Predictors of Breast Cancer Outcome in a Cohort of Women Seeking Care at a Safety Net Hospital.

RATIONALE AND OBJECTIVES: This study aimed to identify predictors associated with lower mortality in a population of women diagnosed and treated for breast cancer at a safety net hospital. METHODS: From 2008 to 2014, 1115 patients were treated for breast cancer at our academic safety net hospital. 208 were excluded due to diagnosis at an outside facility, and the remaining 907 (81%) formed the study cohort. Retrospective charts and imaging reviews looked at race, ethnicity, insurance status, social determinants of health, screening utilization, treatment regimen, and 7-13-year follow-up care, including the cause of death. Multivariable logistic regression modeling assessed mortality, and adjusted odds ratios (aOR) with 95% confidence intervals (CI) were computed. RESULTS: Of the 907 women, the mean age was 59 years (inter-quartile range 50-68 years), with 40% White, 46% Black, 4% Asian, and 10% Other. Increasing age (aOR=1.03, p = 0.001) and more advanced stage at diagnosis (aOR=6.37, p < 0.0001) were associated with increased mortality. There was no significant difference in mortality based on race or ethnicity (p > 0.05). Of 494 with screening prior to diagnosis, longer screening time was observed for patients with advanced stage (median 521 days) vs. early stage (median 404 days), p = 0.0004. Patients with Medicaid, insurance not specified, and no insurance were less likely to undergo screening before diagnosis than privately insured (all p < 0.05). Shorter screening time was associated with lower all-cause mortality (aOR=0.57, 95% CI=0.36-0.89, p = 0.013). DISCUSSION: In a safety net population, a more advanced stage at diagnosis was associated with higher mortality and lower odds of undergoing screening mammography in the two years prior to a breast cancer diagnosis. Early screening was associated with lower mortality. Finally, given no racial or ethnic differences in mortality, the safety net infrastructure at our institution effectively provides equitable cancer care once a cancer is confirmed.

Comparison of Contrast-enhanced Mammography with MRI Utilizing an Enriched Reader Study: A Breast Cancer Study (CONTRRAST Trial).

Background Despite growing interest in using contrast-enhanced mammography (CEM) for breast cancer screening as an alternative to breast MRI, limited literature is available. Purpose To determine whether CEM is noninferior to breast MRI or abbreviated breast MRI (AB MRI) and superior to two-dimensional mammography in an asymptomatic population simulating those who would present for screening and then undergo diagnostic work-up. Materials and Methods This enriched reader study used CEM and MRI data prospectively collected from asymptomatic individuals at a single institution from December 2014 to March 2020. Case sets were obtained at screening, as part of work-up for a screening-detected finding, or before biopsy of a screening-detected abnormality. All images were anonymized and randomized, and all 12 radiologists interpreted them. For CEM interpretation, readers were first shown low-energy images as a surrogate for digital mammography and asked to give a forced Breast Imaging Reporting and Data System score for up to three abnormalities. The highest score was used as the case score. Readers then reviewed the full CEM examination and scored it similarly. After a minimum 1-month washout, the readers similarly interpreted AB MRI and full MRI examinations. Receiver operating characteristic analysis, powered to test CEM noninferiority to full MRI, was performed. Results The study included 132 case sets (14 negative, 74 benign, and 44 malignant; all female participants; mean age, 54 years ± 12 [SD]). The mean areas under the receiver operating characteristic curve (AUCs) for digital mammography, CEM, AB MRI, and full MRI were 0.79, 0.91, 0.89, and 0.91, respectively. CEM was superior to digital mammography (P < .001). No evidence of a difference in AUC was found between CEM and AB MRI and MRI. Conclusion In an asymptomatic study sample, CEM was noninferior to full MRI and AB MRI and was superior to digital mammography. Clinical trial registration no. NCT03482557 and NCT02275871 © RSNA, 2023 Supplemental material is available for this article.

Demystifying Breast Disease Markers.

Breast imaging radiologists regularly perform image-guided biopsies of suspicious breast lesions based on features that are associated with a likelihood of malignancy ranging from 2% to greater than 95% (Breast Imaging Reporting and Data System categories 4 and 5). As diagnostic partners, pathologists perform histopathologic assessment of these tissue samples to confirm a diagnosis. Correlating the imaging findings with the histopathologic results is an integral aspect of multidisciplinary breast care. Assessment of radiologic-pathologic concordance is vital in guiding appropriate management, as it enables identification of discordant results, minimizing the chance of misdiagnosis. Undersampling can lead to false-negative results, with the frequencies of false-negative diagnoses varying on the basis of multiple factors, including biopsy type (eg, core needle, vacuum-assisted needle), needle gauge, and type of lesion sampled at biopsy (ie, mass, calcifications, asymmetry, architectural distortion). Improving a radiologist's knowledge of macroscopic and microscopic breast anatomy and more common breast diseases and their expected imaging findings ensures more accurate radiologic-pathologic correlation and management recommendations. The histopathologic and molecular characteristics of biopsy-sampled breast lesions aid in making an accurate diagnosis. Hematoxylin-eosin staining provides critical morphologic details, whereas immunohistochemical staining enables molecular characterization of many benign and malignant lesions, which is critical for tailored treatment. The authors review commonly encountered benign and malignant breast diseases, their corresponding histopathologic phenotypes, and the histopathologic markers that are essential to clinching the diagnosis of these entities. As part of a multidisciplinary team that provides optimal patient care, radiologists should be knowledgeable of the foundations of histopathologic diagnosis and the implications for patient management to ensure appropriate radiologic-pathologic concordance. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.

Current Practices in Anticoagulation Management for Patients Undergoing Percutaneous Image-guided Breast Procedures.

Objective: Given variability in how practices manage patients on antithrombotic medications, we undertook this study to understand the current practice of antithrombotic management for patients undergoing percutaneous breast and axillary procedures. Methods: A 20-item survey with multiple-choice and write-in options was emailed to 2094 active North American members of the Society of Breast Imaging (SBI) in March 2021. Data were collected anonymously and analyzed quantitatively, with free-text responses categorized by themes. Results: Three-hundred twenty-six of 2094 members (15.6%) completed the survey. Eighty-seven percent (274/313) reported having a policy for managing antithrombotic medications. Fifty-nine percent (185/312) reported routinely withholding medications before biopsy, more commonly in the Northeast and South (P = 0.08). Withholding of medications did not vary by lesion location (182/308, 59%, breast vs 181/308, 58.7%, axillary; P = 0.81). Respondents were statistically more likely to withhold medications if using a vacuum-assisted device for all classes of antithrombotic medications (P < 0.001). Up to 50.2% (100/199) on warfarin and 33.6% (66/196) on direct oral anticoagulants had medications withheld more stringently than guidelines suggest. Conclusion: Based on a survey of SBI members, breast imaging practices vary widely in antithrombotic management for image-guided breast and axillary procedures. Of the 60% who withhold antithrombotic medications, a minority comply with recommended withhold guidelines, placing at least some patients at potential risk for thrombotic events. Breast imaging radiologists should weigh the risks and benefits of withholding these medications, and if they elect to withhold should closely follow evidence-based guidelines to minimize the risks of this practice.

The Impact of Social Determinants of Health on the Time Between Diagnostic Breast Imaging and Biopsy at a Safety Net Hospital.

PURPOSE: Although social determinants of health (SDH) are thought to be associated with health outcomes, there is limited literature on the direct impact of SDH on delays in breast cancer diagnosis via breast imaging. Identifying SDH associated with longer lapses (defined in this study as a time interval between two events) between imaging and biopsy is essential to early-stage detection of breast cancer, which has a significant impact on survival. Previous work demonstrated associations between both housing and food insecurity with longer lapses between diagnostic imaging and biopsy. We aim to expand upon this retrospective analysis with a longer study period, more participants, and improved data cleaning techniques to better understand how SDH may affect the lapse between imaging and biopsy. METHODS: This retrospective study was institutional review board approved and HIPAA compliant. Informed consent was waived. Patients who underwent screening mammography between January 1, 2015, and January 1, 2020, were assessed for timing of recommended biopsy due to a BI-RADS category 4 or 5. SDH were assessed with the unique Tool for Health & Resilience in Vulnerable Environments screening questionnaire developed at Boston Medical Center. Associations between imaging and biopsy timing and eight explanatory SDH variables (food insecurity, housing insecurity, ability to pay for medications, transportation access, ability to pay for utilities, caretaking needs, employment, and desire for more education) were assessed with multivariate Cox proportional hazard modeling, as well as demographic data. RESULTS: There were 2,885 unique patients who underwent 3,142 unique diagnostic imaging studies and were included in the multivariate analysis. Of those 3,142 imaging studies, 196 (6.2%) had not yet been followed by the recommended biopsy by the end of the study period; 2,271 patients (78.7%) had SDH data in at least one domain; and the individual domains ranged from 962 patients (32.1%) with complete data for education to 2,175 patients (75.4%) with complete data for food insecurity. A positive screen for at least one SDH was associated with a longer lapse between diagnostic imaging and biopsy (P = .048). Furthermore, housing insecurity alone was nearly associated with longer lapses between diagnostic imaging and biopsy (P = .059). Those who desired more education were found to have shorter lapses between diagnostic imaging and biopsy (P = .037). CONCLUSIONS: Only a positive screen of the aggregate of all SDH (using a novel tool developed at our safety net hospital) was associated with a statistically significant lengthening of this lapse. Of the eight SDH screened, housing insecurity was the closest to association with longer lapses between diagnostic imaging and biopsy, whereas patients who desired more education were found to have statistically significant shorter lapses; however, this survey domain had the lowest completion rate. CLINICAL RELEVANCE: Identification of which SDH might affect the time from imaging to biopsy can potentially inform targeted programs to intervene. Government and health system interventions addressing SDH, notably housing insecurity, could allow for shorter time to breast cancer diagnosis and treatment.

Framed and Reframed! The Art of Using Cognitive Behavioral Techniques to Combat Burnout.

The incidence of burnout among radiologists has been increasing exponentially, largely attributed to increased work volumes, expectations for more rapid turn-around times and decreasing interpersonal interactions. While personal wellness activities have been described in the literature, there is little information on the role of cognitive behavioral therapy strategies to mitigate burnout. This manuscript will describe the value of naming automatic negative emotions which can lead to burnout and will provide an overview of strategies that can be used to combat them, using cognitive behavioral therapy techniques.

Management of Mammographic Architectural Distortion Based on Contrast-enhanced MRI and US Correlation.

OBJECTIVE: The objective was to evaluate outcomes of mammographic architectural distortion (AD) with and without MRI and US correlates. METHODS: A retrospective review of unexplained mammographic AD with subsequent MRI from January 1, 2007 to September 30, 2017 was performed using a reader-based study design. Mammographic, MRI, and US features and outcomes were documented. Truth was based on biopsy results or minimum two-year imaging follow-up. Measures of diagnostic accuracy were calculated. RESULTS: Fifty-six cases of AD were included: 29 (51.8%) detected on 2D mammogram and 27 (48.2%) detected on digital breast tomosynthesis. Of 35.7% (20/56) with MRI correlate, 40.0% (8/20) were enhancing masses, 55.0% (11/20) were non-mass enhancement (NME), and 5.0% (1/20) were nonenhancing AD. Of eight enhancing masses, 75.0% (6/8) were invasive cancers, and 25.0% (2/8) were high-risk lesions. Of 11 NME, 18.2% (2/11) were ductal carcinoma in situ, 36.4% (4/11) were high-risk lesions, and 45.4% (5/11) were benign. Of 64.3% (36/56) without MRI correlate, 94.4% (34/36) were benign by pathology or follow-up, one (2.8%, 1/36) was a 4-mm focus of invasive cancer with US correlate, and one (1/36, 2.8%) was a high-risk lesion. Of cases without MRI and US correlates, one (3.0%, 1/33) was a high-risk lesion and 97.0% (32/33) were benign. The negative predictive value of mammographic AD without MRI correlate was 97.2% (35/36) and without both MRI and US correlates was 100.0% (33/33). CONCLUSION: Mammographic AD without MRI or US correlate was not cancer in our small cohort and follow-up could be considered, reducing interventions.

Social determinants of health and the prediction of missed breast imaging appointments.

BACKGROUND: Predictive models utilizing social determinants of health (SDH), demographic data, and local weather data were trained to predict missed imaging appointments (MIA) among breast imaging patients at the Boston Medical Center (BMC). Patients were characterized by many different variables, including social needs, demographics, imaging utilization, appointment features, and weather conditions on the date of the appointment. METHODS: This HIPAA compliant retrospective cohort study was IRB approved. Informed consent was waived. After data preprocessing steps, the dataset contained 9,970 patients and 36,606 appointments from 1/1/2015 to 12/31/2019. We identified 57 potentially impactful variables used in the initial prediction model and assessed each patient for MIA. We then developed a parsimonious model via recursive feature elimination, which identified the 25 most predictive variables. We utilized linear and non-linear models including support vector machines (SVM), logistic regression (LR), and random forest (RF) to predict MIA and compared their performance. RESULTS: The highest-performing full model is the nonlinear RF, achieving the highest Area Under the ROC Curve (AUC) of 76% and average F1 score of 85%. Models limited to the most predictive variables were able to attain AUC and F1 scores comparable to models with all variables included. The variables most predictive of missed appointments included timing, prior appointment history, referral department of origin, and socioeconomic factors such as household income and access to caregiving services. CONCLUSIONS: Prediction of MIA with the data available is inherently limited by the complex, multifactorial nature of MIA. However, the algorithms presented achieved acceptable performance and demonstrated that socioeconomic factors were useful predictors of MIA. In contrast with non-modifiable demographic factors, we can address SDH to decrease the incidence of MIA.

The Impact of Social Determinants of Health on Lung Cancer Screening Utilization.

PURPOSE: The purpose of this study was to understand how social determinants of health might influence lung cancer screening (LCS) adherence. METHODS: All LCS low-dose CT appointments scheduled at an urban, tertiary care academic medical center in the New England region between January 1, 2015, and December 31, 2018, were included. Demographics, insurance type, information on social determinants of health, and appointment status were obtained from the electronic medical records. Multivariate logistic regression was performed to evaluate the associations between the appointment status and the explanatory variables. RESULTS: During the study period, 2,797 patients had 4,747 scheduled LCS appointments. Forty-one percent of patients had at least one missed appointment, and 32.7% of all scheduled appointments were missed. The retention rate of patients after the baseline examination was approximately 50%. Self-reported Black race was independently associated with 1.5 times the odds of missing appointments compared with White race (P = .012). Patients with Medicaid had 6.1 times the odds of missing appointments compared with patients with private insurance and 4.6 times the odds of missing appointments compared with patients with Medicare (P < .0001). Housing insecurity was a risk factor for failing to follow up after the baseline examination, with an odds ratio of 5.3 (P = .0013). CONCLUSIONS: The high rate of missed LCS appointments underscores the need to improve screening compliance. The identification of specific social determinants of health that contribute to disparities in access to LCS could empower policymakers, hospital systems, and providers to use targeted interventions to promote more equitable access.

Calcified Axillary Lesions on Mammography: Review and Management.

When interpreting mammography, breast radiologists may identify radiopaque densities in the axilla on the mediolateral oblique or lateral projections. When such densities are encountered, true calcifications must be differentiated from pseudocalcifications (artifact). Using imaging, breast radiologists should be able to localize the finding as being dermal, within the soft tissues, within a lymph node, or intramuscular. By combining the anatomic location with the clinical presentation and any other imaging findings, breast radiologists will be able to determine the most appropriate management.

Monochromatic X-rays: The future of breast imaging.

PURPOSE: To present details about the innovative and disruptive technology of monochromatic X-rays and its application to breast imaging. METHODS: To analyze results of studies done using a prototype system for breast imaging that generates monochromatic X-rays through fluorescence emission. To assess signal-to-noise ratio (SNR) as a measure of image quality at different doses in breast phantoms of different sizes and review the comparison of parameters with a standard mammography system. RESULTS: Monochromatic X-rays reduce the radiation dose per mammogram by a factor of 5 to 10 times. For phantom simulating thick breast (9 cm), the SNR for monochromatic system was 2.6 times higher and the dose 4.2 times lower than the respective values obtained with the conventional system within the same 5 mm × 5 mm square area of the 100% glandular step wedge. For the conventional broadband system to equal the SNR of the monochromatic system, it would require a dose of 19 mGy, 29 times higher than the dose delivered by the monochromatic system. Contrast-enhanced digital mammography with monochromatic X-rays is shown to provide a simpler and more effective technique at substantially lower radiation dose. CONCLUSIONS: Lowering radiation dose by a factor of 5 to 10 while maintaining image quality implies a major reduction in total exposure from breast cancer screening and dramatically less risk of radiation-induced cancers in at-risk women. The high SNRs for very thick breast phantoms provide strong evidence that screening with lower breast compression is possible while maintaining image quality.

Image-guided Microinvasive Percutaneous Treatment of Breast Lesions: Where Do We Stand?

Treatment of breast lesions has evolved toward the use of less-invasive or minimally invasive techniques. Minimally invasive treatments destroy focal groups of cells without surgery; hence, less anesthesia is required, better cosmetic outcomes are achieved because of minimal (if any) scarring, and recovery times are shorter. These techniques include cryoablation, radiofrequency ablation, microwave ablation, high-intensity focused US, laser therapy, vacuum-assisted excision, and irreversible electroporation. Each modality involves the use of different mechanisms and requires specific considerations for application. To date, only cryoablation and vacuum-assisted excision have received U.S. Food and Drug Administration approval for treatment of fibroadenomas and have been implemented as part of the treatment algorithm by the American Society of Breast Surgeons. Several clinical studies on this topic have been performed on outcomes in patients with breast cancer who were treated with these techniques. The results are promising, with more data for radiofrequency ablation and cryoablation available than for other minimally invasive methods for treatment of early-stage breast cancer. Clinical decisions should be made on a case-by-case basis, according to the availability of the technique. MRI is the most effective imaging modality for postprocedural follow-up, with the pattern of enhancement differentiating residual or recurrent disease from postprocedural changes. ©RSNA, 2021.

Systemic diseases affecting the breast: Imaging, diagnosis, and management.

Various systemic diseases of benign or malignant etiologies can clinically manifest in the breast. Some imaging findings of breast lesions can be pathognomonic for a given condition, while others are non-specific, mimicking primary breast carcinoma and requiring tissue biopsy for definitive diagnosis. In addition to obtaining a detailed clinical history, radiologists should be familiar with the diverse clinical and imaging characteristics of these conditions to help exclude primary breast cancer and avoid unnecessary interventions. This review aims to discuss the clinical presentations, imaging features, pathologic findings, and management of systemic conditions that may affect the breast.

Coaching: A Primer for the Radiologist.

The practice of coaching using positive psychology is an emerging and promising approach to address the radiologist burnout epidemic, with the focus on wellness even more urgent given the coronavirus disease 2019 pandemic and other recent stressful events. Coaching uses a strengths-based approach to help radiologists identify and achieve positive emotions, create meaningful relationships, increase engagement and purpose, and develop coping skills for personal and professional stressors, including communication, improving resilience, team building, and mindfulness. Health and wellness coaching promotes healthy behavior change as a means of averting or mitigating chronic lifestyle-related diseases and is a potential treatment for burnout and stress management. Coaches help clients enhance self-motivation, identify strengths, and implement a framework for change by applying psychological resources, including mindfulness, positive mind-set, resilience, self-efficacy, and self-awareness. The framework of coaching is built upon psychological safety, mindfulness, accountability, and the coach-client relationship. Coaches use the three fundamental skills of mindful listening, open-ended inquiry, and perceptive reflections to empower clients on their journeys to achieve their best selves.

Longitudinal Resilience and Burnout in Radiology Residents.

PURPOSE: The aims of this study were to determine resilience levels of radiology residents at the start of radiology residency, investigate changes in resilience and burnout during residency, and assess the relationship between resilience and burnout among radiology residents. METHODS: Diagnostic radiology residents were invited to participate in online surveys from 2016 to 2019. Resilience was assessed using the Connor-Davidson Resilience Scale. Burnout was assessed using the Maslach Burnout Inventory-Human Services Survey. For each data set, genders' scores were compared using either analysis of variance or Kruskal-Wallis tests. Pearson correlation coefficients were calculated to explore the correlations between resilience and burnout. RESULTS: Women and men had no statistically significant difference among baseline resilience scores (P = .78). However, there was a statistically significant overall decrease in resilience scores among women (P = .002). Baseline Maslach Burnout Inventory-Human Services Survey scores indicated that residents began residency without frequent symptoms of burnout. There was no statistically significant temporal change across subjects among burnout scores in any scale (P ≥ .09 for all) or between women and men (P ≥ .37 for all interactions). However, among women, there was a statistically significant difference in depersonalization scores during training (P = .009). Additionally, higher resilience scores were associated with a greater sense of personal achievement (r = .52) and less emotional exhaustion (r = -.56) and depersonalization (r = -.59). CONCLUSIONS: The results of this study demonstrate that gender differences in resilience and burnout occur during radiology residency and that resilience has a protective effect against experiencing symptoms of burnout. Radiology residency programs should consider building longitudinal resilience for all trainees, especially women.

Motivation: how to create a cohort of engaged, energized, and happy radiology trainees.

Burnout among physicians continues to be a "hot topic" as medical culture struggles to adapt to the changing marketplace, where clinical demands are ever increasing but healthcare systems are pivoting to prefer value and cost-savings. To date, many attempts to understand and battle burnout center around the individual physician, rather than the system, limiting the medical community's ability to counter it successfully. The training environment is a common nidus for burnout. By promoting an understanding of motivation, happiness, and engagement in the workplace, we suggest several changes that training programs can make to minimize burnout and promote resident wellness. Creating a culture of support, promoting a positive work environment, building a cohesive team, and encouraging wellness both inside and outside the workplace stands to create engaged, happy, and motivated trainees who will hopefully continue to promote those strategies as they advance their careers.

Five Tips for Successful Conflict Negotiation in the Breast Imaging Workplace.

Conflict in the workplace is inevitable and disruptive to the team dynamic, ultimately leading to suboptimal patient outcomes if not addressed. Especially in breast imaging, where an interprofessional team is commonplace, spending time to address conflict is critical to building and maintaining relationships among team members. Although institutions may adopt a just culture, workplace paradigms can be challenged when two or more team members encounter misunderstandings around work-related or personal issues. Multiple factors can contribute to promoting workplace conflict, including a toxic culture (the antithesis of just culture), ineffective leadership, hierarchy, unclear expectations or goals, pre-existing assumptions and beliefs, lack of effective communication, and low levels of trust. Developing skills to engage in the difficult conversations to address and resolve conflict are essential to create an efficient and effective team to care for patients. In this manuscript, we provide tips on how each of us can build skills in conflict management and resolution, illustrated in several vignettes. These tips provide practical advice, which ultimately will translate into allowing us to provide better patient care every day.