• 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

在第二轮或后续筛查 MRI 上检测到的乳腺癌:假阴性病例的 MRI 特征。

Breast cancer detected on an incident (second or subsequent) round of screening MRI: MRI features of false-negative cases.

机构信息

1 Department of Radiology, University of Chicago, Chicago, IL.

出版信息

AJR Am J Roentgenol. 2013 Nov;201(5):1155-63. doi: 10.2214/AJR.12.9707.

DOI:10.2214/AJR.12.9707
PMID:24147491
Abstract

OBJECTIVE

The purpose of this article is to evaluate the nature of breast cancers detected in the incident round of screening MRI to determine MRI features of early breast cancer.

MATERIALS AND METHODS

From 2003 to 2012, there were 16 incident breast cancers in 15 patients on screening MRI, including nine cancers that were retrospectively identifiable on the prior MRI (false-negative [FN] cancers at prior screening examination). We evaluated the BI-RADS features of these incident cancers in previous and current MRI scans.

RESULTS

Of 16 incident cancers, there were 11 mass lesions (69%), three foci (19%), and two nonmasslike enhancement lesions (13%). Of the nine FN cancers (five foci, two masses, and two nonmasslike enhancement lesions), all showed increases in size on the current examination (median, 80% increase); four lesions showed rapid uptake kinetics on prior examinations, and five lesions showed a change in kinetic pattern from slow to rapid uptake. Among the five foci, one focus was isolated and four foci were in a background of other foci, where two foci could be distinguished for their higher signal intensity.

CONCLUSION

On screening MRI, any lesion that increases in size, has rapid uptake kinetics or a change in kinetic pattern, or is an isolated focus or focus showing more enhancement than other foci should be viewed with a high degree of suspicion, and a biopsy should be considered.

摘要

目的

本文旨在评估筛查 MRI 中检出的乳腺癌的性质,以确定早期乳腺癌的 MRI 特征。

材料与方法

2003 年至 2012 年,15 例患者的筛查 MRI 共检出 16 例偶发乳腺癌,包括 9 例先前 MRI 可识别的癌症(先前筛查检查中的假阴性[FN]癌症)。我们评估了这些偶发癌症在前次和本次 MRI 扫描中的 BI-RADS 特征。

结果

16 例偶发癌症中,有 11 例为肿块病变(69%),3 例为局灶性病变(19%),2 例为非肿块样强化病变(13%)。在 9 例 FN 癌症中(5 例局灶性病变、2 例肿块、2 例非肿块样强化病变),所有病灶在本次检查中均显示出大小增加(中位数增加 80%);4 个病灶在先前检查中显示出快速摄取动力学,5 个病灶显示出从缓慢摄取动力学向快速摄取动力学的变化。在 5 个局灶性病变中,1 个病灶为孤立性,4 个病灶为其他局灶性病变的背景下,其中 2 个病灶因其信号强度较高而可区分。

结论

在筛查 MRI 中,任何大小增加、摄取动力学快速或动力学模式改变、孤立性病灶或比其他病灶增强更明显的病灶,都应高度怀疑,并考虑进行活检。

相似文献

1
Breast cancer detected on an incident (second or subsequent) round of screening MRI: MRI features of false-negative cases.在第二轮或后续筛查 MRI 上检测到的乳腺癌:假阴性病例的 MRI 特征。
AJR Am J Roentgenol. 2013 Nov;201(5):1155-63. doi: 10.2214/AJR.12.9707.
2
BI-RADS lesion characteristics predict likelihood of malignancy in breast MRI for masses but not for nonmasslike enhancement.乳腺影像报告和数据系统(BI-RADS)病变特征可预测乳腺磁共振成像(MRI)中肿块的恶性可能性,但对非肿块样强化则不然。
AJR Am J Roentgenol. 2009 Oct;193(4):994-1000. doi: 10.2214/AJR.08.1983.
3
High-spatial-resolution 3-T breast MRI of nonmasslike enhancement lesions: an analysis of their features as significant predictors of malignancy.高空间分辨率 3T 乳腺 MRI 中非肿块样强化病变:分析其特征作为恶性病变的显著预测因子。
AJR Am J Roentgenol. 2012 May;198(5):1223-30. doi: 10.2214/AJR.11.7350.
4
Characteristics of probably benign breast MRI lesions.可能为良性的乳腺MRI病变的特征。
AJR Am J Roentgenol. 2009 Sep;193(3):861-7. doi: 10.2214/AJR.08.2096.
5
MRI-detected suspicious breast lesions: predictive values of kinetic features measured by computer-aided evaluation.MRI检测出的可疑乳腺病变:计算机辅助评估测量的动力学特征的预测价值
AJR Am J Roentgenol. 2009 Sep;193(3):826-31. doi: 10.2214/AJR.08.1335.
6
False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.增强型乳腺磁共振成像的假阳性发现:BI-RADS 描述符研究。
AJR Am J Roentgenol. 2010 Jun;194(6):1658-63. doi: 10.2214/AJR.09.3486.
7
MRI features of stromal fibrosis of the breast with histopathologic correlation.MRI 特征与组织病理学相关性的乳腺间质纤维化。
AJR Am J Roentgenol. 2011 Sep;197(3):755-62. doi: 10.2214/AJR.11.6489.
8
BI-RADS® 3 lesions at contrast-enhanced breast MRI: is an initial short-interval follow-up necessary?对比增强乳腺MRI检查中的BI-RADS® 3类病变:是否需要进行初始短期随访?
Acta Radiol. 2014 Apr;55(3):260-5. doi: 10.1177/0284185113501304. Epub 2013 Aug 22.
9
High-risk breast lesions at imaging-guided needle biopsy: usefulness of MRI for treatment decision.影像学引导下经皮穿刺活检的高风险乳腺病变:磁共振成像在治疗决策中的作用。
AJR Am J Roentgenol. 2012 Aug;199(2):W240-50. doi: 10.2214/AJR.11.7869.
10
Background parenchymal enhancement on baseline screening breast MRI: impact on biopsy rate and short-interval follow-up.基线筛查乳腺 MRI 上的背景实质增强:对活检率和短期随访的影响。
AJR Am J Roentgenol. 2011 Jan;196(1):218-24. doi: 10.2214/AJR.10.4550.

引用本文的文献

1
Early Detection of Breast Cancer in MRI Using AI.利用人工智能在磁共振成像中早期检测乳腺癌
Acad Radiol. 2025 Mar;32(3):1218-1225. doi: 10.1016/j.acra.2024.10.014. Epub 2024 Oct 30.
2
Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study.深度学习预测高风险乳腺 MRI 筛查中未来病变的出现:一项可行性研究。
Eur Radiol Exp. 2023 Jun 7;7(1):32. doi: 10.1186/s41747-023-00343-y.
3
Automatic deep learning method for detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging.
动态对比增强磁共振成像中乳腺病变检测与分类的自动深度学习方法
Quant Imaging Med Surg. 2023 Apr 1;13(4):2620-2633. doi: 10.21037/qims-22-323. Epub 2023 Jan 14.
4
The utilization of artificial intelligence applications to improve breast cancer detection and prognosis.利用人工智能应用提高乳腺癌的检测和预后。
Saudi Med J. 2023 Feb;44(2):119-127. doi: 10.15537/smj.2023.44.2.20220611.
5
An Evolution of Reporting: Identifying the Missing Link.报告的演变:识别缺失的环节。
Diagnostics (Basel). 2022 Jul 21;12(7):1761. doi: 10.3390/diagnostics12071761.
6
Missed Breast Cancers on MRI in High-Risk Patients: A Retrospective Case-Control Study.高风险患者 MRI 漏诊乳腺癌:一项回顾性病例对照研究。
Tomography. 2022 Feb 2;8(1):329-340. doi: 10.3390/tomography8010027.
7
The supplemental value of mammographic screening over breast MRI alone in BRCA2 mutation carriers.乳腺钼靶筛查联合乳腺 MRI 检查相较于单独进行乳腺 MRI 检查对 BRCA2 基因突变携带者的附加价值。
Breast Cancer Res Treat. 2020 Jun;181(3):581-588. doi: 10.1007/s10549-020-05642-1. Epub 2020 Apr 24.
8
Contrast-enhanced MRI for breast cancer screening.对比增强磁共振成像在乳腺癌筛查中的应用。
J Magn Reson Imaging. 2019 Aug;50(2):377-390. doi: 10.1002/jmri.26654. Epub 2019 Jan 18.
9
The frequency of missed breast cancers in women participating in a high-risk MRI screening program.参加高危 MRI 筛查项目的女性漏诊乳腺癌的频率。
Breast Cancer Res Treat. 2018 Jun;169(2):323-331. doi: 10.1007/s10549-018-4688-z. Epub 2018 Jan 31.
10
Fully automated detection of breast cancer in screening MRI using convolutional neural networks.使用卷积神经网络在乳腺筛查磁共振成像中实现乳腺癌的全自动检测。
J Med Imaging (Bellingham). 2018 Jan;5(1):014502. doi: 10.1117/1.JMI.5.1.014502. Epub 2018 Jan 11.