Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies.

Background Artificial intelligence (AI) is increasingly used to manage radiologists' workloads. The impact of patient characteristics on AI performance has not been well studied. Purpose To understand the impact of patient characteristics (race and ethnicity, age, and breast density) on the performance of an AI algorithm interpreting negative screening digital breast tomosynthesis (DBT) examinations. Materials and Methods This retrospective cohort study identified negative screening DBT examinations from an academic institution from January 1, 2016, to December 31, 2019. All examinations had 2 years of follow-up without a diagnosis of atypia or breast malignancy and were therefore considered true negatives. A subset of unique patients was randomly selected to provide a broad distribution of race and ethnicity. DBT studies in this final cohort were interpreted by a U.S. Food and Drug Administration-approved AI algorithm, which generated case scores (malignancy certainty) and risk scores (1-year subsequent malignancy risk) for each mammogram. Positive examinations were classified based on vendor-provided thresholds for both scores. Multivariable logistic regression was used to understand relationships between the scores and patient characteristics. Results A total of 4855 patients (median age, 54 years [IQR, 46-63 years]) were included: 27% (1316 of 4855) White, 26% (1261 of 4855) Black, 28% (1351 of 4855) Asian, and 19% (927 of 4855) Hispanic patients. False-positive case scores were significantly more likely in Black patients (odds ratio [OR] = 1.5 [95% CI: 1.2, 1.8]) and less likely in Asian patients (OR = 0.7 [95% CI: 0.5, 0.9]) compared with White patients, and more likely in older patients (71-80 years; OR = 1.9 [95% CI: 1.5, 2.5]) and less likely in younger patients (41-50 years; OR = 0.6 [95% CI: 0.5, 0.7]) compared with patients aged 51-60 years. False-positive risk scores were more likely in Black patients (OR = 1.5 [95% CI: 1.0, 2.0]), patients aged 61-70 years (OR = 3.5 [95% CI: 2.4, 5.1]), and patients with extremely dense breasts (OR = 2.8 [95% CI: 1.3, 5.8]) compared with White patients, patients aged 51-60 years, and patients with fatty density breasts, respectively. Conclusion Patient characteristics influenced the case and risk scores of a Food and Drug Administration-approved AI algorithm analyzing negative screening DBT examinations. © RSNA, 2024.

Screening the Implant-Augmented Breast with Digital Breast Tomosynthesis: Is Tomosynthesis Necessary for Non-implant-Displaced Views?

OBJECTIVE: To determine cancer visualization utility and radiation dose for non-implant-displaced (ID) views using standard protocol with digital breast tomosynthesis (DBT) vs alternative protocol with 2D only when screening women with implant augmentation. METHODS: This retrospective cohort study identified women with implants who underwent screening DBT examinations that had abnormal findings from July 28, 2014, to December 31, 2021. Three fellowship-trained breast radiologists independently reviewed examinations retrospectively to determine if the initially identified abnormalities could be visualized on standard protocol (DBT with synthesized 2D (S2D) for ID and non-ID views) and alternate protocol (DBT with S2D for ID and only the S2D images for non-ID views). Estimated exam average glandular dose (AGD) and associations between cancer visualization with patient and implant characteristics for both protocols were evaluated. RESULTS: The study included 195 patients (mean age 55 years ± 10) with 223 abnormal findings. Subsequent biopsy was performed for 86 abnormalities: 59 (69%) benign, 8 (9%) high risk, and 19 (22%) malignant. There was no significant difference in malignancy visualization rate between standard (19/223, 8.5%) and alternate (18/223, 8.1%) protocols (P =.92), but inclusion of the DBT for non-ID views found one additional malignancy. Total examination AGD using standard protocol (21.9 mGy ± 5.0) was significantly higher than it would be for estimated alternate protocol (12.6 mGy ± 5.0, P <.001). This remained true when stratified by breast thickness: 6.0-7.9 cm, 8.0-9.9 cm, >10.0 cm (all P <.001). CONCLUSION: The inclusion of DBT for non-ID views did not significantly increase the cancer visualization rate but did significantly increase overall examination AGD.

Women in leadership matters: Achieving diversity in radiology residency recruitment.

RATIONALE AND OBJECTIVES: To assess whether academic radiology departments and residency programs with efforts toward supporting and augmenting Diversity, Equity, and Inclusion (DEI) are associated with a higher proportion of residents from diverse backgrounds. MATERIALS AND METHODS: Program Directors within the Radiology Residency Education Research Alliance were surveyed to gather information about program characteristics, incorporation of diversity in resident recruitment, the sponsoring department's commitment to efforts at expanding diversity, and a summary of their current and past residents, staff and faculty members (academic years 2020 and 2023) with respect to a list of diversity characteristics. RESULTS: Survey response rate was 51 %. Sixty-three percent (15/24) of participating programs have departmental committees dedicated to DEI work; 46 % (11/24) of programs' departments have a Vice Chair for DEI. Sixty percent (15/24) of programs use their social media accounts to advertise their DEI programming efforts. Ninety-six percent (23/24) of programs participating in the survey use diversity factors to select candidates for their program. Women Leadership was associated with above-median diversity of residents and faculty. CONCLUSION: This study of radiology residency programs encourages a more prominent role for women in leadership positions within academic radiology departments to drive diversity and inclusion efforts.

Otolaryngology residency program factors associated with female resident representation.

Objective: Female representation in the field of otolaryngology is lacking. Residency is the first point at which medical school graduates specialize in a chosen field and thus represents an opportunity to recruit and train more female otolaryngologists. This study sought to identify program factors associated with greater female representation among resident physicians. Methods: Departmental websites of all 124 otolaryngology residency programs in the United States and Puerto Rico were examined for a list of residents. For programs with a resident roster available, the genders of residents, faculty, program directors, and chairpersons were recorded. Location and city population for each program was also recorded, as was female resident representation. Programs were compared using Pearson Chi-squared univariate tests. Results: 1,632 residents and 2,605 faculty were included in the analysis of 109 programs. The median female resident representation was 40%. Programs with larger faculty sizes, more female faculty, and urban location were associated with an above-median female resident representation. Programs with a larger residency cohort approached significance regarding above-median female resident representation. Higher female faculty representation, program director gender, chairperson gender, and US region were not associated with variation in female resident representation. Conclusions: Greater female otolaryngology residency representation was associated with programs having an urban location and greater numbers of female and total faculty. It was also likely that a larger resident cohort size may affect female resident representation. The proportions of female faculty, program director, and chairperson gender, as well as the US region, were not associated with variation in female resident gender representation.

A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI.

Breast density, or the amount of fibroglandular tissue (FGT) relative to the overall breast volume, increases the risk of developing breast cancer. Although previous studies have utilized deep learning to assess breast density, the limited public availability of data and quantitative tools hinders the development of better assessment tools. Our objective was to (1) create and share a large dataset of pixel-wise annotations according to well-defined criteria, and (2) develop, evaluate, and share an automated segmentation method for breast, FGT, and blood vessels using convolutional neural networks. We used the Duke Breast Cancer MRI dataset to randomly select 100 MRI studies and manually annotated the breast, FGT, and blood vessels for each study. Model performance was evaluated using the Dice similarity coefficient (DSC). The model achieved DSC values of 0.92 for breast, 0.86 for FGT, and 0.65 for blood vessels on the test set. The correlation between our model's predicted breast density and the manually generated masks was 0.95. The correlation between the predicted breast density and qualitative radiologist assessment was 0.75. Our automated models can accurately segment breast, FGT, and blood vessels using pre-contrast breast MRI data. The data and the models were made publicly available.

Factors Contributing to Disproportionate Burnout in Women Breast Imaging Radiologists: A Review.

Physician burnout continues to increase in prevalence and disproportionately affects women physicians. Breast imaging is a woman-dominated subspeciality, and therefore, worsening burnout among women physicians may have significant repercussions on the future of the breast imaging profession. Systemic and organizational factors have been shown to be the greatest contributors to burnout beyond individual factors. Based on the Mayo Model, we review the evidence regarding the 7 major organizational contributors to physician burnout and their potential disproportionate impacts on women breast radiologists. The major organizational factors discussed are work-life integration, control and flexibility, workload and job demands, efficiency and resources, finding meaning in work, social support and community at work, and organizational culture and values. We also propose potential strategies for institutions and practices to mitigate burnout in women breast imaging radiologists. Many of these strategies could also benefit men breast imaging radiologists, who are at risk for burnout as well.

Current Practice and Variation in Same-Day Services in Breast Imaging: A Multi-Institutional National Survey of the Society of Breast Imaging Membership.

OBJECTIVE: The availability of same-day services in breast imaging is an important topic given potential advantages for timely diagnoses and patient experiences, but there are potential barriers that lead facilities to not offer these services. We sought to understand current practice patterns and radiologist perspectives on offering same-day services. METHODS: The Society of Breast Imaging (SBI) Patient Care & Delivery Committee developed a 19-question survey that was emailed to all 3449 active members of the SBI in May 2023. An exemption from the institutional review board was obtained at the lead author's institution. The survey consisted of 19 questions that were designed to understand the scope, perceptions, barriers, and logistics of same-day services. Comparisons were made between responses for offering same-day services (screening interpretation, diagnostic examinations, biopsies) and respondent demographics. RESULTS: A total of 437 American and Canadian members participated, yielding a response rate of 12.7%. Respondents were most commonly in private practice (43.0%, 188/437), working in an outpatient medical center-based clinic (41.9%, 183/437), and without trainees (64.5%, 282/437). Respondents estimated 12.1% of screening examinations were interpreted while patients waited, which was significantly more common in free-standing breast imaging clinics (P = .028) and practices without trainees (P = .036). Respondents estimated 15.0% of diagnostic examinations were performed same day, which was more common in academic and private practices (P = .03) and practices without trainees (P = .01). Respondents estimated 11.5% of biopsies were performed the same day as the recommendation, which had no association with practice type/context, presence of trainees, number of mammography units, number of radiologists, or number of technologists. Long patient travel distance and limited patient mobility were the most cited reasons for offering patients same-day services. CONCLUSION: Offering same-day breast imaging services varies among institutions and may be influenced by factors such as practice context and type and the presence of trainees.

Optimizing the Patient Experience for Women With Disabilities in the Breast Imaging Clinic.

While there are varying opinions on what age to begin and at what interval to perform breast cancer screening, screening mammography is recommended for all women irrespective of disability. Unfortunately, women with disabilities are more likely to present with later-stage disease and higher mortality owing to the barriers for more widespread screening in this population. Women with disabilities may experience challenges accessing breast imaging services, and imaging centers may have suboptimal facilities and staff who are inexperienced in caring for this population. Efforts to increase accessibility by employing universal design to increase ease of access and provide training to improve the patient experience will go far to improve outcomes for patients with disabilities. To date, there exists no comprehensive guidance on how to improve breast cancer screening programs for women with disabilities. The purpose of this paper is to review barriers to screening faced by patients with disabilities, describe strategies to overcome these barriers, and provide guidance for radiologists and referring providers in selecting the best exam for the individual patient.

Breast Radiologists' Perceptions on the Detection and Management of Invasive Lobular Carcinoma: Most Agree Imaging Beyond Mammography Is Warranted.

OBJECTIVE: To determine breast radiologists' confidence in detecting invasive lobular carcinoma (ILC) on mammography and the perceived need for additional imaging in screening and preoperative settings. METHODS: A 16-item anonymized survey was developed, and IRB exemption obtained, by the Society of Breast Imaging (SBI) Patient Care and Delivery Committee and the Lobular Breast Cancer Alliance. The survey was emailed to 2946 radiologist SBI members on February 15, 2023. The survey recorded demographics, perceived modality-specific sensitivity for ILC to the nearest decile, and opinions on diagnosing ILC in screening and staging imaging. Five-point Likert scales were used (1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, 5 = strongly agree). RESULTS: Response rate was 12.4% (366/2946). Perceived median (interquartile range) modality-specific sensitivities for ILC were MRI 90% (80-90), contrast-enhanced mammography 80% (70-90), molecular breast imaging 80% (60-90), digital breast tomosynthesis 70% (60-80), US 60% (50-80), and 2D mammography 50% (30-60). Only 25% (85/340) respondents were confident in detecting ILC on screening mammography in dense breasts, while 67% (229/343) were confident if breasts were nondense. Most agreed that supplemental screening is needed to detect ILC in women with dense breasts (272/344, 79%) or a personal history of ILC (248/341, 73%), with 34% (118/334) indicating that supplemental screening would also benefit women with nondense breasts. Most agreed that additional imaging is needed to evaluate extent of disease in women with newly diagnosed ILC, regardless of breast density (dense 320/329, 97%; nondense 263/329, 80%). CONCLUSION: Most breast radiologists felt that additional imaging beyond mammography is needed to more confidently screen for and stage ILC.

Classification performance bias between training and test sets in a limited mammography dataset.

OBJECTIVES: To assess the performance bias caused by sampling data into training and test sets in a mammography radiomics study. METHODS: Mammograms from 700 women were used to study upstaging of ductal carcinoma in situ. The dataset was repeatedly shuffled and split into training (n = 400) and test cases (n = 300) forty times. For each split, cross-validation was used for training, followed by an assessment of the test set. Logistic regression with regularization and support vector machine were used as the machine learning classifiers. For each split and classifier type, multiple models were created based on radiomics and/or clinical features. RESULTS: Area under the curve (AUC) performances varied considerably across the different data splits (e.g., radiomics regression model: train 0.58-0.70, test 0.59-0.73). Performances for regression models showed a tradeoff where better training led to worse testing and vice versa. Cross-validation over all cases reduced this variability, but required samples of 500+ cases to yield representative estimates of performance. CONCLUSIONS: In medical imaging, clinical datasets are often limited to relatively small size. Models built from different training sets may not be representative of the whole dataset. Depending on the selected data split and model, performance bias could lead to inappropriate conclusions that might influence the clinical significance of the findings. ADVANCES IN KNOWLEDGE: Performance bias can result from model testing when using limited datasets. Optimal strategies for test set selection should be developed to ensure study conclusions are appropriate.

Breast Cancer Screening and Treatment Clinical Trials Updated for 2023.

There are many active or recently completed breast cancer screening and treatment trials in 2023 that have the potential to fundamentally change the way breast radiologists practice medicine. Breast cancer screening trials may provide evidence to support supplemental screening beyond mammography to include US, contrast-enhanced mammography, and breast MRI. Furthermore, there are multiple efforts to support risk-adaptive screening strategies that would personalize screening modalities, frequencies, and ages of initiation. For breast cancer treatment, aims to reduce overtreatment may provide nonsurgical treatment options for women with low-risk breast cancer. Breast radiologists must be familiar with the study designs, major inclusion and exclusion criteria, and principal endpoints in order to determine when and how the study results should influence clinical care. As multidisciplinary team members, breast radiologists will have major roles in the success or failure of these trials as they transition from research to actual clinical practice.

Imaging Changes and Outcomes of Patients Undergoing Active Monitoring for Ductal Carcinoma In Situ: Seven-Year Follow-up Study.

RATIONALE AND OBJECTIVES: To determine the imaging changes and their associated positive predictive value (PPV) for invasive breast cancer in women undergoing active monitoring for ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: In this seven-year follow-up retrospective IRB-exempted cohort study, we reviewed patients diagnosed with DCIS who elected active monitoring between 2003 and 2022 at a single academic institution. Imaging characteristics, histopathology at initial diagnosis, and subsequent follow-up were recorded. Low-risk DCIS was defined as low or intermediate grade and hormone receptor (HR) positive (estrogen and/or progesterone receptor positive) disease diagnosed in women at least 40 years of age. Progression was defined as subsequent ipsilateral invasive breast cancer diagnosis. RESULTS: There were 39 patients with a median age of 58.4 years (IQR: 51.1-69.6 years) and a median follow-up of 4.3 years (range: 0.6-16.4 years). Nearly two thirds of patients (64%, 25/39) had stable imaging (range: 0.6-16.4 years) and remained progression-free during active monitoring. Among the remaining 14 patients (36%), there were 24 imaging findings which prompted 22 subsequent core needle biopsies (range: 1-3 biopsies per patient) and two surgical biopsies. The PPV of invasive cancer was 29% (7/24) overall and 38% (3/8) for masses, 33% (3/9) for calcifications, 17% (1/6) for non-mass enhancement, and 0% (0/1) for architectural distortion. CONCLUSION: Of the radiographic changes prompting an additional biopsy, development of a new mass (38%) and new calcifications (33%) had the highest PPV for invasive progression. Close imaging follow-up should be a critical component for patients undergoing monitoring for DCIS.

Evolving Treatment Paradigms for Low-Risk Ductal Carcinoma In Situ: Imaging Needs.

Ductal carcinoma in situ (DCIS) is a nonobligate precursor to invasive cancer that classically presents as asymptomatic calcifications on screening mammography. The increase in DCIS diagnoses with organized screening programs has raised concerns about overdiagnosis, while a patientcentric push for more personalized care has increased awareness about DCIS overtreatment. The standard of care for most new DCIS diagnoses is surgical excision, but nonsurgical management via active monitoring is gaining attention, and multiple clinical trials are ongoing. Imaging, along with demographic and pathologic information, is a critical component of active monitoring efforts. Commonly used imaging modalities including mammography, ultrasound, and MRI, as well as newer modalities such as contrast-enhanced mammography and dedicated breast PET, can provide prognostic information to risk stratify patients for DCIS active monitoring eligibility. Furthermore, radiologists will be responsible for closely surveilling patients on active monitoring and identifying if invasive progression occurs. Active monitoring is a paradigm shift for DCIS care, but the success or failure will rely heavily on the interpretations and guidance of radiologists.

Rate and Timeliness of Diagnostic Evaluation and Biopsy After Recall From Screening Mammography in the National Mammography Database.

OBJECTIVE: To describe the rate and timeliness of diagnostic resolution after an abnormal screening mammogram in the ACR's National Mammography Database. METHODS: Abnormal screening mammograms (BI-RADS 0 assessment) in the National Mammography Database from January 1, 2008, to December 31, 2021, were retrospectively identified. The rates and timeliness of follow-up with diagnostic evaluation and biopsy were assessed and compared across patient and facility demographics. RESULTS: Among the 2,874,310 screening mammograms reported as abnormal, follow-up was documented in 66.4% (n = 1,909,326). Lower follow-up rates were observed in younger women (59.4% in women < 30 years, 63.2% in women 30-39 years), Black (57.4%) and American Indian (59.5%) women, and women with no breast cancer family history (63.0%). The overall median time to diagnostic evaluation was 9 days. Longer median diagnostic evaluation time was noted in Black (14 days), other or mixed race (14 days), and Hispanic women (13 days). Of the 318,977 recalled screening mammograms recommended for biopsy, 238,556 (74.8%) biopsies were documented. Lower biopsy rates were noted in older women (71.5% in women aged ≥80) and Black (71.5%) and American Indian (52.2%) women. The overall median time from diagnostic evaluation to biopsy was 21 days. Longer median biopsy time was noted in older (23 days aged ≥80), Black (25 days), mixed or other race (26 days), and Hispanic women (23 days), and rural (24 days) or community hospital affiliated facilities (22 days). DISCUSSION: There is variability in the rates and timeliness of diagnostic evaluation and biopsy in women with abnormal screening mammogram. Subsets of women and facilities could benefit from targeted interventions to promote timely diagnostic resolution and biopsy after an abnormal screening mammogram.

Screening mammographic performance by race and age in the National Mammography Database: 29,479,665 screening mammograms from 13,181,241 women.

PURPOSE: There are insufficient large-scale studies comparing the performance of screening mammography in women of different races. This study aims to compare the screening performance metrics across racial and age groups in the National Mammography Database (NMD). METHODS: All screening mammograms performed between January 1, 2008, and December 31, 2021, in women aged 30-100 years from 746 mammography facilities in 46 U.S. states in the NMD were included. Patients were stratified by 10-year age intervals and 5 racial groups (African American, American Indian, Asian, White, unknown). Incidence of risk factors (breast density, personal history, family history of breast cancer, age), and time since prior exams were compared. Five screening mammography metrics were calculated: recall rate (RR), cancer detection rate (CDR), positive predictive values for recalls (PPV1), biopsy recommended (PPV2) and biopsy performed (PPV3). RESULTS: 29,479,655 screening mammograms performed in 13,181,241 women between January 1, 2008, and December 31, 2021, from the NMD were analyzed. The overall mean performance metrics were RR 10.00% (95% CI 9.99-10.02), CDR 4.18/1000 (4.16-4.21), PPV1 4.18% (4.16-4.20), PPV2 25.84% (25.72-25.97), PPV3 25.78% (25.66-25.91). With advancing age, RR significantly decreases, while CDR, PPV1, PPV2, and PPV3 significantly increase. Incidence of personal/family history of breast cancer, breast density, age, prior mammogram availability, and time since prior mammogram were mostly similar across all races. Compared to White women, African American women had significantly higher RR, but lower CDR, PPV1, PPV2 and PPV3. CONCLUSIONS: Benefits of screening mammography increase with age, including for women age > 70 and across all races. Screening mammography is effective; with lower RR and higher CDR, PPV2, and PPV3 with advancing age. African American women have poorer outcomes from screening mammography (higher RR and lower CDR), compared to White and all women in the NMD. Racial disparity can be partly explained by higher rate of African American women lost to follow up.

Patient Preferences of Breast Radiologists' Attire and Appearance.

RATIONALE AND OBJECTIVES: To assess patient preferences for breast radiologists' attire and appearance. MATERIALS AND METHODS: A multi-institutional anonymous, voluntary 19-question survey was administered to patients undergoing screening and diagnostic mammography examinations over a 5-week period. Using a 5-point Likert scale, respondents were asked about their preferences for gender-neutral attire (white coat), male-presenting attire (scrubs, dress shirt with tie, or dress shirt without tie), and female-presenting attire (scrubs, dress, blouse with pants, and blouse with skirt). Patient responses were compared to demographic data using bivariable analysis and multivariable regression. RESULTS: Response rate was 84.7% (957/1130). Mean respondent age was 57.2 years±11.9. Most respondents agreed/strongly agreed that the breast radiologist's appearance mattered (52.5%, 502/956) followed by being indifferent (28.1%, 269/956). Respondents with greater education levels felt less strongly (p=0.001) about the radiologist's appearance: 63.3% (70/110) less than college cared about appearance compared to 53.5% (266/497) college/vocational and 47.4% (165/348) graduate. Most respondents felt indifferent about a breast radiologist wearing a white coat (68.9%, 657/954) or about male-presenting breast radiologists wearing a tie (77.1%, 734/952) without significant demographic differences. Almost all respondents either prefer/strongly prefer (60.1%, 572/951) or were indifferent (39.6%, 377/951) to all breast radiologists wearing scrubs when performing procedures. While respondents approved of all attire choices overall, most respondents preferred scrubs for both male- and female-presenting breast radiologists (64.0%, 612/957 and 64.9%, 621/957, respectively). CONCLUSION: A variety of breast radiologists' attire can be worn while maintaining provider professionalism and without compromising patient expectations.

Medical student perspectives on radiology subspecialties prior to core clerkship.

RATIONALE AND OBJECTIVES: Radiology remains underrepresented in U.S. medical school clinical curricula, and preconceived opinions about the field may impact whether students pursue elective exposure. A core radiology clerkship at one academic institution presents an opportunity to evaluate students' early preferences for different radiology subspecialties, thus informing curricular design and inspiring student recruitment. MATERIALS AND METHODS: At a single allopathic medical school, a required, four-week, clinical-year radiology clerkship that occurs in the second year includes immersive one-week experiences in two subspecialties. Prior to their clerkship, students rank their immersion preferences by distributing 100 points across eight fields, the values of which were analyzed as a proxy for interest. A secondary survey was distributed to active first- and second-year medical students to further investigate the factors drawing them to radiology. RESULTS: Immersive experiences in musculoskeletal, body, and breast imaging were most preferred, earning ≥20 points from 41.6 %, 34.3 %, and 31.9 % of students, respectively. Women were significantly more likely than men to express interest in breast imaging (35.8 % vs. 24.8 %, p = 0.037) and pediatric radiology (28.8 % vs. 12.8 %, p = 0.001). Men were significantly more likely than women to prefer body imaging (41.9 % vs. 30.2 %, p = 0.034), neuroradiology (29.1 % vs. 19.5 %, p = 0.048), and nuclear medicine (11.1 % vs. 5.1 %, p = 0.044). CONCLUSION: Early in their clinical education, medical students prefer certain subspecialties, especially musculoskeletal, body, and breast imaging. Women expressed significantly stronger interest in breast imaging and pediatric radiology, while men indicated significantly stronger interest in body imaging, neuroradiology, and nuclear medicine.

Language Patterns in Letters of Recommendation for Residency Applicants in Otolaryngology.

OBJECTIVE: Assess for gender and race patterns in agentic and communal language used in letters of recommendation for Otolaryngology-Head and Neck Surgery (OHNS) residency applicants. STUDY DESIGN: Retrospective content analysis. SETTING: Applications from OHNS applications at a single training institution for the 2019 and 2020 match cycles. METHODS: A total of 2283 letters of recommendation for 611 OHNS applicants were analyzed. Applicant and letter writer gender, applicant race and ethnicity, and applicant characteristics including United States Medical Licensing Examination® Step 1 score, research productivity, and medical school rank were extracted. Agentic and communal word use from the letters of recommendation was compared across applicant and writer characteristics using multilevel negative binomial regression modeling. RESULTS: Letter writers use a greater rate of agentic terms when describing applicants who self-identify as Asian (incidence rate ratio [IRR] = 1.16, p < .01) or "Other/not reported" (IRR = 1.23, p < .01) as compared to white applicants. Further, standardized letters of evaluation had significantly more communal language and less agentic language. Although there was an increase in communal language in letters for female applicants compared to male applicants, these gender differences disappeared in the multivariate model. CONCLUSION: Multivariate analysis demonstrated no significant gender-based patterns in the communal or agentic language in letters of recommendation for OHNS residency applicants. However, letters for applicants identifying as Asian or "other/not reported" had more frequent use of agentic terms. Future studies should investigate other components of residency applications to assess how gender and race bias might unfairly influence an applicant's chances at a given program.