Objective: While the American College of Radiology recommends annual screening mammography starting at age 40 years, the US Preventive Services Task Force (USPSTF) recommends that screening mammography in women younger than age 50 years should involve shared- decision making (SDM) between clinicians and patients, considering benefits and potential harms in younger women. Using a nationally representative cross-sectional survey, we aimed to evaluate patient-reported reasons and predictors of screening mammography utilization in this age group.
Methods: Respondents aged 40-49 years from the 2018 National Health Interview Survey (NHIS) without a history of breast cancer were included (response rate 64%). Participants reported sociodemographic variables and reasons they did not engage in mammography screening within the last two years. Multiple variable logistic regression analyses were performed to evaluate the association between sociodemographic characteristics and patient-reported screening mammography use, accounting for complex survey sampling design elements.
Results: 1,948 women between the ages of 40-49 years were included. Of this group, (758/1948) 46.6% reported receiving a screening mammogram within the last year, and 1196/1948 (61.4%) reported receiving a screening mammogram within the last two years. The most common reasons for not undergoing screening included: "No reason/never thought about it" 744/1948 (38.2%), "Put it off" 343/1948 (17.6%), "Didn't need it" 331/1948 (16.9%), "Doctor didn't order it" 162/1948 (8.3%), and "I'm too young" 63/1948 (5.3%). Multiple variable analyses demonstrated that lack of health insurance was the strongest predictor of mammography non-engagement (p< 0.001).
Conclusion: Deficits in shared- decision-making in women younger than 50 years related to mammography utilization exist. Radiologists may be key in addressing this issue among ambulatory care providers and patients, educating about the benefits and harms of screening younger women, particularly in racial/ethnic minorities and uninsured patients, who experience additional barriers to care and SDM discussions.
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http://dx.doi.org/10.1016/j.acra.2022.07.014 | DOI Listing |
Introduction Incorporation of mammographic density to breast cancer risk models could improve risk stratification to tailor screening and prevention strategies according to risk. Robust evaluation of the value of adding mammographic density to models with comprehensive information on questionnaire-based risk factors and polygenic risk score is needed to determine its effectiveness in improving risk stratification of such models. Methods We used the Individualized Coherent Absolute Risk Estimator (iCARE) tool for risk model building and validation to incorporate density to a previously validated literature-based model with questionnaire-based risk factors and a 313-variant polygenic risk score (PRS).
View Article and Find Full Text PDFRadiol Phys Technol
January 2025
Department of Diagnostic Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan.
Self-supervised learning (SSL) has gained attention in the medical field as a deep learning approach utilizing unlabeled data. The Jigsaw puzzle task in SSL enables models to learn both features of images and the positional relationships within images. In breast cancer diagnosis, radiologists evaluate not only lesion-specific features but also the surrounding breast structures.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Pathology, Affiliated Jinhua Hospital Zhejiang University School of Medicine, Jinhua, Zhejiang, 32100, P. R. China.
Introduction: Mucinous Cystadenocarcinoma (MCA) of the breast remains a relatively rare condition, and to date, there is no systematic summary of its imaging manifestations. Therefore, this report presents a detailed account of the diagnosis and treatment of mucinous cystadenocarcinoma in a 40-year-old woman, with a particular focus on imaging findings. Additionally, we conducted a comprehensive literature review on this disease and summarized its key imaging features.
View Article and Find Full Text PDFBMC Womens Health
January 2025
Department of General Surgery, İstanbul Faculty of Medicine, İstanbul University, İstanbul, 34093, Türkiye.
Background: The Bahçeşehir population-based mammography screening program (BMSP) is an example of Türkiye's first population-based screening program. This study aims to reveal the successful implementation of population-based secreening program in one of the low- and middle-income countries, Türkiye and long-term results of patients diagnosed with breast cancer during BMSP.
Methods: This study was conducted between 2009 and 2019, in the Bahçeşehir county of Istanbul.
Gynecol Oncol
January 2025
New York University Langone Health, Long Island, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Mineola, NY, United States of America. Electronic address:
Objectives: Women with germline BRCA1/2 pathogenic variants (gBRCA1/2) are recommended to undergo annual breast MRI and mammography. Our objective was to describe the frequency of insurance denials for annual breast MRIs in women with gBRCA1/2 and determine denial trends.
Methods: Women with gBRCA1/2 following in a high-risk breast cancer clinic with breast MRIs ordered from 2020 to 2021 were identified and cross-referenced with a database of insurance denials.
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