• 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

相似文献

1
Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis Screening.提高癌症检测率的策略:数字化乳腺断层合成筛查中真阳性和假阴性结果的综述
Radiographics. 2016 Nov-Dec;36(7):1954-1965. doi: 10.1148/rg.2016160049. Epub 2016 Oct 7.
2
Breast Cancer Conspicuity on Simultaneously Acquired Digital Mammographic Images versus Digital Breast Tomosynthesis Images.同时获取的数字乳腺 X 线摄影图像与数字乳腺断层合成图像上的乳腺癌显著性。
Radiology. 2019 Jul;292(1):69-76. doi: 10.1148/radiol.2019182027. Epub 2019 May 14.
3
Combination of one-view digital breast tomosynthesis with one-view digital mammography versus standard two-view digital mammography: per lesion analysis.单视角数字乳腺断层合成与单视角数字乳腺钼靶摄影联合应用与标准双视角数字乳腺钼靶摄影的比较:基于病变的分析。
Eur Radiol. 2013 Aug;23(8):2087-94. doi: 10.1007/s00330-013-2831-0. Epub 2013 Apr 26.
4
Detection and characterization of breast lesions in a selective diagnostic population: diagnostic accuracy study for comparison between one-view digital breast tomosynthesis and two-view full-field digital mammography.选择性诊断人群中乳腺病变的检测与特征分析:单视图数字乳腺断层合成与双视图全视野数字乳腺摄影对比的诊断准确性研究
Br J Radiol. 2016 Jun;89(1062):20150743. doi: 10.1259/bjr.20150743. Epub 2016 Apr 13.
5
Overview of the evidence on digital breast tomosynthesis in breast cancer detection.数字乳腺断层合成在乳腺癌检测中的证据概述。
Breast. 2013 Apr;22(2):101-108. doi: 10.1016/j.breast.2013.01.017. Epub 2013 Feb 16.
6
Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images.两视图数字乳腺断层合成投影图像筛查:与全视野数字乳腺断层合成图像筛查的比较。
Radiology. 2014 Jun;271(3):655-63. doi: 10.1148/radiol.13131391. Epub 2014 Jan 24.
7
Digital breast tomosynthesis (DBT): initial experience in a clinical setting.数字乳腺断层合成(DBT):临床环境中的初步经验。
Acta Radiol. 2012 Jun 1;53(5):524-9. doi: 10.1258/ar.2012.120062. Epub 2012 May 16.
8
Clinical performance metrics of 3D digital breast tomosynthesis compared with 2D digital mammography for breast cancer screening in community practice.社区实践中,与二维数字乳腺钼靶相比,3D 数字乳腺断层合成在乳腺癌筛查中的临床性能指标。
AJR Am J Roentgenol. 2014 Sep;203(3):687-93. doi: 10.2214/AJR.14.12642. Epub 2014 Jun 11.
9
Digital breast tomosynthesis as an adjunct to digital mammography for detecting and characterising invasive lobular cancers: a multi-reader study.数字乳腺断层合成作为数字乳腺X线摄影的辅助手段用于检测和表征浸润性小叶癌:一项多阅片者研究
Clin Radiol. 2016 Sep;71(9):889-95. doi: 10.1016/j.crad.2016.04.004. Epub 2016 Jun 6.
10
One-view breast tomosynthesis versus two-view mammography in the Malmö Breast Tomosynthesis Screening Trial (MBTST): a prospective, population-based, diagnostic accuracy study.单视图乳腺断层合成摄影术与两视图乳腺 X 线摄影术在马尔默乳腺断层合成摄影术筛查试验(MBTST)中的比较:一项前瞻性、基于人群的、诊断准确性研究。
Lancet Oncol. 2018 Nov;19(11):1493-1503. doi: 10.1016/S1470-2045(18)30521-7. Epub 2018 Oct 12.

引用本文的文献

1
Clinical Application of Artificial Intelligence in Digital Breast Tomosynthesis.人工智能在数字乳腺断层合成中的临床应用
J Korean Soc Radiol. 2025 Mar;86(2):205-215. doi: 10.3348/jksr.2025.0011. Epub 2025 Mar 26.
2
AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.基于人工智能的乳腺≤2cm 肿块在乳腺 X 线摄影和断层合成中的分类策略。
Breast. 2024 Dec;78:103805. doi: 10.1016/j.breast.2024.103805. Epub 2024 Sep 19.
3
Discordant and false-negative interpretations at digital breast tomosynthesis in the prospective Oslo Tomosynthesis Screening Trial (OTST) using independent double reading.前瞻性奥斯陆断层合成筛查试验(OTST)中使用独立双读时数字乳腺断层合成的不一致和假阴性解读。
Eur Radiol. 2024 Jun;34(6):3912-3923. doi: 10.1007/s00330-023-10400-0. Epub 2023 Nov 8.
4
Digital tomosynthesis spot view in architectural distortions: outcomes in management and radiation dose.数字断层合成点片在结构扭曲中的应用:管理和辐射剂量方面的结果。
Radiol Med. 2023 Jan;128(1):35-48. doi: 10.1007/s11547-022-01570-w. Epub 2022 Dec 19.
5
Deep learning model for breast cancer diagnosis based on bilateral asymmetrical detection (BilAD) in digital breast tomosynthesis images.基于数字乳腺断层合成图像双侧不对称检测(BilAD)的乳腺癌诊断深度学习模型。
Radiol Phys Technol. 2023 Mar;16(1):20-27. doi: 10.1007/s12194-022-00686-y. Epub 2022 Nov 7.
6
Variation in digital breast tomosynthesis image quality at differing heights above the detector.乳房断层合成数字成像质量在探测器上方不同高度的变化。
J Med Radiat Sci. 2022 Jun;69(2):174-181. doi: 10.1002/jmrs.565. Epub 2021 Dec 27.
7
Deep Learning-Based Artificial Intelligence for Mammography.基于深度学习的乳腺 X 线摄影人工智能。
Korean J Radiol. 2021 Aug;22(8):1225-1239. doi: 10.3348/kjr.2020.1210. Epub 2021 May 4.
8
Five Consecutive Years of Screening with Digital Breast Tomosynthesis: Outcomes by Screening Year and Round.连续 5 年使用数字乳腺断层合成技术进行筛查:按筛查年度和轮次的结果。
Radiology. 2020 May;295(2):285-293. doi: 10.1148/radiol.2020191751. Epub 2020 Mar 10.
9
Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.人工智能在乳腺 X 线摄影和数字乳腺断层合成中的应用:现状与未来展望。
Radiology. 2019 Nov;293(2):246-259. doi: 10.1148/radiol.2019182627. Epub 2019 Sep 24.
10
Breast Cancer Conspicuity on Simultaneously Acquired Digital Mammographic Images versus Digital Breast Tomosynthesis Images.同时获取的数字乳腺 X 线摄影图像与数字乳腺断层合成图像上的乳腺癌显著性。
Radiology. 2019 Jul;292(1):69-76. doi: 10.1148/radiol.2019182027. Epub 2019 May 14.

本文引用的文献

1
Baseline Screening Mammography: Performance of Full-Field Digital Mammography Versus Digital Breast Tomosynthesis.基线筛查乳腺钼靶检查:全视野数字化乳腺钼靶与数字乳腺断层合成技术的性能比较
AJR Am J Roentgenol. 2015 Nov;205(5):1143-8. doi: 10.2214/AJR.15.14406.
2
Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction.认识并直面我们的错误:放射学中的错误流行病学及减少错误的策略
Radiographics. 2015 Oct;35(6):1668-76. doi: 10.1148/rg.2015150023.
3
Digital breast tomosynthesis at screening assessment: are two views always necessary?筛查评估中的数字乳腺断层合成:总是需要两个视图吗?
Br J Radiol. 2015;88(1055):20150353. doi: 10.1259/bjr.20150353. Epub 2015 Sep 16.
4
Suspicious Findings at Digital Breast Tomosynthesis Occult to Conventional Digital Mammography: Imaging Features and Pathology Findings.数字乳腺断层合成中常规数字乳腺摄影隐匿的可疑发现:影像特征及病理结果
Breast J. 2015 Sep-Oct;21(5):538-42. doi: 10.1111/tbj.12446. Epub 2015 Jul 6.
5
Performance of one-view breast tomosynthesis as a stand-alone breast cancer screening modality: results from the Malmö Breast Tomosynthesis Screening Trial, a population-based study.单视图乳腺断层合成作为独立乳腺癌筛查方式的性能:基于人群的马尔默乳腺断层合成筛查试验结果
Eur Radiol. 2016 Jan;26(1):184-90. doi: 10.1007/s00330-015-3803-3. Epub 2015 May 1.
6
The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme--a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone.TOMMY试验:英国国民医疗服务体系乳腺筛查项目中乳腺断层合成与数字乳腺摄影的比较——一项多中心回顾性阅片研究,比较数字乳腺断层合成和数字乳腺摄影与单纯数字乳腺摄影的诊断性能。
Health Technol Assess. 2015 Jan;19(4):i-xxv, 1-136. doi: 10.3310/hta19040.
7
Added value of one-view breast tomosynthesis combined with digital mammography according to reader experience.根据阅片者经验,单视图乳腺断层合成联合数字乳腺摄影的附加值。
Eur J Radiol. 2015 Feb;84(2):235-41. doi: 10.1016/j.ejrad.2014.10.022. Epub 2014 Nov 15.
8
Screening outcomes following implementation of digital breast tomosynthesis in a general-population screening program.在一项普通人群筛查项目中实施数字乳腺断层合成后的筛查结果。
J Natl Cancer Inst. 2014 Oct 13;106(11). doi: 10.1093/jnci/dju316. Print 2014 Nov.
9
Effect of radiologists' experience on breast cancer detection and localization using digital breast tomosynthesis.放射科医生经验对数字乳腺断层合成术检测和定位乳腺癌的影响。
Eur Radiol. 2015 Feb;25(2):402-9. doi: 10.1007/s00330-014-3409-1. Epub 2014 Sep 6.
10
Early clinical experience with digital breast tomosynthesis for screening mammography.数字乳腺断层合成筛查钼靶的早期临床经验。
Radiology. 2015 Jan;274(1):85-92. doi: 10.1148/radiol.14131319. Epub 2014 Sep 1.

提高癌症检测率的策略:数字化乳腺断层合成筛查中真阳性和假阴性结果的综述

Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis Screening.

作者信息

Korhonen Katrina E, Weinstein Susan P, McDonald Elizabeth S, Conant Emily F

机构信息

From the Division of Breast Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104.

出版信息

Radiographics. 2016 Nov-Dec;36(7):1954-1965. doi: 10.1148/rg.2016160049. Epub 2016 Oct 7.

DOI:10.1148/rg.2016160049
PMID:27715711
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5161511/
Abstract

Digital breast tomosynthesis (DBT) represents a valuable addition to breast cancer screening by decreasing recall rates while increasing cancer detection rates. The increased accuracy achieved with DBT is due to the quasi-three-dimensional format of the reconstructed images and the ability to "scroll through" breast tissue in the reconstructed images, thereby reducing the effect of tissue superimposition found with conventional planar digital mammography. The margins of both benign and malignant lesions are more conspicuous at DBT, which allows improved lesion characterization, increased reader confidence, and improved screening outcomes. However, even with the improvements in accuracy achieved with DBT, there remain differences in breast cancer conspicuity by mammographic view. Early data suggest that breast cancers may be more conspicuous on craniocaudal (CC) views than on mediolateral oblique (MLO) views. While some very laterally located breast cancers may be visualized on only the MLO view, the increased conspicuity of cancers on the CC view compared with the MLO view suggests that DBT screening should be performed with two-view imaging. Even with the improved conspicuity of lesions at DBT, there may still be false-negative studies. Subtle lesions seen on only one view may be discounted, and dense and/or complex tissue patterns may make some cancers occult or extremely difficult to detect. Therefore, radiologists should be cognizant of both perceptual and cognitive errors to avoid potential pitfalls in lesion detection and characterization. RSNA, 2016 Online supplemental material is available for this article.

摘要

数字乳腺断层合成(DBT)是乳腺癌筛查的一项重要补充技术,它在降低召回率的同时提高了癌症检出率。DBT所实现的更高准确性得益于重建图像的准三维格式以及在重建图像中“浏览”乳腺组织的能力,从而减少了传统平面数字乳腺摄影中出现的组织叠加效应。在DBT中,良性和恶性病变的边缘都更加明显,这有助于更好地对病变进行特征描述,提高阅片者的信心,并改善筛查效果。然而,即使DBT在准确性方面有所提高,不同乳腺钼靶投照角度下乳腺癌的显示情况仍存在差异。早期数据表明,乳腺癌在头尾位(CC)投照角度下可能比内外斜位(MLO)投照角度下更易显示。虽然一些非常靠外侧的乳腺癌可能仅在MLO投照角度下可见,但与MLO投照角度相比,CC投照角度下癌症显示率的提高表明DBT筛查应采用双视角成像。即使DBT提高了病变的显示率,仍可能存在假阴性检查结果。仅在一个视角下看到的细微病变可能会被忽视,致密和/或复杂的组织形态可能会使一些癌症难以发现或极难检测到。因此,放射科医生应认识到感知和认知错误,以避免在病变检测和特征描述中出现潜在的失误。RSNA,2016 本文提供在线补充材料。