| 提高乳腺X线摄影对致密型腺体乳腺癌检出率的方法探讨 |
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| 引用本文： | 曲玉虹,李艳玲,曹崑,孙应实. 提高乳腺X线摄影对致密型腺体乳腺癌检出率的方法探讨[J]. 中国医学影像技术, 2017, 33(2): 303-306 |
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| 作者姓名： | 曲玉虹 李艳玲 曹崑 孙应实 |
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| 作者单位： | 北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142,北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142,北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142,北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142 |
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| 基金项目： | 国家自然科学基金（81471640）。 |
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| 摘 要： | 乳腺X线检查在乳腺癌的筛查及早期诊断中具有重要价值。但对于致密型乳腺，乳腺X线检查假阴性率高，早期检出病灶困难，易延误患者的最佳诊疗时机，影响患者预后。本文旨在从提高乳腺X线摄片的质量、BI-RADS分类的应用、辅助手段检查的应用等方面，对提高乳腺X线摄影对致密型腺体乳腺癌检出率的方法进行综述。
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| 关 键 词： | 乳腺肿瘤 致密型腺体 乳房X线摄影术 检出率 |
| 收稿时间： | 2016-07-16 |
| 修稿时间： | 2016-11-18 |
Ways to improve detection rate of breast cancer indense breast tissue with mammography |
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| QU Yuhong,LI Yanling,CAO Kun and SUN Yingshi. Ways to improve detection rate of breast cancer indense breast tissue with mammography[J]. Chinese Journal of Medical Imaging Technology, 2017, 33(2): 303-306 |
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| Authors: | QU Yuhong LI Yanling CAO Kun SUN Yingshi |
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| Affiliation: | Department of Radiology, Key laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing 100142, China,Department of Radiology, Key laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing 100142, China,Department of Radiology, Key laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing 100142, China and Department of Radiology, Key laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital & Institute, Beijing 100142, China |
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| Abstract: | Mammographic examination is valuable in screening and early diagnosis of breast cancer. But for dense glandular breasts, early detection of lesions with mammography is difficult due to a high false negative rate, so it is easy to delay the best time of diagnosis and treatment and affecting the prognosis. Ways to improve detection rate of breast cancer in dense breast tissue with mammography were reviewed in this paper from improving quality of mammography, application of BI-RADS category, and using of computer-aided detection techniques. |
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| Keywords: | Breast neolplasms Dense breast Mammography Detection rate |
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