■乳腺癌是女性最常见的癌症,有显著的死亡率。乳房X线照相术是乳腺疾病的常规检查。乳腺癌的一个已知风险因素是乳腺密度增加。这里,我们试图观察乳房摄影密度是否也影响乳腺癌的激素受体状态,这将有助于了解乳腺癌发展的生物学机制。
■LokNayak医院的疑似乳腺癌患者,德里,在放射科接受了乳房X线照相术。使用HologicQuantra软件版本2.1.1[区域乳腺密度(ABD)]评估肿块对侧的乳腺密度。在组织病理学上记录所有肿瘤的激素受体状态。其中,100例确诊病例纳入研究。
■ER阳性,PR-positive,和HER2阳性肿瘤见于41%,33%,34%的患者,分别。关于ER受体状态,阳性和阴性肿瘤的平均ABD分别为27%和23%,分别,p值=0.01,显示它们之间的显着关系。HER2阳性和阴性肿瘤的平均ABD为25%和24%,分别,p值=0.75。PR阳性和PR阴性肿瘤的平均ABD为23%和25%,分别,p值=0.42(不显著)。
■我们发现ER阳性肿瘤常见于致密的乳房,具有统计学意义。然而,PR和HER2受体状态并非如此.使用计算机软件研究MD及其对激素受体状态的影响的研究有限,结果相互矛盾。Further,大,多中心研究有助于了解乳腺癌的发生机制,并为乳腺癌患者提供更好的治疗方法。
UNASSIGNED: Breast cancer is the most frequent cancer in women, with significant mortality. Mammography is a routine investigation for breast disease. A known risk factor for breast cancer is increased breast density. Here, we tried to observe if mammographic density also affects the hormone receptor status of breast cancer, which will help in the understanding of the biological mechanisms of breast cancer development.
UNASSIGNED: Suspected breast cancer patients at Lok Nayak Hospital, Delhi, underwent mammography in the Department of Radiodiagnosis. The density of breast contralateral to the mass was assessed using Hologic Quantra software version 2.1.1 [Area Breast Density(ABD)]. The hormone receptor status of all the tumours was recorded on histopathology. Of these, 100 confirmed cases were included in the study.
UNASSIGNED: ER-positive, PR-positive, and HER2-positive tumours were seen in 41%, 33%, and 34% patients, respectively. Regarding ER receptor status, the mean ABD for positive and negative tumours was 27% and 23%, respectively, p-value = 0.01, showing significant relation between them. Mean ABD for HER2-positive and -negative tumours was 25% and 24%, respectively, p-value = 0.75. Mean ABD for PR-positive and PR-negative tumours was 23% and 25%, respectively, p-value = 0.42 (not significant).
UNASSIGNED: We found that ER-positive tumours were common in dense breasts, which was statistically significant. However, this was not true for PR and HER2 receptor status. Limited studies have been done to study MD using computerised software and its effect on hormone receptor status, with conflicting results. Further, large, multicentric studies can be useful in understanding the mechanism and providing better treatment for breast cancer patients.