Suppr超能文献

乳腺磁共振成像的现状与未来发展方向

Current and Future Directions of Breast MRI.

作者信息

Houser Margaret, Barreto David, Mehta Anita, Brem Rachel F

机构信息

George Washington University Hospital, Washington, DC 20037, USA.

George Washington University Medical Faculty Associates, Washington, DC 20037, USA.

出版信息

J Clin Med. 2021 Nov 30;10(23):5668. doi: 10.3390/jcm10235668.

Abstract

Magnetic resonance imaging (MRI) is the most sensitive exam for detecting breast cancer. The American College of Radiology recommends women with 20% or greater lifetime risk of developing breast cancer be screened annually with MRI. However, other high-risk populations would also benefit. Hartmann et al. reported women with atypical hyperplasia have nearly a 30% incidence of breast cancer at 25-year follow-up. Women with dense breast tissue have up to a 4-fold increased risk of breast cancer when compared to average-risk women; their cancers are more likely to be mammographically occult. Because multiple cohorts of women are at high risk for developing breast cancer, there has been a movement to develop an abbreviated MRI (abMRI) protocol to expand the availability of MRI screening. Studies on abMRI effectiveness have been promising, with Weinstein et al. demonstrating a cancer detection rate of 27.4/1000 in women with dense breasts after a negative digital breast tomosynthesis. Breast MRI is also used to evaluate the extent of disease as part of preoperative assessment in women with newly diagnosed breast cancer, and to assess a patient's response to neoadjuvant chemotherapy. This paper aims to explore the current uses of MRI and propose future indications and directions.

摘要

磁共振成像(MRI)是检测乳腺癌最敏感的检查方法。美国放射学会建议,终生患乳腺癌风险达到或超过20%的女性应每年接受MRI筛查。然而,其他高危人群也会从中受益。哈特曼等人报告称,非典型增生女性在25年随访中有近30%的乳腺癌发病率。与平均风险女性相比,乳腺组织致密的女性患乳腺癌的风险增加了4倍;她们的癌症在乳房X光检查中更有可能隐匿不见。由于多组女性都有患乳腺癌的高风险,因此出现了开发简化MRI(abMRI)方案以扩大MRI筛查可及性的趋势。关于abMRI有效性的研究很有前景,温斯坦等人证明,在数字乳腺断层合成检查结果为阴性的乳腺致密女性中,癌症检出率为27.4/1000。乳腺MRI还用于评估新诊断乳腺癌女性术前评估中疾病的范围,并评估患者对新辅助化疗的反应。本文旨在探讨MRI的当前用途,并提出未来的适应证和发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5573/8658585/c2e4081312b3/jcm-10-05668-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验