医学
冠状动脉疾病
计算机辅助设计
混淆
乳腺摄影术
乳腺癌
疾病
风险因素
人口
内科学
环境卫生
癌症
工程类
工程制图
作者
Mu'ath Ibrahim,Moayyad E. Suleiman,Ziba Gandomkar,Amir Tavakoli Taba,Clare Arnott,Louisa Jorm,J. Barraclough,Sebastiano Barbieri,Patrick C. Brennan
出处
期刊:Journal of Womens Health
[Mary Ann Liebert, Inc.]
日期:2023-05-01
卷期号:32 (5): 529-545
标识
DOI:10.1089/jwh.2022.0394
摘要
Cardiovascular diseases (CVD), including coronary artery disease (CAD), continue to be the leading cause of global mortality among women. While traditional CVD/CAD prevention tools play a significant role in reducing morbidity and mortality among both men and women, current tools for preventing CVD/CAD rely on traditional risk factor-based algorithms that often underestimate CVD/CAD risk in women compared with men. In recent years, some studies have suggested that breast arterial calcifications (BAC), which are benign calcifications seen in mammograms, may be linked to CVD/CAD. Considering that millions of women older than 40 years undergo annual screening mammography for breast cancer as a regular activity, innovative risk prediction factors for CVD/CAD involving mammographic data could offer a gender-specific and convenient solution. Such factors that may be independent of, or complementary to, current risk models without extra cost or radiation exposure are worthy of detailed investigation. This review aims to discuss relevant studies examining the association between BAC and CVD/CAD and highlights some of the issues related to previous studies' design such as sample size, population types, method of assessing BAC and CVD/CAD, definition of cardiovascular events, and other confounding factors. The work may also offer insights for future CVD risk prediction research directions using routine mammograms and radiomic features other than BAC such as breast density and macrocalcifications.
科研通智能强力驱动
Strongly Powered by AbleSci AI