• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于乳腺钼靶摄影的计算机辅助检测系统:一个真正的机遇?文献综述

CAD systems for mammography: a real opportunity? A review of the literature.

作者信息

Bazzocchi M, Mazzarella F, Del Frate C, Girometti R, Zuiani C

机构信息

Institute of Radiology, University of Udine, Via Colugna 50, I-33100 Udine, Italy.

出版信息

Radiol Med. 2007 Apr;112(3):329-53. doi: 10.1007/s11547-007-0145-5. Epub 2007 Apr 20.

DOI:10.1007/s11547-007-0145-5
PMID:17440698
Abstract

The introduction of systems for automated reading in mammography has been proposed to improve the sensitivity [computer-aided detection (CADe) systems] and, more recently, the specificity [computer-aided diagnosis (CADi) systems] of the test. Only CADe systems have been approved by the U.S. Food and Drug Administration (FDA) and are used in current practice. These systems are still under discussion. Several studies have demonstrated that they are beneficial to inexperienced readers and that, through comparison with the computer, radiologists are led to improve their performance. However, there is still considerable variation among different studies in the level of benefit deriving from CAD. Therefore the role of these systems in clinical practice is still debated, and their real contribution to the overall management of the diagnostic process is not yet clear.

摘要

有人提议引入乳腺X线摄影自动阅读系统,以提高检测的敏感性(计算机辅助检测(CADe)系统),最近则是提高特异性(计算机辅助诊断(CADi)系统)。只有CADe系统已获得美国食品药品监督管理局(FDA)的批准,并在当前实践中使用。这些系统仍在讨论中。多项研究表明,它们对经验不足的阅片者有益,并且通过与计算机比较,放射科医生会因此提高其表现。然而,不同研究中CAD带来的获益水平仍存在相当大的差异。因此,这些系统在临床实践中的作用仍存在争议,它们对诊断过程整体管理的实际贡献尚不清楚。

相似文献

1
CAD systems for mammography: a real opportunity? A review of the literature.用于乳腺钼靶摄影的计算机辅助检测系统:一个真正的机遇?文献综述
Radiol Med. 2007 Apr;112(3):329-53. doi: 10.1007/s11547-007-0145-5. Epub 2007 Apr 20.
2
Early detection of breast cancer: overview of the evidence on computer-aided detection in mammography screening.乳腺癌的早期检测:乳腺X线筛查中计算机辅助检测的证据综述
J Med Imaging Radiat Oncol. 2009 Apr;53(2):171-6. doi: 10.1111/j.1754-9485.2009.02062.x.
3
Computed-aided diagnosis (CAD) in the detection of breast cancer.计算机辅助诊断(CAD)在乳腺癌检测中的应用。
Eur J Radiol. 2013 Mar;82(3):417-23. doi: 10.1016/j.ejrad.2012.03.005. Epub 2012 Aug 30.
4
Computer-aided detection with full-field digital mammography.全视野数字化乳腺摄影的计算机辅助检测
Technol Eval Cent Assess Program Exec Summ. 2006 May;21(3):1-3.
5
Computer-aided detection in mammography.乳腺钼靶摄影中的计算机辅助检测
Clin Radiol. 2004 May;59(5):390-9. doi: 10.1016/j.crad.2003.11.017.
6
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.基于人工智能 CAD 的回顾性对比研究:降低乳腺 X 线摄影中的假阳性标记
J Digit Imaging. 2019 Aug;32(4):618-624. doi: 10.1007/s10278-018-0168-6.
7
Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms.计算机辅助检测对配对的屏-片乳腺钼靶和全视野数字化乳腺钼靶独立双人阅片的影响。
AJR Am J Roentgenol. 2007 Feb;188(2):377-84. doi: 10.2214/AJR.05.2207.
8
Computer aided detection of masses in mammograms as decision support.乳腺钼靶片中肿块的计算机辅助检测作为决策支持。
Br J Radiol. 2006 Dec;79 Spec No 2:S123-6. doi: 10.1259/bjr/37622515.
9
Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classification.乳腺钼靶摄影中乳腺肿块的计算机辅助检测(CAD):联合检测与集成分类
Phys Med Biol. 2014 Jul 21;59(14):3697-719. doi: 10.1088/0031-9155/59/14/3697. Epub 2014 Jun 13.
10
[Application of a computer-aided detection (CAD) system to digitalized mammograms for identifying microcalcifications].[计算机辅助检测(CAD)系统在数字化乳腺钼靶片中识别微钙化的应用]
Radiol Med. 2001 May;101(5):334-40.

引用本文的文献

1
The role of an artificial intelligence software in clinical senology: a mammography multi-reader study.人工智能软件在临床乳腺学中的作用:一项乳腺钼靶多阅片者研究
Radiol Med. 2024 Feb;129(2):202-210. doi: 10.1007/s11547-023-01751-1. Epub 2023 Dec 11.
2
Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review.乳腺成像中的人工智能:一项科学计量学综述
Diagnostics (Basel). 2022 Dec 9;12(12):3111. doi: 10.3390/diagnostics12123111.
3
Current and Future Methods for Measuring Breast Density: A Brief Comparative Review.
测量乳腺密度的当前及未来方法:简要比较综述
Breast Cancer Manag. 2015;4(4):209-221. doi: 10.2217/bmt.15.13. Epub 2015 Aug 28.
4
Short-term outcomes of screening mammography using computer-aided detection: a population-based study of medicare enrollees.计算机辅助检测在筛查性乳房 X 光摄影中的短期效果:一项基于医疗保险参保者的人群研究。
Ann Intern Med. 2013 Apr 16;158(8):580-7. doi: 10.7326/0003-4819-158-8-201304160-00002.
5
Breast masses detection using phase portrait analysis and fuzzy inference systems.利用相图分析和模糊推理系统检测乳腺肿块。
Int J Comput Assist Radiol Surg. 2012 Jul;7(4):573-83. doi: 10.1007/s11548-011-0659-0. Epub 2011 Oct 11.
6
"CADEAT": considerations on the use of CAD (computer-aided diagnosis) in mammography.“CADEAT”:关于在乳腺 X 线摄影中使用 CAD(计算机辅助诊断)的考虑。
Radiol Med. 2010 Jun;115(4):563-70. doi: 10.1007/s11547-010-0505-4. Epub 2010 Jan 15.
7
Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.CAD 对放射科医生检测胸部 CT 扫描中肺结节的影响:基于结节大小的观察者性能研究分析。
Acad Radiol. 2009 Dec;16(12):1518-30. doi: 10.1016/j.acra.2009.08.006.