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全数字化三维断层乳腺钼靶X线摄影诊断乳腺癌进展 被引量:3

Digital digital tomography mammography mammography in the diagnosis of breast cancer
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摘要 乳腺癌在临床上十分常见,对女性健康构成了严重威胁。随着医学诊断技术水平的不断提高与各种先进影像学检查技术的不断发展,乳腺癌的术前诊断水平与早期发现率在很大程度上提高,全数字化乳腺钼靶X线摄影、MRI、超声与CT等诊断方式在乳腺癌诊断中得到了广泛应用,并且获得了良好的诊断效果。本研究主要针对全数字化三维断层乳腺钼靶X线摄影在该疾病诊断中的应用进展进行探究,总结如下。 Breast cancer is very common in clinical practice, posing a serious threat to women's health. With the continuous improvement of the level of medical diagnosis technology and the continuous development of various advanced imaging techniques, the preoperative diagnosis level and early detection rate of breast cancer are improved to a great extent. All-digital mammography mammography, MRI, Ultrasound and CT and other diagnostic methods in the diagnosis of breast cancer has been widely used, and get a good diagnostic results. This study is aimed at the application of all-digital three-dimensional mammography mammography in the diagnosis of the disease to explore the progress, summarized as follows.
作者 杨迪
出处 《影像研究与医学应用》 2017年第8期1-2,共2页 Journal of Imaging Research and Medical Applications
关键词 乳腺癌 全数字化 三维断层乳腺钼靶X线摄影 Breast cancer All-digital Three-dimensional mammography mammography
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  • 1焦旅忠,索春玲,王溪.CR应用于钼靶乳腺数字化摄影的探讨[J].上海医学影像,2006,15(3):247-247. 被引量:3
  • 2Hirsch BR, Lyman GH. Breast cancer screening with mammogra- phy [J]. Curt Oncol Rep, 2011,13(1):63-70.
  • 3Bartella L, Smith CS, Dershaw DD, et al. Imaging breast cancer [J]. Radiol Clin North Am,2007,45( 1 ) :45 -67.
  • 4Kojima Y, Tsunoda H. Mammography and ultrasound features of triple - negative breast cancer [ J ]. Breast Cancer,2011,18 ( 3 ) : 146 - 151.
  • 5Rauscher GH,Murphy AM,Orsi JM,et al.Beyond the mammography quality standardsact:Measuring the quality of breast cancerscreening programs[J].AJR:American Journalof Roentgenology:Including Diagnostic Radiology,Radiation Oncology,Nuclear Medicine,Ultrasonography and Related BasicSciences,2014,202(1):145-151.
  • 6Azar AT,El-Said SA.Performance analysisof support vector machines classifiers inbreast cancer mammography recognition[J].Neural Computing & Applications,2014,24(5):1163-1177.
  • 7Wang J,Chen H,Wu X,et al.Comparison ofDiagnostic Efficiency of Breast Cancer Imagingin Chinese Women:Digital Mammography,Ultrasound, MRI, and Combinations of TheseModalities[J].Journal of Medical Imaging andHealth Informatics,2015,5(7):1488-1493.
  • 8Amano M,Ogura K,Ozaki Y,et al.Twocases of primary small cell carcinoma of thebreast showing non-mass-like pattern ondiagnostic imaging and histopathology[J].Breastcancer:the journal of the Japanese Breast CancerSociety,2015,22(4):437-441.
  • 9Tripathy D.Personalizing management of patients at elevated breastcancer risk:Wheredowestart?[J].TheBreastJournal,2014,20(6):569-570.
  • 10de Glas NA,de Craen AJ,BastiaannetE,et al.Effect of implementation of the massbreast cancer screening programme in olderwomen in the Netherlands:ppulation basedstudy[J].Bmj Clinical Research,2014,349(sep121):g5410-g5410.

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