Diagnostic Radiography Technology Department, Faculty of Applied Medical Sciences, King Abdul-Aziz University, Jeddah, Saudi Arabia.
Medical Image Optimisation and Perception Group (MIOPeG), Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Cancer Causes Control. 2020 Aug;31(8):749-765. doi: 10.1007/s10552-020-01316-x. Epub 2020 May 14.
To investigate the association between mammographic density (MD) phenotypes and both clinicopathologic features of breast cancer (BC) and tumor location.
MD was measured for 297 BC-affected females using qualitative (visual method) and quantitative (fully automated area-based method) approaches. Radiologists' description, visible external markers, and surgical scar were used to establish the location of tumors. Binary logistic regression models were used to assess the association between MD phenotypes and BC clinicopathologic features.
Categorical and numerical MD measures showed no association with clinicopathologic features of BC (p > 0.05). Participants with higher BI-RADS scores [(51-75% glandular) and (> 75% glandular)] (p < 0.001), and percent density (PD) categories [PD (21-49%) and PD ≥ 50%] (p = 0.01) were more likely to have tumors emanating from dense areas. Additionally, tumors were commonly found in dense regions of the breast among patients with higher medians of PD (p = 0.001), dense area (DA) (p = 0.02), and lower medians of non-dense area (NDA) (p < 0.001). Adjusted logistic regression models showed that high BI-RADS density (> 75% glandular) has an almost fivefold increased odds of tumors developing within dense areas (OR 4.99, 95% CI 0.93-25.9; p = 0.05. PD (OR 1.02, 95% CI 1-1.03, p = 0.002) and NDA (OR 0.99, 95% CI 0.991-0.997, p < 0.001) had very small effect on tumor location. Compared to tumors within non-dense areas, tumors in dense areas tended to exhibit human epidermal growth factor receptor 2 positive (p = 0.05) and carcinoma in situ (p = 0.01) characteristics.
MD shows no significant association with clinicopathologic features of BC. However, BC was more likely to originate from dense tissue, with tumors in dense regions having human epidermal growth receptor 2 positive and carcinoma in situ characteristics.
探讨乳腺密度（MD）表型与乳腺癌（BC）的临床病理特征和肿瘤位置之间的关系。
采用定性（视觉法）和定量（全自动面积法）两种方法对 297 名 BC 患者的 MD 进行测量。放射科医生的描述、可见的外部标志物和手术疤痕用于确定肿瘤的位置。采用二项逻辑回归模型评估 MD 表型与 BC 临床病理特征之间的关系。
分类和数值 MD 测量与 BC 的临床病理特征无相关性（p>0.05）。BI-RADS 评分较高的患者[（51-75%腺体）和（>75%腺体）]（p<0.001）和密度百分比（PD）类别[PD（21-49%）和 PD≥50%]（p=0.01）更有可能从致密区出现肿瘤。此外，在 PD 中位数较高的患者中，乳腺致密区更常见肿瘤（p=0.001），致密区（DA）（p=0.02）和非致密区（NDA）中位数较低（p<0.001）。调整后的逻辑回归模型显示，高 BI-RADS 密度（>75%腺体）发生在致密区的肿瘤的可能性几乎增加了五倍（OR 4.99，95%CI 0.93-25.9；p=0.05）。PD（OR 1.02，95%CI 1-1.03，p=0.002）和 NDA（OR 0.99，95%CI 0.991-0.997，p<0.001）对肿瘤位置的影响很小。与非致密区的肿瘤相比，致密区的肿瘤倾向于表现出人类表皮生长因子受体 2 阳性（p=0.05）和原位癌（p=0.01）特征。
MD 与 BC 的临床病理特征无显著相关性。然而，BC 更有可能起源于致密组织，且致密区的肿瘤具有人类表皮生长因子受体 2 阳性和原位癌特征。
