Incidental breast cancer detection during awareness Campaigns: A multicentre mammography study from Taif, Saudi Arabia
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Breast cancer is the most common cancer among women globally and a leading cause of cancer-related deaths. In Saudi Arabia, it accounts for nearly one-third of female cancer cases. While awareness campaigns promote early detection, incidental findings from screenings are often understudied. Aim This study assessed the prevalence of incidental breast cancer findings via mammography during Breast Cancer Awareness Campaigns in Taif, Saudi Arabia, examining age, breast density, and BI-RADS classifications to optimize screening strategies. Method ology: A retrospective analysis of 4519 mammograms from four Taif hospitals (2023–2024 campaigns) was conducted. Each breast was treated as a separate case. BI-RADS scores, age groups, and breast density were analyzed using descriptive statistics and Chi-Square Tests of Independence and logistic regression analysis. Results Most participants were aged 40–59, with BI-RADS 1 (Negative) and 2 (Benign) being most common. Older women (60+) had higher rates of suspicious/malignant findings (BI-RADS 4–6). Dense breasts correlated with BI-RADS 0 (Incomplete) and 4 (Suspicious), indicating diagnostic challenges. Age and breast density significantly influenced BI-RADS outcomes ( p < 0.0001). The logistic regression analysis showed that both age and breast density were significant predictors of higher BI-RADS categories. Conclusion Awareness campaign screenings are vital for early detection. Personalized approaches, especially for women over 60 and those with dense breasts, are needed, potentially incorporating adjunct imaging to enhance accuracy.
Authors: Sahal Alotaibi, Reem Kalakattawi, Adel Alshehri, Shatha Alshehri, Hanadi Alshahrani, Ashwaq Alotabi, Futun Alqahtani, Bayan Mohammed, Hamid Osman, Abdulrahman Algarni, Mayeen Uddin Khandaker
Institutions: Taif University, Armed Forces Hospital, Northern Border University
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,400
Funder: Taif University
OpenAlex ID: W4413682170
