Fatima Kulsoom, Mohsin Farwa, Rao Muhammad O, Alvi Muhammad Ismail
Radiology, Aga Khan University Hospital, Karachi, PAK.
Cureus. 2021 Mar 23;13(3):e14050. doi: 10.7759/cureus.14050.
Introduction Breast density on mammography can affect the sensitivity of breast cancer detection and is an independent risk factor for breast cancer. The incidence of breast cancer in Pakistani women is reported to be the highest among women in Asia. No published data is describing the patterns of mammographic breast density in this population. We undertook this study to assess the Breast Imaging Reporting and Data System (BI-RADS) patterns of breast density on mammography, factors that affect breast density, and inter-observer variability in breast density assessment. Methods Bilateral breast mammograms were retrospectively reviewed for breast density by two separate readers (resident and attending radiologist). Breast density was categorized into four types according to the BI-RADS lexicon. Types 1 and 2 were grouped into non-dense and types 3 and 4 into dense breasts. The association of patient factors with breast density was assessed, with p < 0.05 considered statistically significant. The inter-observer variability in breast density assessment between the two readers was calculated using Cohen's κ coefficient. Results A total of 612 women underwent mammography in the study period. Type 3 (heterogeneously dense breast parenchyma) was the most frequent pattern (51.6%) followed by type 2 (scattered fibroglandular) pattern (38.9%). Fatty parenchyma (type 1) and extremely dense parenchyma (type 4) were the least common. Breast density was inversely related to age (p < 0.001) and parity (p <0.002). Breast density was also lower in postmenopausal women (p < 0.001). There was no statistically significant difference in mean age at menarche, age at first delivery, family history of breast cancer, or presence of cancer among women with dense and non-dense breasts. The inter-observer agreement was almost perfect (κ = 0.86). Conclusion The majority of women in our population (56.9%) had dense breasts (BI-RADS type 3 and 4) which decrease the sensitivity of breast cancer detection on mammography suggesting it may be insufficient as the sole screening/diagnostic tool in this population. Lower breast density was associated with increasing age, parity, and post-menopausal status. Breast density assessment was almost perfect among the resident and attending radiologist.
引言
乳腺钼靶检查中的乳房密度会影响乳腺癌检测的敏感性,并且是乳腺癌的一个独立危险因素。据报道,巴基斯坦女性的乳腺癌发病率在亚洲女性中是最高的。目前尚无已发表的数据描述该人群乳腺钼靶乳房密度的模式。我们开展这项研究以评估乳腺钼靶检查中乳房密度的乳腺影像报告和数据系统(BI-RADS)模式、影响乳房密度的因素以及乳房密度评估中的观察者间变异性。
方法
由两名独立的阅片者(住院医师和主治放射科医生)对双侧乳腺钼靶片进行回顾性乳房密度评估。根据BI-RADS词典,乳房密度分为四种类型。1型和2型归为非致密型,3型和4型归为致密型乳房。评估患者因素与乳房密度的相关性,p<0.05被认为具有统计学意义。使用Cohen's κ系数计算两名阅片者之间乳房密度评估的观察者间变异性。
结果
在研究期间,共有612名女性接受了乳腺钼靶检查。3型(不均匀致密乳腺实质)是最常见的模式(51.6%),其次是2型(散在纤维腺体)模式(38.9%)。脂肪实质(1型)和极度致密实质(4型)最不常见。乳房密度与年龄(p<0.001)和产次(p<0.002)呈负相关。绝经后女性的乳房密度也较低(p<0.001)。致密型和非致密型乳房女性的初潮平均年龄、首次分娩年龄、乳腺癌家族史或癌症存在情况在统计学上无显著差异。观察者间一致性几乎完美(κ=0.86)。
结论
我们研究人群中的大多数女性(56.9%)有致密型乳房(BI-RADS 3型和4型),这降低了乳腺钼靶检查中乳腺癌检测的敏感性,表明在该人群中它可能不足以作为唯一的筛查/诊断工具。较低的乳房密度与年龄增加、产次增加和绝经后状态相关。住院医师和主治放射科医生之间的乳房密度评估几乎完美。