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首页> 外文期刊>Academic radiology >Mammographic parenchymal patterns as an imaging marker of endogenous hormonal exposure. A preliminary study in a high-risk population
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Mammographic parenchymal patterns as an imaging marker of endogenous hormonal exposure. A preliminary study in a high-risk population

机译：乳房xmography实质图案作为内源性荷尔蒙暴露的成像标记。 高风险群体初步研究

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摘要

Rationale and Objectives: Parenchymal texture patterns have been previously associated with breast cancer risk, yet their underlying biological determinants remain poorly understood. Here, we investigate the potential of mammographic parenchymal texture as a phenotypic imaging marker of endogenous hormonal exposure. Materials and Methods: A retrospective cohort study was performed. Digital mammography (DM) images in the craniocaudal (CC) view from 297 women, 154 without breast cancer and 143 with unilateral breast cancer, were analyzed. Menopause status was used as a surrogate of cumulative endogenous hormonal exposure. Parenchymal texture features were extracted and mammographic percent density (MD%) was computed using validated computerized methods. Univariate and multivariable logistic regression analysis was performed to assess the association between texture features and menopause status, after adjusting for MD% and hormonally related confounders. The receiver operating characteristic (ROC) area under the curve (AUC) of each model was estimated to evaluate the degree of association between the extracted mammographic features and menopause status. Results: Coarseness, gray-level correlation, and fractal dimension texture features have a significant independent association with menopause status in the cancer-affected population; skewness and fractal dimension exhibit a similar association in the cancer-free population (P < .05). The ROC AUC of the logistic regression model including all texture features was 0.70 (P < .05) for cancer-affected and 0.63 (P < .05) for cancer-free women. Texture features retained significant association with menopause status (P < .05) after adjusting for MD%, age at menarche, ethnicity, contraception use, hormone replacement therapy, parity, and age at first birth. Conclusion: Mammographic texture patterns may reflect the effect of endogenous hormonal exposure on the breast tissue and may capture such effects beyond mammographic density. Differences in texture features between pre- and postmenopausal women are more pronounced in the cancer-affected population, which may be attributed to an increased association to breast cancer risk. Texture features could ultimately be incorporated in breast cancer risk assessment models as markers of hormonal exposure. ? 2013 AUR.
机译：理由和目标：实质纹理图案都与乳腺癌的风险先前有关，但其潜在的生物学因素仍知之甚少。在这里，我们探讨乳腺实质的纹理内源性的激素暴露的表型成像标记的潜力。材料与方法：进行了回顾性队列研究。数字乳腺（DM）在从297名妇女，154没有乳腺癌和143单侧乳腺癌头尾（CC）视图图像，进行了分析。更年期状态作为内源性累计荷尔蒙曝光的替代。实质纹理特征提取和乳房X线照相密度百分比（MD％）使用验证计算机化方法计算。单因素和多因素Logistic回归分析进行评估纹理特征和更年期状态之间的关联，调整MD％和激素相关的混杂因素后。每个模型的曲线（AUC）下的接收器操作特性（ROC）面积估计来评估所提取的乳房X线照相的特点和绝经状态之间的关联度。结果：粗糙度，灰度级的相关性，以及分形维数的纹理特征具有与在癌症影响人口绝经状态的显著独立关联;偏度和分形维数表现出在无癌症人群中类似的相关性（P <0.05）。逻辑回归模型，包括所有的纹理特征的ROC AUC是癌症影响和0.63（P <0.05）为无癌女性0.70（P <0.05）。纹理特征首次生育调整MD％，初潮年龄，种族，避孕，激素替代疗法，奇偶校验和年龄后保留与绝经状态（P <0.05）显著关联。结论：X线纹理图案可能反映在乳房组织内源性荷尔蒙曝光的效果，并且可以捕获超出乳腺密度这样的效果。前和绝经后妇女之间的纹理特征的差异更为显着的癌症影响的人口，这可能是由于增加的关联患乳腺癌的风险。纹理特征最终可能患乳腺癌的风险评估模型被合并荷尔蒙曝光的标记。还2013年AUR。

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  • 来源
    《Academic radiology》 |2013年第5期|共12页
  • 作者

    DayeD.; KellerB.; ConantE.F.; ChenJ.; SchnallM.D.; MaidmentA.D.A.; KontosD.;

  • 作者单位

    Department of Bioengineering University of Pennsylvania 3400 Spruce St. Philadelphia PA 19104;

    Department of Radiology University of Pennsylvania 3400 Spruce St. Philadelphia PA 19104 United;

    Department of Radiology University of Pennsylvania 3400 Spruce St. Philadelphia PA 19104 United;

    Department of Biostatistics and Epidemiology University of Pennsylvania 3400 Spruce St.;

    Department of Radiology University of Pennsylvania 3400 Spruce St. Philadelphia PA 19104 United;

    Department of Radiology University of Pennsylvania 3400 Spruce St. Philadelphia PA 19104 United;

    Department of Radiology University of Pennsylvania 3400 Spruce St. Philadelphia PA 19104 United;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    Breast cancer risk; Digital mammography; Hormonal exposure; Parenchymal texture;

    机译：乳腺癌风险;数字乳房X线照片;荷尔蒙暴露;实质纹理;

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