Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman.

BACKGROUND: Breast cancer risk models guide screening and chemoprevention decisions, but the extent and effect of variability among models, particularly at the individual level, is uncertain. OBJECTIVE: To quantify the accuracy and disagreement between commonly used risk models in categorizing individual women as average vs. high risk for developing invasive breast cancer. DESIGN: Comparison of three risk prediction models: Breast Cancer Risk Assessment Tool (BCRAT), Breast Cancer Surveillance Consortium (BCSC) model, and International Breast Intervention Study (IBIS) model. SUBJECTS: Women 40 to 74 years of age presenting for screening mammography at a multisite health system between 2011 and 2015, with 5-year follow-up for cancer outcome. MAIN MEASURES: Comparison of model discrimination and calibration at the population level and inter-model agreement for 5-year breast cancer risk at the individual level using two cutoffs (≥ 1.67% and ≥ 3.0%). KEY RESULTS: A total of 31,115 women were included. When using the ≥ 1.67% threshold, more than 21% of women were classified as high risk for developing breast cancer in the next 5 years by one model, but average risk by another model. When using the ≥ 3.0% threshold, more than 5% of women had disagreements in risk severity between models. Almost half of the women (46.6%) were classified as high risk by at least one of the three models (e.g., if all three models were applied) for the threshold of ≥ 1.67%, and 11.1% were classified as high risk for ≥ 3.0%. All three models had similar accuracy at the population level. CONCLUSIONS: Breast cancer risk estimates for individual women vary substantially, depending on which risk assessment model is used. The choice of cutoff used to define high risk can lead to adverse effects for screening, preventive care, and quality of life for misidentified individuals. Clinicians need to be aware of the high false-positive and false-negative rates and variation between models when talking with patients.

Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach.

Accurate characterization of microcalcifications (MCs) in 2D digital mammography is a necessary step toward reducing the diagnostic uncertainty associated with the callback of indeterminate MCs. Quantitative analysis of MCs can better identify MCs with a higher likelihood of ductal carcinoma in situ or invasive cancer. However, automated identification and segmentation of MCs remain challenging with high false positive rates. We present a two-stage multiscale approach to MC segmentation in 2D full-field digital mammograms (FFDMs) and diagnostic magnification views. Candidate objects are first delineated using blob detection and Hessian analysis. A regression convolutional network, trained to output a function with a higher response near MCs, chooses the objects which constitute actual MCs. The method was trained and validated on 435 screening and diagnostic FFDMs from two separate datasets. We then used our approach to segment MCs on magnification views of 248 cases with amorphous MCs. We modeled the extracted features using gradient tree boosting to classify each case as benign or malignant. Compared to state-of-the-art comparison methods, our approach achieved superior mean intersection over the union (0.670 ± 0.121 per image versus 0.524 ± 0.034 per image), intersection over the union per MC object (0.607 ± 0.250 versus 0.363 ± 0.278) and true positive rate of 0.744 versus 0.581 at 0.4 false positive detections per square centimeter. Features generated using our approach outperformed the comparison method (0.763 versus 0.710 AUC) in distinguishing amorphous calcifications as benign or malignant.

SAVI SCOUT® localization of metastatic axillary lymph node prior to neoadjuvant chemotherapy for targeted axillary dissection: a pilot study.

PURPOSE: In clinically node-positive breast cancer, axillary staging after neoadjuvant chemotherapy (NAC) is optimized with targeted axillary dissection (TAD), which includes removal of the biopsy-proven metastatic lymph node (LN) in addition to sentinel lymph nodes (SLN). Localization of the clipped node is currently performed post-NAC; however, technical limitations can make detection and localization of the treated LN challenging. We prospectively evaluated the feasibility of localizing the metastatic LN with a SAVI SCOUT® reflector (SAVI) prior to NAC for targeted removal at surgery. METHODS: Twenty-five patients with stage 2/3 breast cancer underwent ultrasound-guided localization of the biopsy-proven LN with SAVI prior to NAC. After NAC, patients with clinical response underwent TAD. Primary outcome measures were rate of successful localization, days between insertion of SAVI and axillary surgery, frequency of retrieval of clipped node, and frequency of SAVI-LN as SLN. RESULTS: After NAC, 23/25 (92%) had clinical axillary down-staging and underwent TAD. Two patients with persistent palpable axillary disease underwent ALND for initial staging. Axillary surgery was performed at an average of 141 days post-SAVI insertion and the SAVI was successfully retrieved in all cases. Among 23 patients undergoing TAD, the SAVI was retrieved within a LN in all patients, whereas clip migration was observed in two patients. The median SLN removed was 4, and SAVI-LN was SLN in 22/23 patients. Axillary pCR rate was 44%. CONCLUSION: Localizing a metastatic LN with SAVI reflector prior to NAC for targeted removal at surgery is feasible and may provide technical and logistical advantages over axillary localization post-NAC. CLINICAL TRIAL REGISTRY: Clinical trials.gov identifier: NCT03411070.

Microchipping the breast: an effective new technology for localizing non-palpable breast lesions for surgery.

PURPOSE: Use of a wire to localize a non-palpable breast lesion for surgery is standard but archaic. We sought to evaluate a new radiofrequency localization system (RFLS) as an effective, non-radioactive alternative to the wire. METHODS: Patients who required surgical excision of a non-palpable breast lesion were consented for the study. Patients underwent localization with a radiofrequency Tag and surgical removal guided by the handheld LOCalizer probe. The primary study endpoint was successful placement and retrieval of the Tag, and secondary endpoints included marker migration; days prior to surgery of Tag insertion; patient, radiologist, and surgeon experience; distance of Tag from skin; and positive margin and re-excision rates for cancer. RESULTS: Fifty patients had successful placement and retrieval of the radiofrequency Tag. Likert questionnaire data revealed that most patients thought the procedure went smoothly and was easier than expected. Radiologists and surgeons thought that the Tag was as reliable as the wire. Of the 33 patients who had surgery for in situ or invasive cancer, one had a positive margin on final pathology (3%) and two underwent re-excision (6%). CONCLUSIONS: Data from this pilot study suggest that the RFLS is an effective localization system for non-palpable breast lesions intended for surgical removal. Unlike most other technologies, the LOCalizer probe detects distance from the Tag, and this unique feature may have contributed to the low positive margin rate seen in this study. The RFLS appears to offer advantages over current localization procedures and should be explored as an alternative to wire. ClinicalTrials.gov Identifier: NCT03202472.

Predictors associated with MRI surveillance screening in women with a personal history of unilateral breast cancer but without a genetic predisposition for future contralateral breast cancer.

PURPOSE: For women with a personal history of breast cancer (PHBC), no validated mechanisms exist to calculate future contralateral breast cancer (CBC) risk. The Manchester risk stratification guidelines were developed to evaluate CBC risk in women with a PHBC, primarily for surgical decision making. This tool may be informative for the use of MRI screening, as CBC risk is an assumed consideration for high-risk surveillance. METHODS: Three hundred twenty-two women with a PHBC were treated with unilateral surgery within our multidisciplinary breast clinic. We calculated lifetime CBC risk using the Manchester tool, which incorporates age at diagnosis, family history, genetic mutation status, estrogen receptor positivity, and endocrine therapy use. Univariate and multivariate logistic regression analyses (UVA/MVA) were performed, evaluating whether CBC risk predicted MRI surveillance. RESULTS: For women with invasive disease undergoing MRI surveillance, 66% had low, 23% above-average, and 11% moderate/high risk for CBC. On MVA, previous mammography-occult breast cancer [odds ratio (OR) 18.95, p < 0.0001], endocrine therapy use (OR 3.89, p = 0.009), dense breast tissue (OR 3.69, p = 0.0007), mastectomy versus lumpectomy (OR 3.12, p = 0.0041), and CBC risk (OR 3.17 for every 10% increase, p = 0.0002) were associated with MRI surveillance. No pathologic factors increasing ipsilateral breast cancer recurrence were significant on MVA. CONCLUSIONS: Although CBC risk predicted MRI surveillance, 89% with invasive disease undergoing MRI had <20% calculated CBC risk. Concerns related to future breast cancer detectability (dense breasts and/or previous mammography-occult disease) predominate decision making. Pathologic factors important for determining ipsilateral recurrence risk, aside from age, were not associated with MRI surveillance.

Increasing Appropriate BRCA1/2 Mutation Testing: The Role of Family History Documentation and Genetic Counseling in a Multidisciplinary Clinic.

BACKGROUND: Findings show that 5-10 % of women with a diagnosis of breast cancer (BCa) have actionable genetic mutations. The National Comprehensive Cancer Network guidelines for testing to detect BRCA1/2 mutations include personal history (PH) variables such as age of 45 years or younger and a family history (FH) variables. Rates of FH documentation and overall rates of appropriate referral for genetic testing are low, ranging from about 30 to 60 %. The authors hypothesized that an upfront FH documentation and inclusion of a genetics counselor in a multidisciplinary clinic (MDC) setting would increase rates of appropriate referral for genetic testing. METHODS: The study enrolled 609 consecutive women with non-metastatic BCa seen in consultation between June 2012 and December 2015 at a multidisciplinary clinic. Rates of FH documentation and referral for genetic testing to detect BRCA1/2 mutations were assessed before and after inclusion of a genetic counselor in the MDC. RESULTS: The rates of FH documentation and appropriate referral were 100 and 89 %, respectively. Half (50 %) of the patients had only FH-based indications for testing. All the patients with PH-based indications were referred. The inclusion of a genetic counselor significantly increased appropriate referral rates among those with only FH-based indications (62 vs. 92 %) and overall (80 vs. 96 %) (p < 0.0001 for both). Among the 12 % of the patients with actionable mutations, 60 % were 45 years of age or younger, whereas 30 % had only FH-based testing indications. CONCLUSIONS: This report shows substantially higher FH documentation and appropriate genetic testing rates than prior reports. Many patients with indications for genetic testing may have only FH-based indications for testing, and this subset may account for the sizable proportion of patients with newly diagnosed BCa who have actionable mutations.

Development and implementation of a breast imaging order panel in the electronic health record: Helping the ordering providers get it right.

Appropriate ordering of breast imaging studies is complex due to the variety of clinical indications and available imaging modalities. Incorrect ordering affects radiology resource allocation due to the different workflows and personnel requirements of screening and diagnostic breast imaging. Through the collaborative efforts of stakeholders in Primary Care, Radiology, and Information Services & Solutions, we developed and implemented a breast imaging order panel in the electronic health record with integrated clinical decision support to facilitate correct order selection for screening patients at average-risk and high-risk of breast cancer and for diagnostic breast imaging of symptomatic patients.

Using Discrete Event Simulation to Design and Assess an AI-aided Workflow for Same-day Diagnostic Testing of Women Undergoing Breast Screening.

The process of patients waiting for diagnostic examinations after an abnormal screening mammogram is inefficient and anxiety-inducing. Artificial intelligence (AI)-aided interpretation of screening mammography could reduce the number of recalls after screening. We proposed a same-day diagnostic workup to alleviate patient anxiety by employing an AI-aided interpretation to reduce unnecessary diagnostic testing after an abnormal screening mammogram. However, the potential unintended consequences of introducing this workflow in a high-volume breast imaging center are unknown. Using discrete event simulation, we observed that implementing the AI-aided screening mammogram interpretation and same-day diagnostic workflow would reduce daily patient volume by 4%, increase the time a patient would be at the clinic by 24%, and increase waiting times by 13-31%. We discuss how changing the hours of operation and introducing new imaging equipment and personnel may alleviate these negative impacts.

To scan or not to scan: effect of scanning the axilla of all patients undergoing diagnostic breast ultrasound.

BACKGROUND: Breast ultrasonography is a useful modality in patients undergoing diagnostic and screening breast imaging. However, breast ultrasound has a high false positive rate and can be time-consuming to perform. PURPOSE: The purpose of this study was to evaluate the clinical impact of incidental axillary findings found on diagnostic breast ultrasounds at a single multi-site institution that has a standard protocol of scanning the axilla for all breast ultrasound exams. METHODS: All diagnostic breast ultrasounds were retrospectively reviewed from January 2017 to September 2019. Follow-up imaging, relevant clinical history, and pathology results were also reviewed. All positive axillary findings were divided into incidental or non-incidental findings depending on whether there was a direct clinical indication to scan the axilla. Descriptive statistics were performed with a 5% level of significance. RESULTS: Of the 19,695 diagnostic ultrasounds performed during this timeframe, there were 91 (0.5%) incidental axillary findings given a BIRADS category 3 or 4, and none of these findings resulted in the diagnosis of an occult breast cancer. One biopsy-proven SLL/CLL lymphoma was diagnosed that was otherwise clinically occult. CONCLUSION: Routine axillary scanning in all patients undergoing a diagnostic breast ultrasound at a large multi-site institution yields a low rate of incidental findings and has minimal impact on detection of cancer.

Breast Cancer Among Transgender and Nonbinary Patients: Paradigms for Improving Data Collection and Inclusion in Breast Imaging Settings.

Breast cancer incidence among transgender and nonbinary (TGNB) individuals is not well characterized owing to the absence of robust data collection among this patient population. Consequently, breast cancer risks are largely unknown, and screening guidelines are not based on robust evidence. Additionally, TGNB patients experience barriers to access health care. A first step in improving data collection, research, and ultimately care of TGNB individuals is the identification of group members and demonstration to patients that our breast imaging centers are champions of LGBTQ+ health. At our institution, patients who present for breast imaging complete an iPad-administered breast imaging history and breast cancer risk assessment survey. Using the modified Tyrer-Cuzick model, the lifetime risk of developing breast cancer is estimated, and additional key history that may impact breast care and future breast imaging is collected. Under the previous clinic workflow, patients are identified as either "male" or "female" and complete a corresponding gender-specific survey. To improve care, we revised the survey using gender-inclusive language and developed four versions to allow patients to separately self-report their sex assigned at birth and gender identity. Relevant queries relating to hormone use and gender-affirming chest/breast surgery that are concordant with six gender-identity groups were added. Long-term collection of these inclusive data by imaging centers has the potential to enhance the data set available to improve breast care and better understand breast cancer risk and outcomes among TGNB populations.

Lung Cancer Screening Among Mammography Patients: Knowledge, Eligibility, Participation, and Interest.

OBJECTIVE: To determine lung cancer screening eligibility, knowledge, and interest and to quantify the effect of the expanded 2021 lung cancer screening eligibility criteria among women presenting for screening mammography, a group with demonstrable interest in cancer screening. METHODS: A single-page survey was distributed to patients presenting for screening mammography, from January-March 2020 and June 2020-January 2021, at 2 academic medical centers on the East and West Coasts. The population served by the East Coast institution has greater poverty, greater ethnic/racial diversity, and lower education levels. Survey questions included age, smoking history, lung cancer screening knowledge, participation, and interest. Lung cancer screening eligibility was determined for both 2013 and 2021 USPSTF guidelines. Descriptive statistics were calculated, and data were compared between groups using the Chi-square test, Mann-Whitney nonparametric test, and the 2-sample t test. RESULTS: 5512 surveys were completed; 33% (1824) of women reported a history of smoking-30% (1656) former smokers and 3% (156) current smokers. Among women with a smoking history, 7% (127/1824) were eligible for lung cancer screening using 2013% and 11% (207/1824) using the 2021 USPSTF criteria. Interest in lung cancer screening was high (73%; 151/207) among eligible women using 2021 USPSTF criteria, but only 42% (87/207) had heard of lung cancer screening and only 28% (57/207) had received prior LDCT screening. CONCLUSION: Eligible screening mammography patients reported high levels of interest in lung cancer screening but low levels of knowledge and participation. Linking mammography and LDCT appointments may improve lung cancer screening participation.

Developing a modified preservative efficacy testing approach as a predictive tool for the evaluation of preservative systems in liquid home care products under variable test conditions.

How can a formulator have confidence that a preservative system will perform as expected under adverse conditions? Extreme conditions that can lead to the development of "off odors" in the product can be a serious challenge for companies providing home care products in the global market. Formulation and stability testing occur under controlled parameters that simulate limited environmental conditions and microbial challenges are typically performed with a standard inoculum level. While this is an acceptable and dependable process, it does not necessarily assess how well a preservative system can perform under extreme environmental conditions or against unusually high levels of bacterial challenges. This is especially true when formulations are diluted and stored by the end-user. By modifying microbial challenge testing of a liquid dishwashing product to include unexpected dilution schemes, increased microbial assaults, and elevated temperatures, a pattern of preservative efficacy was established. The resulting approach proved to be a useful tool when developing use directions, recommended dilution levels, the overall surfactant system, preservative type, and storage restrictions.

Breast Density: Current Knowledge, Assessment Methods, and Clinical Implications.

Breast density is an accepted independent risk factor for the future development of breast cancer, and greater breast density has the potential to mask malignancies on mammography, thus lowering the sensitivity of screening mammography. The risk associated with dense breast tissue has been shown to be modifiable with changes in breast density. Numerous studies have sought to identify factors that influence breast density, including age, genetic, racial/ethnic, prepubertal, adolescent, lifestyle, environmental, hormonal, and reproductive history factors. Qualitative, semiquantitative, and quantitative methods of breast density assessment have been developed, but to date there is no consensus assessment method or reference standard for breast density. Breast density has been incorporated into breast cancer risk models, and there is growing consciousness of the clinical implications of dense breast tissue in both the medical community and public arena. Efforts to improve breast cancer screening sensitivity for women with dense breasts have led to increased attention to supplemental screening methods in recent years, prompting the American College of Radiology to publish Appropriateness Criteria for supplemental screening based on breast density.

Fear of the Unknown: The Benefits of a Patient Educational Handout on Breast Biopsy Markers.

OBJECTIVE: To determine whether providing a biopsy marker informational handout to patients improves patient knowledge and comfort with receiving a marker. METHODS: In this IRB-exempt prospective study, a patient educational handout on breast biopsy markers was developed. A questionnaire was created with four questions asking patients to self-evaluate their knowledge of biopsy markers and their comfort level with marker placement before and after reading the handout. Technologists distributed the educational handouts to patients presenting for a percutaneous breast biopsy under any modality from December 11, 2020, to April 23, 2021. Data from the completed questionnaires were entered into a database. Statistical analyses included paired t-test and Wilcoxon analyses. RESULTS: In total, 141 completed surveys were included in the analysis. The mean scores prior to reading the handout for knowledge and comfort were 2.59 and 3.40, respectively. After reading the handout, there was a significant increase in mean scores for knowledge and comfort (4.26 and 4.20, respectively) (P < 0.001). There was a 64% increase vs 23% increase for knowledge and comfort, respectively. CONCLUSION: Patient-assessed knowledge of biopsy markers increased significantly after reading our educational handout. Patient-assessed comfort with biopsy marker placement also increased significantly after reading the educational handout, though to a lesser degree than knowledge. Although not included in our study, use of an educational handout may impact patient acceptance of marker placement. Future directions may include quantitatively assessing the effect of the handout on time to consent for a biopsy or influence on acceptance of marker placement.

Quantitative Predictors of Response to Neoadjuvant Chemotherapy on Dynamic Contrast-enhanced 3T Breast MRI.

OBJECTIVE: To assess whether changes in quantitative parameters on breast MRI better predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer than change in volume. METHODS: This IRB-approved retrospective study included women with newly diagnosed breast cancer who underwent 3T MRI before and during NAC from January 2013 to December 2019 and underwent surgery at our institution. Clinical data such as age, histologic diagnosis and grade, biomarker status, clinical stage, maximum index cancer dimension and volume, and surgical pathology (presence or absence of in-breast pCR) were collected. Quantitative parameters were calculated using software. Correlations between clinical features and MRI quantitative measures in pCR and non-pCR groups were assessed using univariate and multivariate logistic regression. RESULTS: A total of 182 women with a mean age of 52 years (range, 26-79 years) and 187 cancers were included. Approximately 45% (85/182) of women had pCR at surgery. Stepwise multivariate regression analysis showed statistical significance for changes in quantitative parameters (increase in time to peak and decreases in peak enhancement, wash out, and Kep [efflux rate constant]) for predicting pCR. These variables in combination predicted pCR with 81.2% accuracy and an area under the curve (AUC) of 0.878. The AUCs of change in index cancer volume and maximum dimension were 0.767 and 0.613, respectively. CONCLUSION: Absolute changes in quantitative MRI parameters between pre-NAC MRI and intra-NAC MRI could help predict pCR with excellent accuracy, which was greater than changes in index cancer volume and maximum dimension.

Breast Density Legislation Impact on Breast Cancer Screening and Risk Assessment.

OBJECTIVE: To evaluate breast density notification legislation (BDNL) on breast imaging practice patterns, risk assessment, and supplemental screening. METHODS: A 20-question anonymous web-based survey was administered to practicing Society of Breast Imaging radiologists in the U.S. between February and April 2021 regarding breast cancer risk assessment, supplemental screening, and density measurements. Results were compared between facilities with and without BDNL using the two-sided Fisher's exact test. RESULTS: One hundred and ninety-seven radiologists from 41 U.S. states, with (187/197, 95%) or without (10/197, 5%) BDNL, responded. Fifty-seven percent (113/197) performed breast cancer risk assessment, and 93% (183/197) offered supplemental screening for women with dense breasts. Between facilities with or without BDNL, there was no significant difference in whether risk assessment was (P = 0.19) or was not performed (P = 0.20). There was no significant difference in supplemental screening types (P > 0.05) between BDNL and non-BDNL facilities. Thirty-five percent (69/197) of facilities offered no supplemental screening studies, and 25% (49/197) had no future plans to offer supplemental screening. A statistically significant greater proportion of non-BDNL facilities offered no supplemental screening (P < 0.03) and had no plans to offer supplemental screening compared to BDNL facilities (P < 0.02). CONCLUSION: Facilities in BDNL states often offer supplemental screening compared to facilities in non-BDNL states. Compared to BDNL facilities, a statistically significant proportion of non-BDNL facilities had no supplemental screening nor plans for implementation. Our data suggest that upcoming federal BDNL will impact how supplemental screening is addressed in currently non-BDNL states.

Mammographic signs of systemic disease.

Although mammography is primarily used for the detection of breast cancer, it can occasionally reveal breast abnormalities related to extramammary disease. Cardiovascular diseases such as congestive heart failure and central venous obstruction may manifest as venous engorgement and breast edema at mammography. Pathologic arterial calcifications seen at mammography can indicate an underlying risk factor for accelerated atherosclerosis such as chronic renal failure. Connective tissue diseases including rheumatoid arthritis, systemic lupus erythematosus, dermatomyositis-polymyositis, and systemic scleroderma typically manifest with bilateral axillary lymphadenopathy, and stromal calcifications are also seen in the latter three disease processes. Some diseases such as neurofibromatosis type 1 and filariasis may manifest with pathognomonic findings at mammography, whereas other systemic diseases such as Wegener granulomatosis, sarcoidosis, and amyloidosis can manifest as nonspecific breast masses that are indistinguishable from breast cancer and usually require tissue biopsy for confirmation. Knowledge of the imaging characteristics of various systemic diseases affecting the breast will aid the radiologist in differentiating systemic disease from suspect breast lesions, thereby helping ensure appropriate follow-up. Furthermore, recognition of systemic diseases such as Cowden syndrome that are associated with an increased risk of breast cancer will allow the radiologist to recommend appropriate surveillance.

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

OBJECTIVE: To determine the impact of the COVID-19 pandemic on breast imaging education. METHODS: A 22-item survey addressing four themes during the early pandemic (time on service, structured education, clinical training, future plans) was emailed to Society of Breast Imaging members and members-in-training in July 2020. Responses were compared using McNemar's and Mann-Whitney U tests; a general linear model was used for multivariate analysis. RESULTS: Of 136 responses (136/2824, 4.8%), 96 U.S. responses from radiologists with trainees, residents, and fellows were included. Clinical exposure declined during the early pandemic, with almost no medical students on service (66/67, 99%) and fewer clinical days for residents (78/89, 88%) and fellows (48/68, 71%). Conferences shifted to remote live format (57/78, 73%), with some canceled (15/78, 19%). Compared to pre-pandemic, resident diagnostic (75/78, 96% vs 26/78, 33%) (P < 0.001) and procedural (73/78, 94% vs 21/78, 27%) (P < 0.001) participation fell, as did fellow diagnostic (60/61, 98% vs 47/61, 77%) (P = 0.001) and procedural (60/61, 98% vs 43/61, 70%) (P < 0.001) participation. Most thought that the pandemic negatively influenced resident and fellow screening (64/77, 83% and 43/60, 72%, respectively), diagnostic (66/77, 86% and 37/60, 62%), and procedural (71/77, 92% and 37/61, 61%) education. However, a majority thought that decreased time on service (36/67, 54%) and patient contact (46/79, 58%) would not change residents' pursuit of a breast imaging fellowship. CONCLUSION: The pandemic has had a largely negative impact on breast imaging education, with reduction in exposure to all aspects of breast imaging. However, this may not affect career decisions.

Adaptations of Breast Imaging Centers to the COVID-19 Pandemic: A Survey of California and Texas.

OBJECTIVE: To determine the early impact of the COVID-19 pandemic on breast imaging centers in California and Texas and compare regional differences. METHODS: An 11-item survey was emailed to American College of Radiology accredited breast imaging facilities in California and Texas in August 2020. A question subset addressed March-April government restrictions on elective services ("during the shutdown" and "after reopening"). Comparisons were made between states with chi-square and Fisher's tests, and timeframes with McNemar's and paired t-tests. RESULTS: There were 54 respondents (54/240, 23%, 26 California, 28 Texas). Imaging volumes fell during the shutdown and remained below pre-pandemic levels after reopening, with reduction in screening greatest (ultrasound 12% of baseline, mammography 13%, MRI 23%), followed by diagnostic MRI (43%), procedures (44%), and diagnostics (45%). California reported higher volumes during the shutdown (procedures, MRI) and after reopening (diagnostics, procedures, MRI) versus Texas (P = 0.001-0.02). Most screened patients (52/54, 96% symptoms and 42/54, 78% temperatures), and 100% (53/53) modified check-in and check-out. Reading rooms or physician work were altered for social distancing (31/54, 57%). Physician mask (45/48, 94%), gown (15/48, 31%), eyewear (22/48, 46%), and face shield (22/48, 46%) use during procedures increased after reopening versus pre-pandemic (P < 0.001-0.03). Physician (47/54, 87%) and staff (45/53, 85%) financial impacts were common, but none reported terminations. CONCLUSION: Breast imaging volumes during the early pandemic fell more severely in Texas than in California. Safety measures and financial impacts on physicians and staff were similar in both states.

Abbreviated Breast MRI for Estimating Extent of Disease in Newly Diagnosed Breast Cancer.

OBJECTIVE: To evaluate extent of disease estimation of abbreviated protocol (ap) magnetic resonance imaging (MRI) compared with full protocol (fp) MRI in newly diagnosed breast cancer. METHODS: In this institutional review board-approved, Health Insurance Portability and Accountability Act-compliant, retrospective study of women with breast cancer who underwent pretreatment fpMRI on a 3 Tesla MRI in 2013, axial fat-saturated pre- and first postcontrast T1, maximum-intensity projection, and subtraction sequences were interpreted independently by three breast radiologists in two sessions, without and with prior imaging, respectively. Agreement was calculated using Cohen's kappa. Interpretations were compared with histology or clinical stability. Diagnostic performances were compared using Bennett's statistic. P < 0.05 was significant. RESULTS: Eighty-one women (mean age 56 years, range 32-92 years), 116 lesions, and 95 cancers (mean size 27 mm, range 4-110 mm) were included. Agreement among radiologists for lesion assessment was excellent (0.83). apMRI cancer detection improved with prior imaging (mean sensitivity from 95% to 99%, specificity from 91% to 97%, positive predictive value [PPV] from 92% to 98%, and negative predictive value [NPV] from 95% to 99%) versus fpMRI (sensitivity 98% [93/95], specificity 94% [76/81], PPV 95% [93/98], and NPV 97% [76/78]). apMRI detected all multifocal, multicentric, and contralateral disease seen in 19% (15/81) of women to the same extent as fpMRI. apMRI axillary metastases detection improved with prior imaging (mean sensitivity from 78% to 86%, specificity from 90% to 92%, PPV from 76% to 82%, and NPV from 89% to 94%) versus fpMRI (sensitivity 71% [17/24], specificity 88% [51/58]), PPV 71% [17/24], and NPV 88% [51/58]). CONCLUSION: apMRI may be acceptable for women with newly diagnosed cancer.