Motivators and Barriers to Joining a Lifestyle Change Program for Disease Prevention.

Introduction: Lifestyle change programs (LCPs) are effective in helping people adopt healthy lifestyles and maintain healthy weight for disease prevention. LCPs are known to be underutilized, but the nuances surrounding women's interest in using these programs for disease prevention need to be further explored so that enrollment and retention in these programs can be improved. Methods: The purpose of this study was to explore women's interest in and knowledge of LCPs and identify their motivators and barriers to joining these types of programs through a survey. The survey was administered both online and in person. The survey had 22 questions and included demographics, medical and family history, knowledge and interest in LCPs, and barriers and motivators to participating in LCPs. Results: Participants in this study included 1,606 women from 40 to 74 years of age. We found that respondents had limited knowledge about the benefits of LCPs in reducing risks of specific diseases, such as breast cancer and osteoarthritis. Respondents reported low-to-moderate interest in LCPs. We found that their interest in these programs was negatively associated with their weekly physical activity and positively associated with their body mass index (BMI) and the number of reported barriers to joining LCPs. The most common barriers cited were cost, location, time, and too many meetings. In addition, we found that respondents who had or were unsure about their family history of diabetes were more interested in LCPs compared with individuals who had no family history of diabetes. We did not find significant differences in respondent interest in LCPs across ethnicity. Conclusions: Our study suggests that specific barriers to LCPs-including women's knowledge of such programs-will need to be addressed before enrollment and retention in LCPs are increased.

ACR Appropriateness Criteria® Female Breast Cancer Screening: 2023 Update.

Early detection of breast cancer from regular screening substantially reduces breast cancer mortality and morbidity. Multiple different imaging modalities may be used to screen for breast cancer. Screening recommendations differ based on an individual's risk of developing breast cancer. Numerous factors contribute to breast cancer risk, which is frequently divided into three major categories: average, intermediate, and high risk. For patients assigned female at birth with native breast tissue, mammography and digital breast tomosynthesis are the recommended method for breast cancer screening in all risk categories. In addition to the recommendation of mammography and digital breast tomosynthesis in high-risk patients, screening with breast MRI is recommended. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

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.

ACR Appropriateness Criteria® Palpable Breast Masses: 2022 Update.

Palpable masses in women are the most common symptom associated with breast cancer. This document reviews and evaluates the current evidence for imaging recommendations of palpable masses in women less than 30 to over 40 years of age. There is also a review of several different scenarios and recommendations after initial imaging. Ultrasound is usually the appropriate initial imaging for women under 30 years of age. If ultrasound findings are suspicious or highly suggestive of malignancy (BIRADS 4 or 5), it is usually appropriate to continue with diagnostic tomosynthesis or mammography with image-guided biopsy. No further imaging is recommended if the ultrasound is benign or negative. The patient under 30 years of age with a probably benign ultrasound may undergo further imaging; however, the clinical scenario plays a role in the decision to biopsy. For women between 30 to 39 years of age, ultrasound, diagnostic mammography, tomosynthesis, and ultrasound are usually appropriate. Diagnostic mammography and tomosynthesis are the appropriate initial imaging for women 40 years of age or older, as ultrasound may be appropriate if the patient had a negative mammogram within 6 months of presentation or immediately after mammography findings are suspicious or highly suggestive of malignancy. If the diagnostic mammogram, tomosynthesis, and ultrasound findings are probably benign, no further imaging is necessary unless the clinical scenario indicates a biopsy. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

Comparison of Diagnostic Sensitivity and Procedure-Related Pain of Concurrent Ultrasound-guided Fine-needle Aspiration and Core-needle Biopsy of Axillary Lymph Nodes in Patients with Suspected or Known Breast Cancer.

OBJECTIVE: Conflicting data exist on the diagnostic sensitivity of core-needle biopsy (CNB) compared to fine-needle aspiration (FNA) in the evaluation of axillary lymph node metastasis from breast cancer. Our purpose was to evaluate the sensitivity of CNB and FNA using subsequent axillary surgery as the gold standard and to compare the patients' subjective pain levels for each biopsy method. METHODS: This IRB-approved prospective study enrolled 140 patients from February 2014 to May 2019 with known or suspected breast cancer. Patients underwent both US-guided FNA and 14-gauge CNB of the same node with clip placement and rated their pain level using a verbal numerical rating scale of 0 to 10. The diagnostic sensitivities were determined by pathology of the surgically excised lymph node using the McNemar test of correlated proportions. Changes in pain scores for CNB and FNA were determined using the Wilcoxon rank sum test. RESULTS: A total of 94 patients had confirmatory excision of the biopsied node with nodal metastasis detected in 71.3% (67/94). The sensitivity of CNB for detection of nodal metastasis was 95.5% (64/67), while the sensitivity of FNA was 67.2% (45/67) (P < 0.05). Overall pain score ratings for CNB increased by 0.6 from baseline on an 11-point numerical rating scale, while overall pain score rating for FNA decreased by 0.2 from baseline (P < 0.05). CONCLUSION: Our study demonstrates that 14-gauge CNB has superior sensitivity for detection of axillary nodal metastases and mildly increased pain compared with 25-gauge FNA in patients with breast cancer.

ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation.

Breast tumor segmentation is a critical task in computer-aided diagnosis (CAD) systems for breast cancer detection because accurate tumor size, shape, and location are important for further tumor quantification and classification. However, segmenting small tumors in ultrasound images is challenging due to the speckle noise, varying tumor shapes and sizes among patients, and the existence of tumor-like image regions. Recently, deep learning-based approaches have achieved great success in biomedical image analysis, but current state-of-the-art approaches achieve poor performance for segmenting small breast tumors. In this paper, we propose a novel deep neural network architecture, namely the Enhanced Small Tumor-Aware Network (ESTAN), to accurately and robustly segment breast tumors. The Enhanced Small Tumor-Aware Network introduces two encoders to extract and fuse image context information at different scales, and utilizes row-column-wise kernels to adapt to the breast anatomy. We compare ESTAN and nine state-of-the-art approaches using seven quantitative metrics on three public breast ultrasound datasets, i.e., BUSIS, Dataset B, and BUSI. The results demonstrate that the proposed approach achieves the best overall performance and outperforms all other approaches on small tumor segmentation. Specifically, the Dice similarity coefficient (DSC) of ESTAN on the three datasets is 0.92, 0.82, and 0.78, respectively; and the DSC of ESTAN on the three datasets of small tumors is 0.89, 0.80, and 0.81, respectively.

ACR Appropriateness Criteria® Imaging After Breast Surgery.

Given that 20% to 40% of women who have percutaneous breast biopsy subsequently undergo breast surgery, knowledge of imaging women with a history of benign (including high-risk) disease or breast cancer is important. For women who had surgery for nonmalignant pathology, the surveillance recommendations are determined by their overall risk. Higher-than-average risk women with a history of benign surgery may require screening mammography starting at an earlier age before 40 and may benefit from screening MRI. For women with breast cancer who have undergone initial excision and have positive margins, imaging with diagnostic mammography or MRI can sometimes guide additional surgical planning. Women who have completed breast conservation therapy for cancer should get annual mammography and may benefit from the addition of MRI or ultrasound to their surveillance regimen. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances in which peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

Perceptions Regarding Optimal Breast Imaging Education for Radiology Residents: Results of a National Survey.

OBJECTIVES: To assess perceptions among breast radiologists regarding optimal breast imaging rotation organization and educational activities for radiology residents. METHODS: An IRB-exempt anonymous questionnaire was developed in REDCap and distributed as a member survey email by the Society of Breast imaging to 2188 members June 2019. A form with 33 questions asked questions about opinions related to resident rotation composition, read-out strategies, study/procedure volume, simulation and educational materials specific to breast imaging. RESULTS: A total of 109/2,188 (4.98%) complete survey responses were received. Of the responders, 69/109 (62%) work in academic practice, 16/109 (15%) work in private practice with residents, and 24/109 (22%) work in private practice without residents. There was no significant variation in opinion between those who have >10 years of experience teaching breast imaging 49/109(42.2%) to those with less <10 years' experience 60/109 (55%). A range of opinions is demonstrated regarding the multiple questions asked with more support for diagnostics and procedures on the second and thirds rotations compared to first rotations. There was strong support of in-person staffing, checklists, simulation for ultrasound-guided procedures (91%) and formal training on delivering bad news (90%). Radiology-pathology conferences and faculty-developed teaching files were highest-rated for effective educational tools. CONCLUSIONS: The results from this survey show varied opinions regarding perceived best practices for resident breast radiology rotations . Further research is needed to determine training outcomes related to rotation organization. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Autologous Fat Grafting to the Breast: An Educational Review.

Autologous fat grafting (AFG) is a technique that is increasingly utilized in breast cosmetic and reconstructive surgery. In this procedure, fat is aspirated by liposuction from one area of the body and injected into the breast. The procedure and process of AFG has evolved over the last few decades, leading to more widespread use, though there is no standard method. Autologous fat grafting is generally considered a safe procedure but may result in higher utilization of diagnostic imaging due to development of palpable lumps related to fat necrosis. Imaging findings depend on surgical technique but typically include bilateral, symmetric, retromammary oil cysts and scattered dystrophic and/or coarse calcifications when AFG is used for primary breast augmentation. More focal findings occur when AFG is used to improve specific areas of cosmetic deformity, scarring, or pain following breast cancer surgery. As with any cause of fat necrosis, imaging features tend to appear more benign over time, with development of rim calcifications associated with oil cysts and a shift in echogenicity of oil cyst contents on ultrasound towards anechoic in some cases. This article reviews the AFG procedure, uses, complications, and imaging findings.

The Impact of the COVID-19 Pandemic on Breast Imaging.

"Starting in Wuhan, China, followed quickly in the United States in January 2020, an outbreak of a novel coronavirus, or COVID-19, escalated to a global pandemic by March. Significant disruptions occurred to breast imaging, including deferred screening mammography, triaging diagnostic breast imaging, and changes in breast cancer care algorithms. This article summarizes the effect of the global pandemic-and efforts to curtail its spread-on both breast cancer care and on breast imaging practices including effects on patients, clinical workflow, education, and research."

Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images.

Incorporating human domain knowledge for breast tumor diagnosis is challenging because shape, boundary, curvature, intensity or other common medical priors vary significantly across patients and cannot be employed. This work proposes a new approach to integrating visual saliency into a deep learning model for breast tumor segmentation in ultrasound images. Visual saliency refers to image maps containing regions that are more likely to attract radiologists' visual attention. The proposed approach introduces attention blocks into a U-Net architecture and learns feature representations that prioritize spatial regions with high saliency levels. The validation results indicate increased accuracy for tumor segmentation relative to models without salient attention layers. The approach achieved a Dice similarity coefficient (DSC) of 90.5% on a data set of 510 images. The salient attention model has the potential to enhance accuracy and robustness in processing medical images of other organs, by providing a means to incorporate task-specific knowledge into deep learning architectures.

Impact of Immediate Interpretation of Screening Tomosynthesis Mammography on Performance Metrics.

RATIONALE AND OBJECTIVES: This study aimed to compare performance metrics for immediate and delayed batch interpretation of screening tomosynthesis mammograms. MATERIALS AND METHODS: This HIPAA compliant study was approved by institutional review board with a waiver of consent. A retrospective analysis of screening performance metrics for tomosynthesis mammograms interpreted in 2015 when mammograms were read immediately was compared to historical controls from 2013 to 2014 when mammograms were batch interpreted after the patient had departed. A total of 5518 screening tomosynthesis mammograms (n = 1212 for batch interpretation and n = 4306 for immediate interpretation) were evaluated. The larger sample size for the latter group reflects a group practice shift to performing tomosynthesis for the majority of patients. Age, breast density, comparison examinations, and high-risk status were compared. An asymptotic proportion test and multivariable analysis were used to compare performance metrics. RESULTS: There was no statistically significant difference in recall or cancer detection rates for the batch interpretation group compared to immediate interpretation group with respective recall rate of 6.5% vs 5.3% = +1.2% (95% confidence interval -0.3 to 2.7%; P = .101) and cancer detection rate of 6.6 vs 7.2 per thousand = -0.6 (95% confidence interval -5.9 to 4.6; P = .825). There was no statistically significant difference in positive predictive values (PPVs) including PPV1 (screening recall), PPV2 (biopsy recommendation), or PPV 3 (biopsy performed) with batch interpretation (10.1%, 42.1%, and 40.0%, respectively) and immediate interpretation (13.6%, 39.2%, and 39.7%, respectively). After adjusting for age, breast density, high-risk status, and comparison mammogram, there was no difference in the odds of being recalled or cancer detection between the two groups. CONCLUSIONS: There is no statistically significant difference in interpretation performance metrics for screening tomosynthesis mammograms interpreted immediately compared to those interpreted in a delayed fashion.

Comparison of Breast Density Between Synthesized Versus Standard Digital Mammography.

PURPOSE: To evaluate perceptual difference in breast density classification using synthesized mammography (SM) compared with standard or full-field digital mammography (FFDM) for screening. MATERIALS AND METHODS: This institutional review board-approved, retrospective, multireader study evaluated breast density on 200 patients who underwent baseline screening mammogram during which both SM and FFDM were obtained contemporaneously from June 1, 2016, through November 30, 2016. Qualitative breast density was independently assigned by seven readers initially evaluating FFDM alone. Then, in a separate session, these same readers assigned breast density using synthetic views alone on the same 200 patients. The readers were again blinded to each other's assignment. Qualitative density assessment was based on BI-RADS fifth edition. Interreader agreement was evaluated with κ statistic using 95% confidence intervals. Testing for homogeneity in paired proportions was performed using McNemar's test with a level of significance of .05. RESULTS: For patients across the SM and standard 2-D data set, diagnostic testing with McNemar's test with P = 0.32 demonstrates that the minimal density transitions across FFDM and SM are not statistically significant density shifts. Taking clinical significance into account, only 8 of 200 (4%) patients had clinically significant transition (dense versus not dense). There was substantial interreader agreement with overall κ in FFDM of 0.71 (minimum 0.53, maximum 0.81) and overall SM κ average of 0.63 (minimum 0.56, maximum 0.87). CONCLUSION: Overall subjective breast density assignment by radiologists on SM is similar to density assignment on standard 2-D mammogram.

Summary measures of agreement and association between many raters' ordinal classifications.

PURPOSE: Interpretation of screening tests such as mammograms usually require a radiologist's subjective visual assessment of images, often resulting in substantial discrepancies between radiologists' classifications of subjects' test results. In clinical screening studies to assess the strength of agreement between experts, multiple raters are often recruited to assess subjects' test results using an ordinal classification scale. However, using traditional measures of agreement in some studies is challenging because of the presence of many raters, the use of an ordinal classification scale, and unbalanced data. METHODS: We assess and compare the performances of existing measures of agreement and association as well as a newly developed model-based measure of agreement to three large-scale clinical screening studies involving many raters' ordinal classifications. We also conduct a simulation study to demonstrate the key properties of the summary measures. RESULTS: The assessment of agreement and association varied according to the choice of summary measure. Some measures were influenced by the underlying prevalence of disease and raters' marginal distributions and/or were limited in use to balanced data sets where every rater classifies every subject. Our simulation study indicated that popular measures of agreement and association are prone to underlying disease prevalence. CONCLUSIONS: Model-based measures provide a flexible approach for calculating agreement and association and are robust to missing and unbalanced data as well as the underlying disease prevalence.

Screening for Breast Cancer.

The goal of screening is to detect breast cancers when still curable to decrease breast cancer-specific mortality. Breast cancer screening in the United States is routinely performed with mammography, supplemental digital breast tomosynthesis, ultrasound, and/or MR imaging. This article aims to review the most commonly used breast imaging modalities for screening, discuss how often and when to begin screening with specific imaging modalities, and examine the pros and cons of screening. By the article's end, the reader will be better equipped to have informed discussions with patients and medical professionals regarding the benefits and disadvantages of breast cancer screening.

Clinical implementation of synthesized mammography with digital breast tomosynthesis in a routine clinical practice.

BACKGROUND: Most published studies evaluating digital breast tomosynthesis (DBT) included a separate 2-dimensional full-field digital mammogram (FFDM) for DBT screening protocols, increasing radiation from screening mammography. Synthesized mammography (SM) creates a 2-dimensional image from the DBT source data, and if used in place of FFDM, it reduces radiation of DBT screening. This study evaluated the implementation of SM + DBT in routine screening practice in terms of recall rates, cancer detection rates (CDR), % of minimal cancers, % of node-positive cancers, and positive predictive values (PPV). MATERIALS AND METHODS: A multivariate retrospective institutional analysis was performed on 31,979 women who obtained screening mammography (10/2013-12/2015) with cohorts divided by modality (SM + DBT, FFDM + DBT, and FFDM). We adjusted for comparison mammograms, age, breast density, and the interpreting radiologist. Recall type was analyzed for differences (focal asymmetry, asymmetry, masses, calcifications, architectural distortion). RESULTS: SM + DBT significantly decreased the recall rate compared to FFDM (5.52 vs. 7.83%, p < 0.001) with no differences in overall CDR (p = 0.66), invasive and/or in situ CDR, or percentages of minimal and node-negative cancers. PPV1 significantly increased with SM + DBT relative to FFDM (9.1 vs. 6.2%, p = 0.02). SM + DBT did not differ significantly in recall rate or overall CDR compared to FFDM + DBT. There were statistically significant differences in certain findings recalled by screening modality (e.g., focal asymmetries). CONCLUSIONS: SM + DBT reduces false positives compared to FFDM, while maintaining the CDR and other desirable audit outcome data. SM + DBT is more accurate than FFDM alone, and is a desirable alternative to FFDM + DBT, given the added benefit of radiation reduction.

Synthesized Digital Mammography Imaging.

Synthesized mammography (SM) is a new imaging technique similar to digital mammography constructed from an acquired digital breast tomosynthesis (DBT) examination. SM allows for widespread screening using DBT, maintaining the benefits of DBT while decreasing the radiation of DBT by nearly half. This article reviews studies evaluating SM, most of which suggest that SM may be appropriate to use clinically to replace an actual acquired conventional 2-dimensional full-field digital mammogram (FFDM) when using DBT for breast cancer screening. These results should be interpreted with caution because there are inherent differences between SM and FFDM image quality and lesion visibility and larger, more robust studies still need to be performed.

Breast cancer screening of pregnant and breastfeeding women with BRCA mutations.

Screening recommendations for women with BRCA mutations include annual breast MRI starting at age 25, with annual mammogram added at age 30. The median age of childbearing in the US is age 28, therefore many BRCA mutation carriers will be pregnant or breastfeeding during the time when intensive screening is most important to manage their increased breast cancer risk. Despite this critical overlap, there is little evidence to guide clinicians on the appropriate screening for women with BRCA mutations during pregnancy or breastfeeding. Hormonal shifts that occur during pregnancy, the postpartum period, and breastfeeding result in changes to the breasts that may further complicate the sensitivity and specificity of screening modalities. We explore the safety and efficacy of available breast cancer screening modalities, including clinical breast exam, mammogram, breast MRI, and ultrasound among women with BRCA mutations who are pregnant or breastfeeding, providing recommendations from the most current published literature and expert opinion.