• 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

自动乳腺超声与数字乳腺钼靶或数字乳腺断层融合成像用于乳腺癌筛查的双读片。

Double reading of automated breast ultrasound with digital mammography or digital breast tomosynthesis for breast cancer screening.

机构信息

University of Washington, Department of Radiology, Seattle Cancer Care Alliance, 825 Eastlake Avenue East, G2-600, Seattle, WA 98109-1023, United States of America.

University of Washington, Department of Radiology, Seattle Cancer Care Alliance, 825 Eastlake Avenue East, G2-600, Seattle, WA 98109-1023, United States of America.

出版信息

Clin Imaging. 2019 May-Jun;55:119-125. doi: 10.1016/j.clinimag.2019.01.019. Epub 2019 Jan 23.

DOI:10.1016/j.clinimag.2019.01.019
PMID:30807927
Abstract

PURPOSE

To evaluate the impact of double reading automated breast ultrasound (ABUS) when added to full field digital mammography (FFDM) or digital breast tomosynthesis (DBT) for breast cancer screening.

METHODS

From April 2014 to June 2015, 124 women with dense breasts and intermediate to high breast cancer risk were recruited for screening with FFDM, DBT, and ABUS. Readers used FFDM and DBT in clinical practice and received ABUS training prior to study initiation. FFDM or DBT were first interpreted alone by two independent readers and then with ABUS. All recalled women underwent diagnostic workup with at least one year of follow-up. Recall rates were compared using the sign test; differences in outcomes were evaluated using Fisher's exact test.

RESULTS

Of 121 women with complete follow-up, all had family (35.5%) or personal (20.7%) history of breast cancer, or both (43.8%). Twenty-four women (19.8%) were recalled by at least one modality. Recalls increased from 5.0% to 13.2% (p = 0.002) when ABUS was added to FFDM and from 3.3% to 10.7% (p = 0.004) when ABUS was added to DBT. Findings recalled by both readers were more likely to result in a recommendation for short term follow-up imaging or tissue biopsy compared to findings recalled by only one reader (100% vs. 42.1%, p = 0.041). The cancer detection rate was 8.3 per 1000 screens (1/121); mode of detection: FFDM and DBT.

CONCLUSIONS

Adding ABUS significantly increased the recall rate of both FFDM and DBT screening. Double reading of ABUS during early phase adoption may reduce false positive recalls.

摘要

目的

评估在全数字化乳腺摄影(FFDM)或数字化乳腺断层摄影术(DBT)基础上增加自动乳腺超声(ABUS)双读对乳腺癌筛查的影响。

方法

2014 年 4 月至 2015 年 6 月,招募 124 例乳腺致密且具有中高危乳腺癌风险的女性进行 FFDM、DBT 和 ABUS 筛查。两位独立的读者在临床实践中使用 FFDM 和 DBT,并在研究开始前接受 ABUS 培训。首先单独对 FFDM 或 DBT 进行解读,然后结合 ABUS 进行解读。所有召回的女性均进行了诊断性检查,并进行了至少一年的随访。采用符号检验比较召回率;采用 Fisher 确切检验比较结果差异。

结果

在 121 例完成随访的女性中,所有女性均有家族(35.5%)或个人(20.7%)乳腺癌病史,或两者兼有(43.8%)。24 例(19.8%)女性至少有一种检查方式被召回。当 ABUS 被添加到 FFDM 时,召回率从 5.0%增加到 13.2%(p=0.002);当 ABUS 被添加到 DBT 时,召回率从 3.3%增加到 10.7%(p=0.004)。与仅一位读者召回的结果相比,两位读者均召回的结果更可能建议进行短期随访影像学检查或组织活检(100%比 42.1%,p=0.041)。乳腺癌检出率为 8.3/1000 例(1/121);检出方式:FFDM 和 DBT。

结论

在 FFDM 和 DBT 筛查中增加 ABUS 显著增加了召回率。在早期采用 ABUS 双读可能会减少假阳性召回。

相似文献

1
Double reading of automated breast ultrasound with digital mammography or digital breast tomosynthesis for breast cancer screening.自动乳腺超声与数字乳腺钼靶或数字乳腺断层融合成像用于乳腺癌筛查的双读片。
Clin Imaging. 2019 May-Jun;55:119-125. doi: 10.1016/j.clinimag.2019.01.019. Epub 2019 Jan 23.
2
3
Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers.乳腺致密女性乳腺癌筛查中的自动乳腺超声:乳腺X线摄影阴性和阳性癌症的阅片者研究
AJR Am J Roentgenol. 2016 Jun;206(6):1341-50. doi: 10.2214/AJR.15.15367. Epub 2016 Apr 4.
4
Associating Automated Breast Ultrasound (ABUS) and Digital Breast Tomosynthesis (DBT) with Full-Field Digital Mammography (FFDM) in Clinical Practice in Cases of Women with Dense Breast Tissue.在乳腺组织致密的女性病例临床实践中,将自动乳腺超声(ABUS)和数字乳腺断层合成(DBT)与全视野数字乳腺摄影(FFDM)相结合。
Diagnostics (Basel). 2022 Feb 11;12(2):459. doi: 10.3390/diagnostics12020459.
5
The Potential Impact of Digital Breast Tomosynthesis on the Benign Biopsy Rate in Women Recalled within the UK Breast Screening Programme.数字乳腺断层合成对英国乳腺筛查计划中召回女性良性活检率的潜在影响。
Radiology. 2019 May;291(2):310-317. doi: 10.1148/radiol.2019180809. Epub 2019 Mar 19.
6
Comparison of Outcomes for One-View Asymmetries Recalled From Digital Breast Tomosynthesis Versus Full-Field Digital Mammography Screening Examinations.数字乳腺断层合成摄影筛查与全视野数字化乳腺摄影筛查中检出的单视图不对称性的结果比较。
AJR Am J Roentgenol. 2022 Nov;219(5):724-733. doi: 10.2214/AJR.22.27820. Epub 2022 Jun 15.
7
Adding 3D automated breast ultrasound to mammography screening in women with heterogeneously and extremely dense breasts: Report from a hospital-based, high-volume, single-center breast cancer screening program.在乳腺组织呈不均匀极度致密的女性中,将三维自动乳腺超声添加到乳腺钼靶筛查中:一项基于医院的、高工作量、单中心乳腺癌筛查项目的报告。
Eur J Radiol. 2016 Sep;85(9):1554-63. doi: 10.1016/j.ejrad.2016.06.004. Epub 2016 Jun 7.
8
Digital Breast Tomosynthesis with Synthesized Two-Dimensional Images versus Full-Field Digital Mammography for Population Screening: Outcomes from the Verona Screening Program.数字乳腺断层合成二维图像与全视野数字化乳腺摄影用于人群筛查的比较:来自维罗纳筛查项目的结果。
Radiology. 2018 Apr;287(1):37-46. doi: 10.1148/radiol.2017170745. Epub 2017 Dec 13.
9
Value of automated breast ultrasound in screening: Standalone and as a supplemental to digital breast tomosynthesis.自动乳腺超声在筛查中的价值:独立应用和作为数字乳腺断层合成术的补充。
Int J Cancer. 2024 Oct 15;155(8):1466-1475. doi: 10.1002/ijc.35093. Epub 2024 Jul 11.
10
Performance of breast cancer screening using digital breast tomosynthesis: results from the prospective population-based Oslo Tomosynthesis Screening Trial.数字乳腺断层合成摄影术在乳腺癌筛查中的表现:前瞻性基于人群的奥斯陆断层合成摄影术筛查试验的结果。
Breast Cancer Res Treat. 2018 Jun;169(3):489-496. doi: 10.1007/s10549-018-4705-2. Epub 2018 Feb 10.

引用本文的文献

1
Tomosynthesis vs Digital Mammography Screening in Women with a Family History of Breast Cancer.乳腺癌家族史女性的断层合成成像与数字乳腺摄影筛查对比
JAMA Oncol. 2025 May 22. doi: 10.1001/jamaoncol.2025.1209.
2
Performance of Digital Breast Tomosynthesis Versus Digital Mammography in Women With a Family History of Breast Cancer: A Systematic Review.数字乳腺断层合成术与数字乳腺钼靶摄影术在有乳腺癌家族史女性中的性能:一项系统评价
Clin Breast Cancer. 2025 Feb;25(2):e103-e112. doi: 10.1016/j.clbc.2024.09.013. Epub 2024 Sep 21.
3
Predicting Non-Mass Breast Cancer Utilizing Ultrasound and Molybdenum Target X-Ray Characteristics.
利用超声和钼靶X线特征预测非肿块型乳腺癌
J Multidiscip Healthc. 2024 Sep 2;17:4267-4276. doi: 10.2147/JMDH.S473370. eCollection 2024.
4
Automated 3D Ultrasound as an Adjunct to Screening Mammography Programs in Dense Breast: Literature Review and Metanalysis.自动三维超声作为致密型乳腺筛查钼靶检查项目的辅助手段:文献综述与荟萃分析
J Pers Med. 2023 Dec 4;13(12):1683. doi: 10.3390/jpm13121683.
5
Repeat Breast Ultrasound Demonstrates Utility with Added Cancer Detection in Patients following Breast Imaging Second Opinion Recommendations.重复乳腺超声检查在遵循乳腺影像学二次会诊建议的患者中具有增加癌症检出率的作用。
Breast J. 2022 Jan 31;2022:1561455. doi: 10.1155/2022/1561455. eCollection 2022.
6
Ultrasound Image Features under Deep Learning in Breast Conservation Surgery for Breast Cancer.深度学习在乳腺癌保乳手术中的超声图像特征。
J Healthc Eng. 2021 Sep 17;2021:6318936. doi: 10.1155/2021/6318936. eCollection 2021.
7
Pros and Cons for Automated Breast Ultrasound (ABUS): A Narrative Review.自动乳腺超声(ABUS)的利弊:一项叙述性综述
J Pers Med. 2021 Jul 23;11(8):703. doi: 10.3390/jpm11080703.
8
DBT Masses Automatic Segmentation Using U-Net Neural Networks.基于 U-Net 神经网络的弥散张量成像体素自动分割。
Comput Math Methods Med. 2020 Jan 28;2020:7156165. doi: 10.1155/2020/7156165. eCollection 2020.
9
Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images.使用超声图像上的BI-RADS放射组学特征对乳腺病变进行分类的机器学习软件的性能。
Eur Radiol Exp. 2019 Aug 5;3(1):34. doi: 10.1186/s41747-019-0112-7.