首页> 外文OA文献 >Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants

【2h】

Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants

机译：乳腺癌病理和阶段更好地通过包括乳房X光密度和常见的遗传变异性的风险分层模型预测

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
相似文献
相关主题

著录项

作者
D. Gareth R. Evans; Elaine F. Harkness; Adam R. Brentnall; Elke M. van Veen; Susan M. Astley; Helen Byers; Sarah Sampson; Jake Southworth; Paula Stavrinos; Sacha J. Howell; Anthony J. Maxwell; Anthony Howell; William G. Newman; Jack Cuzick;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants [J] . Evans D. Gareth R., Harkness Elaine F., Brentnall Adam R., Breast cancer research and treatment. . 2019,第1期

机译：乳腺癌病理和阶段更好地通过包括乳房X光密度和常见的遗传变异性的风险分层模型预测
2. Common genetic variants associated with breast cancer and mammographic density measures that predict disease. [J] . Odefrey F, Stone J, Gurrin L Cancer research: The official organ of the American Association for Cancer Research, Inc . 2010,第4期

机译：与乳腺癌相关的常见遗传变异和可以预测疾病的乳房X线密度测量。
3. Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures [J] . Stone Jennifer, Thompson Deborah J., Silva Isabel dos Santos, Cancer research: The official organ of the American Association for Cancer Research, Inc . 2015,第12期

机译：常见乳腺癌易感性变异与风险预测的乳腺X线密度测量之间的新型关联
4. Using a Convolutional Neural Network to Predict Readers' Estimates of Mammographic Density for Breast Cancer Risk Assessment [C] . Georgia V. Ionescu, Martin Fergie, Michael Berks, International Workshop on Breast Imaging . 2018

机译：使用卷积神经网络预测读者对乳腺X线摄影密度的估计，以评估乳腺癌的风险
5. Molecular stress signaling in breast epithelial cells: Characterization of the regulation of the breast cancer susceptibility gene 1 (BCRA1) by stress signaling, and, Design of an epidemiological study examining the effect of glucocorticoid receptor genetic variants on breast cancer risk [D] . Antonova, Lilia 2008

机译：乳腺上皮细胞中的分子应激信号传递：通过应激信号传递来表征乳腺癌易感基因1（BCRA1）的调节，以及一项流行病学研究的设计，旨在研究糖皮质激素受体基因变异对乳腺癌风险的影响
6. Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants [O] . D. Gareth R. Evans, Elaine F. Harkness, Adam R. Brentnall, -1

机译：风险分层模型可更好地预测乳腺癌的病理学和分期包括乳腺X线摄影密度和常见遗传变异
7. Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk [O] . Vachon, Celine M., Scott, Christopher G., Fasching, Peter A., 2012

机译：LSP1和RAD51L1中常见的乳腺癌易感性变异与预测乳腺癌风险的乳腺X线密度测量法相关

Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants

著录项

相似文献

相关主题

期刊订阅