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当前乳腺病变诊断方法的技术现状。

State of the art of current modalities for the diagnosis of breast lesions.

作者信息

Di Maggio Cosimo

机构信息

Diagnostic Breast Unit, University of Padua, 35128 Padua, Italy.

出版信息

Eur J Nucl Med Mol Imaging. 2004 Jun;31 Suppl 1:S56-69. doi: 10.1007/s00259-004-1527-8. Epub 2004 Apr 15.

DOI:10.1007/s00259-004-1527-8
PMID:15085294
Abstract

With the availability of numerous diagnostic techniques comes the possible risk of the unjustified use of such techniques and a lack of rational clinical application. Clearly, errors of this nature would affect the diagnostic accuracy and therefore reduce the possibilities for treatment. It is not uncommon for women and also for general practitioners to be misinformed about which is the most suitable technique or rather, which is the best combination of the various techniques. For this reason, inappropriate tests are often requested or, conversely, there is failure to request tests which would in fact make a useful contribution to safeguarding the patient's health. This work has the following aims: (a) to set out precisely the real diagnostic contribution of each method, both radiological and otherwise, and suggest methods of application and indications consistent with the state of the art, and (b) to suggest the most effective and rational combinations of the various techniques and organisation of diagnostic activities.

摘要

随着众多诊断技术的出现,可能存在不合理使用这些技术的风险以及缺乏合理的临床应用。显然,这种性质的错误会影响诊断准确性,从而降低治疗的可能性。女性以及全科医生对哪种是最合适的技术,或者更确切地说,各种技术的最佳组合被错误告知的情况并不少见。因此,经常会要求进行不适当的检查,或者相反,未能要求进行实际上对保障患者健康有帮助的检查。这项工作有以下目标:(a) 精确阐述每种方法(包括放射学方法及其他方法)的实际诊断贡献,并提出与当前技术水平相一致的应用方法和适应症,以及 (b) 建议各种技术的最有效和合理组合以及诊断活动的组织方式。

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The application of traditional machine learning and deep learning techniques in mammography: a review.传统机器学习和深度学习技术在乳腺钼靶摄影中的应用:综述
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2
AAWS-Net: Anatomy-aware weakly-supervised learning network for breast mass segmentation.AAWS-Net:用于乳腺肿块分割的解剖感知弱监督学习网络。
PLoS One. 2021 Aug 30;16(8):e0256830. doi: 10.1371/journal.pone.0256830. eCollection 2021.
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Female breast cancer in Vietnam: a comparison across Asian specific regions.

本文引用的文献

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Monitoring interval cancers in mammographic screening: the Florence District programme experience.
Breast. 2002 Aug;11(4):301-5. doi: 10.1054/brst.2002.0437.
2
Interval breast cancer: is it a different type of breast cancer?间期乳腺癌:它是一种不同类型的乳腺癌吗?
Breast. 2001 Apr;10(2):100-8. doi: 10.1054/brst.2000.0217.
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Digital mammography: physical principles and future applications.
Radiol Med. 2003 Nov-Dec;106(5-6):454-64; quiz 465-6.
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越南女性乳腺癌:亚洲特定地区的比较
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Breast Cancer OncoGuia.乳腺癌诊疗指南
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The current status of digital mammography.
数字乳腺摄影的现状。
Clin Radiol. 2004 Jan;59(1):1-10. doi: 10.1016/j.crad.2003.08.011.
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Mammography screening is saving thousands of lives, but will it survive medical malpractice?乳房X光筛查挽救了数千人的生命,但它能经受住医疗事故的考验吗?
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Epidemiology of breast cancer--selected highlights.
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Assessment of breast lesions using Doppler with contrast agents.
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Quantitative assessment of mammographic breast density: relationship with breast cancer risk.乳腺钼靶密度的定量评估:与乳腺癌风险的关系
Radiology. 2004 Jan;230(1):29-41. doi: 10.1148/radiol.2301020870. Epub 2003 Nov 14.
10
Stereotactic and ultrasound-guided breast biopsy.立体定向及超声引导下乳腺活检
Eur Radiol. 2004 Mar;14(3):383-93. doi: 10.1007/s00330-003-2141-z. Epub 2003 Nov 13.