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乳腺钼靶影像模式:混杂因素与乳腺癌风险因素的交织

Breast mammographic pattern: a concatenation of confounding and breast cancer risk factors.

作者信息

Bartow S A, Pathak D R, Mettler F A, Key C R, Pike M C

机构信息

Department of Pathology, School of Medicine, University of New Mexico, Albuquerque, USA.

出版信息

Am J Epidemiol. 1995 Oct 15;142(8):813-9. doi: 10.1093/oxfordjournals.aje.a117720.

Abstract

A mammographic pattern of > 25% radiodensity is associated with increased risk for breast cancer. Mammographic pattern is influenced by age, body weight, reproductive factors, and race/ethnicity. The interaction among these factors in predicting breast radiographic pattern, and their association with the presence of histologic markers of increased risk of breast cancer, is poorly defined. To elucidate the relations among epidemiologic, radiographic, and histologic markers of breast cancer risk, the authors studied these factors in an unselected forensic autopsy series, accumulated between 1978 and 1983, of 486 women aged 15-98 years at death. Older age and/or postmenopausal status was the strongest predictor of radiolucent breast pattern. Obesity, defined as a Quetelet index (weight(kg)/height(m)2) of > 25, and large breast size were also highly significant predictors of breast radiolucency. Factors related to parity were not significant predictors of breast parenchymal pattern. Native American race was an independent predictor of breast radiolucency in this population. A dense parenchymal pattern was associated with increased prevalence of marked cystic change and the presence of duct epithelial hyperplasia in women under age 35. The results support the association of breast radiodensity with ethnic/racial, reproductive, and histologic factors predictive of cancer risk. However, this association is overshadowed by the effects of obesity and aging or menopause.

摘要

乳房X线摄影中放射性密度>25%的模式与乳腺癌风险增加相关。乳房X线摄影模式受年龄、体重、生殖因素和种族/民族的影响。这些因素在预测乳房X线摄影模式中的相互作用,以及它们与乳腺癌风险增加的组织学标志物存在的关联,目前尚不清楚。为了阐明乳腺癌风险的流行病学、影像学和组织学标志物之间的关系,作者在1978年至1983年间积累的一个未选择的法医尸检系列中研究了这些因素,该系列包括486名死亡时年龄在15-98岁之间的女性。年龄较大和/或绝经后状态是乳房透光模式最强的预测因素。肥胖(定义为奎特莱指数(体重(kg)/身高(m)²)>25)和乳房尺寸较大也是乳房透光性的高度显著预测因素。与产次相关的因素不是乳房实质模式的显著预测因素。在该人群中,美洲原住民种族是乳房透光性的独立预测因素。致密的实质模式与35岁以下女性明显囊性改变的患病率增加以及导管上皮增生的存在相关。结果支持乳房放射性密度与预测癌症风险的种族/民族、生殖和组织学因素之间的关联。然而,这种关联被肥胖、衰老或绝经的影响所掩盖。

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