Hanis Tengku Muhammad, Arifin Wan Nor, Haron Juhara, Wan Abdul Rahman Wan Faiziah, Ruhaiyem Nur Intan Raihana, Abdullah Rosni, Musa Kamarul Imran
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
Diagnostics (Basel). 2022 Mar 30;12(4):860. doi: 10.3390/diagnostics12040860.
Mammographic density is a significant risk factor for breast cancer. In this study, we identified the risk factors of mammographic density in Asian women and quantified the impact of breast density on the severity of breast cancer. We collected data from Hospital Universiti Sains Malaysia, a research- and university-based hospital located in Kelantan, Malaysia. Multivariable logistic regression was performed to analyse the data. Five significant factors were found to be associated with mammographic density: age (OR: 0.94; 95% CI: 0.92, 0.96), number of children (OR: 0.88; 95% CI: 0.81, 0.96), body mass index (OR: 0.88; 95% CI: 0.85, 0.92), menopause status (yes vs. no, OR: 0.59; 95% CI: 0.42, 0.82), and BI-RADS classification (2 vs. 1, OR: 1.87; 95% CI: 1.22, 2.84; 3 vs. 1, OR: 3.25; 95% CI: 1.86, 5.66; 4 vs. 1, OR: 3.75; 95% CI: 1.88, 7.46; 5 vs. 1, OR: 2.46; 95% CI: 1.21, 5.02; 6 vs. 1, OR: 2.50; 95% CI: 0.65, 9.56). Similarly, the average predicted probabilities were higher among BI-RADS 3 and 4 classified women. Understanding mammographic density and its influencing factors aids in accurately assessing and screening dense breast women.
乳腺钼靶密度是乳腺癌的一个重要风险因素。在本研究中，我们确定了亚洲女性乳腺钼靶密度的风险因素，并量化了乳腺密度对乳腺癌严重程度的影响。我们从马来西亚理科大学医院收集数据，该医院位于马来西亚吉兰丹，是一家基于研究和大学的医院。采用多变量逻辑回归分析数据。发现有五个显著因素与乳腺钼靶密度相关：年龄（比值比：0.94；95%置信区间：0.92，0.96）、子女数量（比值比：0.88；95%置信区间：0.81，0.96）、体重指数（比值比：0.88；95%置信区间：0.85，0.92）、绝经状态（是与否，比值比：0.59；95%置信区间：0.42，0.82）以及乳腺影像报告和数据系统（BI-RADS）分类（2类与1类，比值比：1.87；95%置信区间：1.22，2.84；3类与1类，比值比：3.25；95%置信区间：1.86，5.66；4类与1类，比值比：3.75；95%置信区间：1.88，7.46；5类与1类，比值比：2.46；95%置信区间：1.21，5.02；6类与1类，比值比：2.50；95%置信区间：0.65，9.56）。同样，BI-RADS分类为3类和4类的女性平均预测概率更高。了解乳腺钼靶密度及其影响因素有助于准确评估和筛查乳腺致密的女性。
