• 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

在乳腺致密的女性中使用自动乳腺容积扫描(ABVS)进行筛查超声的召回率:第一季度经验

Recall rate of screening ultrasound with automated breast volumetric scanning (ABVS) in women with dense breasts: a first quarter experience.

作者信息

Arleo Elizabeth Kagan, Saleh Marwa, Ionescu Dana, Drotman Michele, Min Robert J, Hentel Keith

机构信息

New York-Presbyterian/Weill Cornell Medical College, 425 East 61st Street, 9th floor, New York, NY 10128.

New York-Presbyterian/Weill Cornell Medical College, 425 East 61st Street, 9th floor, New York, NY 10128.

出版信息

Clin Imaging. 2014 Jul-Aug;38(4):439-444. doi: 10.1016/j.clinimag.2014.03.012. Epub 2014 Apr 1.

DOI:10.1016/j.clinimag.2014.03.012
PMID:24768327
Abstract

PURPOSE

The aim of this study was to determine the recall rate of screening ultrasound with automated breast volumetric scanning (ABVS) in women with dense breasts (BI-RADS density classification 3 or 4 on mammogram).

MATERIALS AND METHODS

In this retrospective cohort study, at the end of the "first quarter" (August-October 2013) of use, our practice database was searched for all ABVS examinations performed and specifically, the positive examinations (defined as abnormal/BI-RADS 0) for which patients were recalled for additional imaging evaluation with handheld ultrasound (HHUS); the latter group was reviewed with respect to final BI-RADS and pathology if relevant.

RESULTS

During the 3-month study time period, 558 ABVS studies were performed: 453 (81%) were initially BI-RADS 1 or 2 and 105 (19%) were BI-RADS 0-incomplete and recalled, corresponding with an overall recall rate of 19%; specifically, the recall rate trended down from 24.7% in August to 12.6% in October. To date, 98 of the 105 recalled women have returned for HHUS, with the resultant final BI-RADS as follows: 25/98=25% BI-RADS 1, 46/98=47% BI-RADS 2, 13/98=13% BI-RADS 3, 14/98=15% BI-RADS 4, and 0/98=0% BI-RADS 5. All biopsies performed to date of the ABVS-detected BI-RADS 4 lesions have yielded benign results, with the most common pathology being fibroadenoma.

CONCLUSION

The recall rate of screening ABVS in women with dense breasts at our institution was under 20% overall during its first quarter of use, and trended down from nearly 25% in the first month to under 13% in the third. The clinical implication is that ABVS does have a learning curve, but that is a potentially feasible way to meet the increasing demands for screening ultrasound in women with dense breasts.

摘要

目的

本研究旨在确定在乳腺致密(乳腺钼靶检查的BI-RADS密度分类为3或4)的女性中,使用自动乳腺容积扫描(ABVS)进行筛查超声检查的召回率。

材料与方法

在这项回顾性队列研究中,在使用“第一季度”(2013年8月至10月)结束时,在我们的实践数据库中搜索了所有进行的ABVS检查,具体而言,搜索了那些被召回进行手持超声(HHUS)额外影像评估的阳性检查(定义为异常/BI-RADS 0);如果相关,对后一组进行了最终BI-RADS和病理检查的回顾。

结果

在3个月的研究时间段内,共进行了558例ABVS检查:453例(占81%)最初为BI-RADS 1或2,105例(占19%)为BI-RADS 0 - 不完整并被召回,总体召回率为19%;具体而言,召回率从8月的24.7%降至10月的12.6%。截至目前,105名被召回的女性中有98名已返回进行HHUS检查,最终的BI-RADS结果如下:25/98 = 25%为BI-RADS 1,46/98 = 47%为BI-RADS 2,13/98 = 13%为BI-RADS 3,14/98 = 15%为BI-RADS 4,0/98 = 0%为BI-RADS 5。到目前为止,对ABVS检测到的BI-RADS 4级病变进行的所有活检结果均为良性,最常见的病理类型为纤维腺瘤。

结论

在我们机构,乳腺致密的女性使用ABVS进行筛查的召回率在使用的第一季度总体低于20%,且从第一个月的近25%降至第三个月的低于13%。其临床意义在于,ABVS确实存在学习曲线,但这是满足乳腺致密女性对筛查超声检查日益增长需求的一种潜在可行方法。

相似文献

1
Recall rate of screening ultrasound with automated breast volumetric scanning (ABVS) in women with dense breasts: a first quarter experience.在乳腺致密的女性中使用自动乳腺容积扫描(ABVS)进行筛查超声的召回率:第一季度经验
Clin Imaging. 2014 Jul-Aug;38(4):439-444. doi: 10.1016/j.clinimag.2014.03.012. Epub 2014 Apr 1.
2
3
Comparison of automated versus hand-held breast US in supplemental screening in asymptomatic women with dense breasts: is there a difference regarding woman preference, lesion detection and lesion characterization?自动乳腺超声与手持乳腺超声在致密型乳腺无症状女性补充筛查中的比较:在患者偏好、病灶检出和病灶特征方面是否存在差异?
Arch Gynecol Obstet. 2020 May;301(5):1257-1265. doi: 10.1007/s00404-020-05501-w. Epub 2020 Mar 25.
4
Comparison of handheld ultrasound and automated breast ultrasound in women recalled after mammography screening.乳腺钼靶筛查后被召回女性中手持超声与自动乳腺超声的比较
Acta Radiol. 2017 May;58(5):515-520. doi: 10.1177/0284185116665421. Epub 2016 Sep 30.
5
Interobserver reliability of automated breast volume scanner (ABVS) interpretation and agreement of ABVS findings with hand held breast ultrasound (HHUS), mammography and pathology results.自动乳腺容积扫描仪(ABVS)解读的观察者间可靠性以及与手持乳腺超声(HHUS)、乳腺钼靶摄影和病理结果的一致性。
Eur J Radiol. 2013 Aug;82(8):e332-6. doi: 10.1016/j.ejrad.2013.03.005. Epub 2013 Mar 27.
6
Evaluation of an automated breast volume scanner according to the fifth edition of BI-RADS for breast ultrasound compared with hand-held ultrasound.根据第五版 BI-RADS 对乳腺超声的评估与手持超声相比,自动乳腺容积扫描仪的评估。
Eur J Radiol. 2018 Feb;99:138-145. doi: 10.1016/j.ejrad.2018.01.002. Epub 2018 Jan 4.
7
Diagnostic Performance of Automated Breast Volume Scanning (ABVS) Compared to Handheld Ultrasonography With Breast MRI as the Gold Standard.以乳腺磁共振成像(MRI)作为金标准,比较自动乳腺容积扫描(ABVS)与手持超声检查的诊断性能。
Acad Radiol. 2017 Aug;24(8):954-961. doi: 10.1016/j.acra.2017.01.021. Epub 2017 Mar 20.
8
Outcomes of Return to Routine Screening for BI-RADS 3 Lesions Detected at Supplemental Automated Whole-Breast Ultrasound in Women With Dense Breasts: A Prospective Study.在乳腺致密的女性中,对补充性全自动全乳腺超声检查发现的 BI-RADS 3 病变进行常规筛查的结果:一项前瞻性研究。
AJR Am J Roentgenol. 2021 Dec;217(6):1313-1321. doi: 10.2214/AJR.21.26180. Epub 2021 Jul 14.
9
The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women.3D ABUS 与 HHUS 对 1886 例女性大样本乳腺病灶的可视化及 BI-RADS 特征评估的性能比较。
Eur Radiol. 2018 Feb;28(2):592-601. doi: 10.1007/s00330-017-5011-9. Epub 2017 Aug 21.
10
Screening US in patients with mammographically dense breasts: initial experience with Connecticut Public Act 09-41.乳腺钼靶摄影致密型乳腺患者的筛查:康涅狄格州公法 09-41 的初步经验。
Radiology. 2012 Oct;265(1):59-69. doi: 10.1148/radiol.12120621. Epub 2012 Jun 21.

引用本文的文献

1
Automated Breast Ultrasound (ABUS): A Pictorial Essay of Common Artifacts and Benign and Malignant Pathology.自动乳腺超声(ABUS):常见伪像及良恶性病变的图文综述
J Ultrason. 2022 Oct 1;22(91):e222-e235. doi: 10.15557/jou.2022.0037. eCollection 2022 Oct.
2
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.
3
A multicenter, hospital-based and non-inferiority study for diagnostic efficacy of automated whole breast ultrasound for breast cancer in China.
一项针对中国乳腺癌自动全乳腺超声诊断效能的多中心、基于医院、非劣效性研究。
Sci Rep. 2021 Jul 6;11(1):13902. doi: 10.1038/s41598-021-93350-1.
4
Comparison of Automated Breast Ultrasound and Hand-Held Breast Ultrasound in the Screening of Dense Breasts.自动乳腺超声与手持乳腺超声在致密乳腺筛查中的比较。
Rev Bras Ginecol Obstet. 2021 Mar;43(3):190-199. doi: 10.1055/s-0040-1722156. Epub 2021 Apr 15.
5
Study on automatic detection and classification of breast nodule using deep convolutional neural network system.基于深度卷积神经网络系统的乳腺结节自动检测与分类研究
J Thorac Dis. 2020 Sep;12(9):4690-4701. doi: 10.21037/jtd-19-3013.
6
Automatic breast ultrasound: state of the art and future perspectives.自动乳腺超声:现状与未来展望。
Ecancermedicalscience. 2020 Jun 23;14:1062. doi: 10.3332/ecancer.2020.1062. eCollection 2020.
7
Validation of radiologists' findings by computer-aided detection (CAD) software in breast cancer detection with automated 3D breast ultrasound: a concept study in implementation of artificial intelligence software.在自动3D乳腺超声乳腺癌检测中,通过计算机辅助检测(CAD)软件验证放射科医生的检查结果:一项人工智能软件实施的概念研究
Acta Radiol. 2020 Mar;61(3):312-320. doi: 10.1177/0284185119858051. Epub 2019 Jul 19.
8
Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging.乳腺超声检查:欧洲乳腺影像学会向女性及转诊医生提供信息的建议
Insights Imaging. 2018 Aug;9(4):449-461. doi: 10.1007/s13244-018-0636-z. Epub 2018 Aug 9.
9
Automated breast ultrasound: basic principles and emerging clinical applications.自动乳腺超声:基本原理与新兴临床应用
Radiol Med. 2018 Jan;123(1):1-12. doi: 10.1007/s11547-017-0805-z. Epub 2017 Aug 28.
10
Detecting Breast Cancer with a Dual-Modality Device.使用双模态设备检测乳腺癌。
Diagnostics (Basel). 2017 Mar 18;7(1):17. doi: 10.3390/diagnostics7010017.