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

Abstract

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.