benign and malignant lesions. Logistic regression analysis identified that 'Fatty' lesion density had an extremely high odds ratio (OR) of 27.7781, suggesting potential convergence issues. The 'Unknown' density category had an OR of 0.3185, indicating a lower likelihood of correct classification. Medium and large lesion sizes were associated with lower likelihoods of correct classification, with ORs of 0.7891 and 0.8014, respectively. The presence of microcalcifications showed an OR of 1.360. Among Breast Imaging-Reporting and Data System categories, category C5 had a significantly higher OR of 10.173, reflecting a higher likelihood of correct classification. Vis-BUS significantly improves diagnostic precision and supports clinical decision-making in breast cancer screening. However, further refinement is needed in areas like lesion density characterization and calcification detection to optimize its performance.

A Scoping Review of Obstetrics and Gynecology Curricula in Primary Care Residency Programs.

While Women's Health (WH) is a priority for primary care, (Family Medicine (FM), Internal Medicine (IM), Pediatrics (Peds), and combined Medicine/Pediatrics (Med/Peds)), residency curricula remain heterogeneous with deficits in graduates' WH expertise and skills. The overall objective of this study was to assess the quality of WH curricula at primary care residency programs in the United States (US), with a focus on topics in obstetrics and gynecology (OBGYN). PubMed®, ERIC, The Cochrane Library, MedEdPORTAL, and professional organization websites were systematically searched in 2019 and updated in 2021. Included studies described OBGYN educational curricula in US primary care residency programs. Following abstract screening and full-text review, data from eligible studies was abstracted and quality assessed using the Medical Education Research Study Quality Instrument (MERSQI). A total of 109 studies met the inclusion criteria. Over a quarter of studies were interdepartmental or interdisciplinary. The most common single-department studies were IM (38%) and FM (26%). Twenty (25%) studies addressed comprehensive OBGYN curricula; the most common individual topics were cervical and breast cancer screening (31%) and contraception (16%). Most studies utilized multiple instructional modalities, most commonly didactics (54%), clinical experiences (41%), and/or simulation (21%). Most studies included self-reported outcomes by residents (70%), with few (11%) reporting higher-level assessments (i.e., patient, or clinical outcomes). Most studies were single-group pre- and post-test (42%) with few randomized controlled trials (4%). The mean MERSQI score for studies with sufficient data (90%) was 9.8 (range 3 to 15.5). OBGYN educational curricula for primary care trainees in the US was varied with gaps in represented residents, content, assessments, and study quality.

Evaluating Supplemental Breast Cancer Screening With Simulation Modeling

Evaluating Supplemental Breast Cancer Screening With Simulation Modeling

Effect of Smoking on the Development of Migraine in Women: Nationwide Cohort Study in South Korea.

Smoking is known to be a significant risk factor for various diseases. Migraine, a condition requiring careful lifestyle management, currently lacks specific guidelines advocating for smoking cessation as a preventive measure. Although cross-sectional studies have suggested a potential link between smoking and an increased risk of migraine, the findings have been inconsistent and conflicting. To date, there has been no longitudinal study which investigated the effect of smoking on the risk of migraine in a prospective setting. This longitudinal study aimed to investigate the impact of smoking on the incidence of migraine in women and examine the modifying effect of menopausal status. Using nationally representative National Health Insurance Service (NHIS) data, women aged ≥40 years who participated in national breast cancer screening in 2009 were followed-up until the end of 2019. Baseline data on smoking status (non-, ex-, and current smoker) as well as the duration and amount of cigarette smoking were collected. A Cox proportional hazards regression model was used to examine the independent effect of smoking on the risk of incident migraine after adjusting for demographics, comorbidities, and female reproductive factors. The results were stratified by menopausal status, and an interaction analysis (smoking × menopause) was performed. In total, 1,827,129 women were included in the analysis. Women with a history of smoking exhibited a higher risk of developing migraine, compared with nonsmokers. Specifically, a higher risk of migraine was observed in women with past (adjusted hazard ratio [HR] 1.044, 95% CI 1.000-1.089) and current cigarette use (adjusted HR 1.050, 95% CI, 1.023-1.079) than in nonsmokers. The effect was greater in premenopausal women (adjusted HR 1.140, 95% CI, 1.108-1.172) than in postmenopausal women (adjusted HR 1.045, 95% CI 1.018-1.073; P<.001). The risk increased with an increased amount of smoking, with a greater association in premenopausal women (P<.001). Smoking increases the risk of migraine in women, with a dose-dependent relationship. Menopause modifies this effect. Our findings suggest that smoking is an important modifiable risk factor of migraine, with a higher impact in premenopausal women. The interaction between smoking and estrogen may increase the vulnerability of the migraine brain.

Integrated and Interoperable Platform for Detecting Masses on Mammograms.

The screening and diagnosis of breast cancer is a major public health issue. Although deep learning models are proving highly effective in breast imaging, these models are not yet readily accessible to a wide audience. In order to promote the widespread dissemination of such models, this article introduces a free and open-source, integrated platform for the automated detection of masses on mammograms. A state-of-the-art RetinaNet model is trained on this task and the results of the inference are encoded using the DICOM-SR interoperable format. These contributions present a significant step towards overcoming the accessibility gap in deep learning for breast imaging.

Women’s experiences of risk-stratified breast cancer screening in the MyPeBS trial: a qualitative comparative study across two European countries

Objective Risk-stratification should improve the benefits-to-harms ratio for breast screening, whereby higher-risk women receive additional screening and low-risk women are screened less. This study investigated the effects of healthcare context by comparing how women in England and France experienced risk-based breast screening. Methods and measures Fifty-two women were purposively sampled from participants who underwent risk-based screening in the MyPeBS trial. Women received objectively-derived 5-year breast cancer risk estimates (low = < 1%, average = 1–1.66%, high = ≥ 1.67 to <6%, very-high-risk = ≥ 6%). This determined future trial-related screening schedules and prevention options. Semi-structured interviews were transcribed for thematic framework analysis. Results Two overarching themes were produced: the importance of supported risk communication and accessibility of risk management. Overall, risk-based breast screening was viewed positively. However, trial procedures, especially in risk estimate provision, differed across sites. Women at increased risk were more reassured when appointments were with specialist healthcare professionals (HCP). When absent, this resulted in reduced satisfaction with risk communication and greater uncertainty about its personal relevance. Low-risk women’s views on extended mammogram schedules seemed linked to how health services are organised differently. Conclusions Context is an important consideration regarding acceptability of healthcare innovations such as risk-stratified screening: it should not be assumed that findings from one country apply universally.

Clinical Significance of Combined Density and Deep-Learning-Based Texture Analysis for Stratifying the Risk of Short-Term and Long-Term Breast Cancer in Screening.

Assessing a woman's risk of breast cancer is important for personalized screening. Mammographic density is a strong risk factor for breast cancer, but parenchymal texture patterns offer additional information which cannot be captured by density. We aimed to combine BI-RADS density score 4th Edition and a deep-learning-based texture score to stratify women in screening and compare rates among the combinations. This retrospective study cohort study included 216,564 women from a Danish populations-based screening program. Baseline mammograms were evaluated using BI-RADS density scores (1-4) and a deep-learning texture risk model, with scores categorized into four quartiles (1-4). The incidence rate ratio (IRR) for screen-detected, interval, and long-term cancer were adjusted for age, year of screening and screening clinic. Compared with subgroup B1-T1, the highest IRR for screen-detected cancer were within the T4 category (3.44 (95% CI: 2.43-4.82)-4.57 (95% CI: 3.66-5.76)). IRR for interval cancer was highest in the BI-RADS 4 category (95% CI: 5.36 (1.77-13.45)-16.94 (95% CI: 9.93-30.15)). IRR for long-term cancer increased both with increasing BI-RADS and increasing texture reaching 5.15 (4.31-6.16) for the combination of B4-T4 compared with B1-T1. Deep-learning-based texture analysis combined with BI-RADS density categories can reveal subgroups with increased rates beyond what density alone can ascertain, suggesting the potential of combining texture and density to improve risk stratification in breast cancer screening.

Breast Cancer Screening Interval: Effect on Rate of Late-Stage Disease at Diagnosis and Overall Survival.

Controversy continues regarding the effect of screening mammography on breast cancer outcomes. We evaluated late-stage cancer rate and overall survival (OS) for different screening intervals using a real-world institutional research data mart. Patients having both a cancer registry record of new breast cancer diagnosis and prediagnosis screening history between 2004 and 2019 were identified from our institutional research breast data mart. Time interval between the two screening mammograms immediately preceding diagnosis and the time to cancer diagnosis were determined. Screening interval was deemed annual if ≤15 months, biennial if >15 and ≤27 months, intermittent if >27 months, and baseline if only one prediagnosis screen was known. The primary end point was late-stage cancer (TNM stage IIB or worse), and the secondary end point was OS. The association of screening interval and late-stage cancer was analyzed using multivariable logistic regression adjusting for prediagnosis characteristics. Proportional hazards regression was used for survival analysis. Potential lead time was analyzed using survival from a uniform fixed time point. In total, 8,145 patients with breast cancer had prediagnosis screening mammography in the timeframe. The percentage of late-stage cancers diagnosed increased significantly with screening interval with 9%, 14%, and 19% late stages for annual, biennial, and intermittent groups (P < .001), respectively. The trend persisted regardless of age, race, and menopausal status. Biennial and intermittent groups had substantially worse OS than the annual screened group, with relative hazards of 1.42 (95% CI, 1.11 to 1.82) and 2.69 (95% CI, 2.11 to 3.43), respectively, and 1.39 (95% CI, 1.08 to 1.78) and 2.01 (95% CI, 1.58 to 2.55) after adjustment for potential lead time. Annual mammographic screening was associated with lower risk of late-stage cancer and better OS across clinical and demographic subgroups. Our study suggests benefit of annual screening for women 40 years and older.

Unveiling sequential layered heterogeneity in multi-spectral transmission images clustering through iterative terrace compression with adaptive neighborhoods analysis

Multi-spectral transmission imaging looks forward to an early breast cancer screening with cost-effectiveness, safety, and ease of use. However, the biological tissue of the breast owns scattering and strong absorption properties, resulting in transmission images with a low signal-to-noise ratio and prior investigation focused on detection heterogeneity within a single layer, but the different depths in heterogeneity due to the spherical shape of the breast causing the challenges. Accurately detecting heterogeneity in different layers is crucial due to low contrast, veiling layers, and unclear boundaries, which can be difficult to identify in clustering and segmentation. The breast heterogeneity identification can be handled by combining image processing techniques; nevertheless, considering labeling limits and data accessibility, the clustering algorithm provides an acceptable substitute. Therefore, the paper proposes a novel methodology integrating the iterative terrace compression method with adaptive neighborhoods analysis to identify sequential multi-layered heterogeneity and enhance the clustering of multi-spectral transmission images. Our experimental setup involved the collection of low grayscale images across six wavelengths, followed by advanced image processing techniques, including frame accumulation to improve image signal-to-noise ratio and then polynomial surface fitting to eliminate trend items from uneven light. After that, iterative terrace compression with adaptive neighborhoods analysis is applied to reduce redundancy and unveil heterogeneity in different layers and window functions to remove unnecessary gray information. Finally, clustering combined with pseudo-color is used for clustering analysis and visual representation for aiding in heterogeneity detection. Results indicate a significant improvement in detection metrics, with our method outpacing existing techniques regarding the Dice coefficient, F1 score, and Jaccard. This innovative approach not only enhances the characterization of breast tissue heterogeneities in different layers but also promises practical clinical applications in breast cancer screening.

A Large Cohort Study of Height and Mammographic Density in Relation to Breast Cancer Risk among Korean Women.

Height and mammographic breast density are well-known risk factors for breast cancer. This study aims to investigate the association between height and mammographic density with breast cancer risk in a large population-based cohort of Korean women. This retrospective cohort study included 4,851,115 women aged 40 and older who underwent screening mammography through the Korean National Cancer Screening Program (KNCSP) between 2009 and 2014 and were followed up until 2016. Multivariable Cox proportional hazard models were employed to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between height, mammographic density, and breast cancer risk. A taller stature was associated with an increased risk of breast cancer, with women in the highest quintile of height (Q5) having a 1.54-fold [95% CI: 1.49, 1.59] greater risk compared to those in the lowest quintile (Q1). When analyzing breast cancer risk based on height and mammographic density, women in the highest quintile for height (Q5) with extremely dense breasts had a 4.51-fold [95% CI: 4.24, 4.79] greater risk compared to those in the lowest quintile (Q1) with almost entirely fatty breasts (p trend < 0.001). This first study to simultaneously examine these two variables found that height and mammographic density were independently associated with breast cancer risk in this large cohort of Korean women. Height and mammographic density can help stratify risk in screening populations for breast cancer. Careful consideration of screening strategies may be beneficial for taller women with dense breasts.

Effect of Messaging on Support for Breast Cancer Screening Cessation Among Older US Women

Many older women are screened for breast cancer beyond guideline-recommended thresholds. Messaging holds promise to reduce overscreening. To investigate the effect of a message on older women's support for and intentions of stopping breast cancer screening. A 2-wave randomized clinical online survey trial using a nationally representative online panel was performed from May 12 to June 19, 2023. Women 65 years or older without breast cancer were eligible to participate. A pilot-tested breast cancer screening cessation message delivered to a hypothetical older woman with serious illnesses and functional impairment. The message was described as from 1 of 3 sources (clinician, news story, or family member). Participants were randomized into 4 groups: no message (group 1 [control]), a single message from a clinician at wave 1 and no message at wave 2 (group 2), a message from a news story (wave 1) and a clinician (wave 2) (group 3), and a message from a family member (wave 1) and a clinician (wave 2) (group 4). Support for stopping screening in the hypothetical older woman (primary) and screening intentions for oneself (secondary) were assessed on 7-point scales, with higher values indicating stronger support for and intentions to stop screening. Means were compared using analysis of variance. The message effect on screening intentions among participants 75 years or older and those with life expectancy of less than 10 years were also explored. A total of 3051 women participated in wave 1 of the trial. The mean (SD) age was 72.8 (5.9) years; 272 (8.9%) were non-Hispanic Black and 2506 (82.1%) were non-Hispanic White. Of these women, 2796 (91.6%) completed wave 2. Group 2 had significantly higher support for screening cessation in the hypothetical patient at wave 2 (mean score, 3.14 [95% CI, 2.99-3.29]) compared with group 1 (mean score, 2.68 [95% CI, 2.54-2.82]; P < .001). The effect was even stronger in group 3 (mean score, 4.23 [95% CI, 4.09-4.38]) and group 4 (mean score, 4.12 [95% CI, 3.97-4.27]) compared with both groups 1 and 2 (all P < .001). Message effects on self-screening intentions followed a similar pattern, with larger effects among participants 75 years or older or with limited life expectancy. In this randomized clinical trial, a breast cancer screening cessation message significantly increased older women's support for and intentions of screening cessation. The strongest effects were observed when the message was delivered over time from multiple sources. Future work needs to engage potential message sources to examine the feasibility and acceptability of multilevel messaging strategies and their effect on screening behavior. ClinicalTrials.gov Identifier: NCT05821023.

Survey on Current Utilization and Perception of Synthesized Mammography.

To assess utilization and perceptions of 2D synthesized mammography (SM) for digital breast tomosynthesis (DBT) among practicing U.S. breast radiologists. An IRB-exempt 23-question anonymized survey was developed by the Society of Breast Imaging (SBI) Patient Care and Delivery Committee and emailed to practicing U.S. radiologist SBI members on October 9, 2023. Questions assessed respondents' demographics, current mammographic screening protocol, confidence interpreting SM for mammographic findings, and perceived advantages and disadvantages of SM. Response rate was 13.4% (371/2771). Of 371 respondents, 208 were currently screening with DBT/SM (56.1%), 98 with DBT/SM/digital mammography (DM) (26.4%), 61 with DBT/DM (16.4%), and 4 with DM (1.1%). Most respondents felt confident using DBT/SM to evaluate masses (254/319, 79.6%), asymmetries (247/319, 77.4%), and distortions (265/318, 83.3%); however, confidence was mixed for calcifications (agreement 130/320, 40.6%; disagreement 156/320, 48.8%; neutral 34/320, 10.6%). The most frequently cited disadvantage and advantage of SM were reconstruction algorithm false-positive results (199/347, 57.4%) and lower radiation dose (281/346, 81.2%), respectively. Higher confidence and fewer disadvantages were reported by radiologists who had more SM experience, screened with DBT/SM, or exclusively used Hologic vendor (all P <.05). For most survey respondents (56.1%), SM has replaced DM in DBT screening. Radiologists currently screening with DBT/SM or with more SM experience reported greater confidence in SM with fewer perceived disadvantages.

ASO Visual Abstract: Associations Between Perceived Discrimination, Screening Mammography, and Breast Cancer Stage at Diagnosis: A Prospective Cohort Analysis.

ASO Visual Abstract: Associations Between Perceived Discrimination, Screening Mammography, and Breast Cancer Stage at Diagnosis: A Prospective Cohort Analysis.

Adherence to national guidelines for colorectal, breast, and cervical cancer screenings in Japanese workplaces: a survey-based classification of enterprises’ practices into “overscreening,” “underscreening,” and “guideline-adherence screening”

BackgroundWorkplace cancer screening programs are determined as part of an employee’s benefits package and health checkups are perceived positively. However, the current status of workplace cancer screening programs in Japan is unavailable. This study aimed to assess the adherence to national guidelines for colorectal, breast, and cervical cancer screenings in the workplace among Japanese enterprises and identify factors associated with excessive or inadequate screenings.MethodsA cross-sectional study design was employed. Data were obtained from a survey conducted by the “Corporate Action to Promote Cancer Control” between November and December 2022 among registered partner enterprises in Japan. The survey included questions on background characteristics, cancer screening practices, and intervention approaches. The analysis included 432 enterprises that provided complete responses regarding colorectal, breast, and cervical cancer screenings.ResultsThe guideline-adherence rates for colorectal, breast, and cervical cancer screenings in the workplace were 12.7%, 3.0%, and 8.8%, respectively. Enterprises had lower adherence to screening guidelines than local governments. Colorectal (70.8%) and breast (67.1%) cancer screenings were predominantly categorized as “overscreening” and cervical (60.6%) cancer screening, as “underscreening.” Factors such as enterprise scale, health insurance associations, and the number of interventional approaches were significantly associated with increased “overscreening” (101–1000: β = 0.13, p = 0.01; ≥ 1000: β = 0.17, p < 0.01; health insurance association: β = 0.23, p < 0.01; and approaches: β = 0.42, p < 0.01) and reduced “underscreening” (101–1000: β = -0.13, p = 0.01; ≥ 1000: β = -0.17, p < 0.01; health insurance association: β = -0.18, p < 0.01; and approaches: β = -0.48, p < 0.01).ConclusionAdherence to national guidelines for colorectal, breast, and cervical cancer screenings in the workplace was suboptimal among Japanese enterprises. Therefore, appropriate cancer screening measures and interventions to ensure guideline adherence and optimization of screening benefits while minimizing potential harms should be expeditiously implemented.

Transgender preventative health-chest/breast cancer screening.

Cancer mortality rates have decreased over the last 48 years attributable to standardized cancer screenings. These screenings were developed without deliberate inclusion of transgender and non-binary populations. While specialists are familiar regarding cancer screening in this distinct population, those in primary care might be more limited. As such, we aimed to develop a screening risk tool that combines the Breast Cancer Risk Assessment Tool (Gail model) with the updated American College of Radiology Appropriateness Criteria-Transgender Breast Cancer Screening, into an online questionnaire designed to accommodate primary care physicians performing routine health screenings to advise appropriate imaging and referral for this population. This new tool can be used for transgender chest/breast risk assessment whereas the Gail model alone was developed without transgender populations in mind, with the aim of early detection and cancer prevention in this historically underserved healthcare population.