Tulane University School of Medicine, New Orleans, LA 70112, USA.
Union Diagnostics and Clinical Services, Lagos 220005, Nigeria.
J Natl Med Assoc. 2021 Feb;113(1):77-87. doi: 10.1016/j.jnma.2020.07.012. Epub 2020 Aug 4.
This study aims to describe the mammographic findings in a population of Nigerian women and to explore the relationships between abnormal mammographic findings, breast malignancy, and breast composition.
This was a retrospective study of consecutive mammograms carried out at Union Diagnostics and Clinical Services in Lagos, Nigeria from 2016 to 2018. Demographic information, indications for and findings on mammographic evaluation were obtained. A logistic regression fit model was used to establish the correlation between mammographic findings, breast density, and suspicion for breast malignancy (higher BIRADS scores). P ≤ 0.05 represented a statistically significant result.
A total of 304 patients were involved in this study (age range 20-80 years, mean age 49.0 ± 10.5 years). The patients between 40 and 49 years formed the largest age group with 128 patients (42.4%). Most patients were referred for a breast mass/lump (115/304-38.6%); 56 patients (18.8%) presenting for routine screening. The most common finding on the mammograms was BIRADS 4 in both breasts in 96 patients (31.6%). Most patients had heterogeneous breast density (195 patients - 64.1%). Multivariate logistic regression analysis showed a significant correlation between history of mass, poorly defined margins, and suspicion of malignancy. There was no statistically significant association between abnormal mammographic findings and higher breast density.
Poorly defined margins were positively correlated with BIRADS ratings suspicious for malignancy. The presence of a breast mass was positively correlated with a higher BIRADS score when other possible cofounding variables were not accounted for. Patient age did not correlate with breast density in this study.
本研究旨在描述尼日利亚女性人群的乳房 X 线摄影表现，并探讨异常乳房 X 线摄影表现、乳房恶性肿瘤以及乳房成分之间的关系。
这是一项回顾性研究，对 2016 年至 2018 年期间在尼日利亚拉各斯的 Union Diagnostics 和临床服务中心进行的连续乳房 X 线摄影进行了研究。获取了人口统计学信息、乳房 X 线摄影评估的指征和结果。使用逻辑回归拟合模型来确定乳房 X 线摄影表现、乳房密度和怀疑乳腺癌之间的相关性（更高的 BIRADS 评分）。P 值≤0.05 代表具有统计学意义的结果。
本研究共纳入 304 例患者（年龄 20-80 岁，平均年龄 49.0±10.5 岁）。40-49 岁的患者年龄最大，有 128 例（42.4%）。大多数患者因乳房肿块/肿块就诊（115/304-38.6%）；56 例（18.8%）为常规筛查就诊。乳房 X 线摄影最常见的表现是双侧乳房的 BIRADS 4 级，共 96 例（31.6%）。大多数患者乳房密度不均匀（195 例，64.1%）。多变量逻辑回归分析显示，肿块史、边界不清和恶性肿瘤可疑之间存在显著相关性。异常乳房 X 线摄影表现与更高的乳房密度之间无统计学显著关联。
边界不清与 BIRADS 可疑恶性肿瘤评分呈正相关。在不考虑其他可能的混杂变量的情况下，乳房肿块的存在与更高的 BIRADS 评分呈正相关。在本研究中，患者年龄与乳房密度无相关性。
