• 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

便携式 NMR 用于体内乳腺密度定量:概念验证测量与定量 MRI 的比较。

Portable NMR for quantification of breast density in vivo: Proof-of-concept measurements and comparison with quantitative MRI.

机构信息

Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD 4215, Australia.

School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD 4006, Australia; Translational Research Institute, Woolloongabba, QLD 4102, Australia.

出版信息

Magn Reson Imaging. 2022 Oct;92:212-223. doi: 10.1016/j.mri.2022.07.004. Epub 2022 Jul 16.

DOI:10.1016/j.mri.2022.07.004
PMID:35843446
Abstract

Mammographic Density (MD) is the degree of radio-opacity of the breast in an X-ray mammogram. It is determined by the Fibroglandular: Adipose tissue ratio. MD has major implications in breast cancer risk and breast cancer chemoprevention. This study aimed to investigate the feasibility of accurate, low-cost quantification of MD in vivo without ionising radiation. We used single-sided portable nuclear magnetic resonance ("Portable NMR") due to its low cost and the absence of radiation-related safety concerns. Fifteen (N = 15) healthy female volunteers were selected for the study and underwent an imaging routine consisting of 2D X-ray mammography, quantitative breast 3T MRI (Dixon and T-based 3D compositional breast imaging), and 1D compositional depth profiling of the right breast using Portable NMR. For each participant, all the measurements were made within 3-4 h of each other. MRI-determined tissue water content was used as the MD-equivalent quantity. Portable NMR depth profiles of tissue water were compared with the equivalent depth profiles reconstructed from Dixon and T-based MR images, which were used as the MD-equivalent reference standard. The agreement between the depth profiles acquired using Portable NMR and the reconstructed reference-standard profiles was variable but overall encouraging. The agreement was somewhat inferior to that seen in breast tissue explant measurements conducted in vitro, where quantitative micro-CT was used as the reference standard. The lower agreement in vivo can be attributed to an uncertainty in the positioning of the Portable NMR sensor on the breast surface and breast compression in Portable NMR measurements. The degree of agreement between Portable NMR and quantitative MRI is encouraging. While the results call for further development of quantitative Portable NMR, they demonstrate the in-principle feasibility of Portable NMR-based quantitative compositional imaging in vivo and show promise for the development of safe and low-cost protocols for quantification of MD suitable for clinical applications.

摘要

乳腺密度(MD)是 X 射线乳房摄影中乳房的射线不透明度程度。它由纤维腺体:脂肪组织比例决定。MD 对乳腺癌风险和乳腺癌化学预防有重大影响。本研究旨在探索在体内进行准确、低成本、无电离辐射的 MD 定量的可行性。我们使用单边便携式磁共振(“便携式 NMR”),因为它成本低且不存在与辐射相关的安全问题。选择了 15 名(N=15)健康女性志愿者进行研究,并进行了成像常规,包括二维 X 射线乳房摄影、定量乳房 3T MRI(Dixon 和基于 T 的三维组成性乳房成像)以及使用便携式 NMR 对右乳房进行一维组成性深度剖析。对于每个参与者,所有测量都是在彼此的 3-4 小时内完成的。MRI 确定的组织水含量被用作 MD 等效量。将组织水的便携式 NMR 深度分布与从 Dixon 和基于 T 的 MR 图像重建的等效深度分布进行比较,后者用作 MD 等效参考标准。使用便携式 NMR 获得的深度分布与重建的参考标准分布之间的一致性是可变的,但总体上令人鼓舞。与在体外进行的乳房组织外植体测量中看到的一致性相比,其一致性稍差,其中定量微 CT 被用作参考标准。体内一致性较低的原因可能是由于在乳房表面放置便携式 NMR 传感器的位置和便携式 NMR 测量中的乳房压缩存在不确定性。便携式 NMR 与定量 MRI 之间的一致性令人鼓舞。虽然结果需要进一步开发定量便携式 NMR,但它们证明了基于便携式 NMR 的体内定量组成成像的原理可行性,并为开发适合临床应用的安全、低成本 MD 定量协议提供了希望。

相似文献

1
Portable NMR for quantification of breast density in vivo: Proof-of-concept measurements and comparison with quantitative MRI.便携式 NMR 用于体内乳腺密度定量:概念验证测量与定量 MRI 的比较。
Magn Reson Imaging. 2022 Oct;92:212-223. doi: 10.1016/j.mri.2022.07.004. Epub 2022 Jul 16.
2
Quantification of breast tissue density: Correlation between single-sided portable NMR and micro-CT measurements.乳腺组织密度定量:单侧便携式 NMR 与微 CT 测量的相关性。
Magn Reson Imaging. 2019 Oct;62:111-120. doi: 10.1016/j.mri.2019.06.006. Epub 2019 Jun 7.
3
Quantitative measurement of mammographic density in breast-tissue explants using portable NMR: Precision and accuracy.使用便携式 NMR 对乳腺组织标本进行乳腺密度的定量测量:精密度和准确性。
Magn Reson Med. 2024 Jul;92(1):374-388. doi: 10.1002/mrm.30040. Epub 2024 Feb 21.
4
Transverse relaxation-based assessment of mammographic density and breast tissue composition by single-sided portable NMR.基于横向弛豫的单侧便携式 NMR 评估乳腺密度和乳腺组织成分。
Magn Reson Med. 2019 Sep;82(3):1199-1213. doi: 10.1002/mrm.27781. Epub 2019 Apr 29.
5
T -based sensing of mammographic density using single-sided portable NMR.使用单侧便携式核磁共振技术基于T值检测乳腺X线密度。
Magn Reson Med. 2018 Sep;80(3):1243-1251. doi: 10.1002/mrm.27098. Epub 2018 Feb 4.
6
Reproducible automated breast density measure with no ionizing radiation using fat-water decomposition MRI.利用水脂分解 MRI 实现无电离辐射的可重复自动化乳腺密度测量。
J Magn Reson Imaging. 2018 Oct;48(4):971-981. doi: 10.1002/jmri.26041. Epub 2018 Apr 6.
7
Sensing mammographic density using single-sided portable Nuclear Magnetic Resonance.使用单侧便携式核磁共振技术检测乳腺钼靶密度。
Saudi J Biol Sci. 2022 Apr;29(4):2447-2454. doi: 10.1016/j.sjbs.2021.12.022. Epub 2021 Dec 16.
8
Breast fat volume measurement using wide-bore 3 T MRI: comparison of traditional mammographic density evaluation with MRI density measurements using automatic segmentation.使用大孔径3T磁共振成像测量乳腺脂肪体积:传统乳腺X线摄影密度评估与使用自动分割的磁共振成像密度测量的比较
Clin Radiol. 2017 Jul;72(7):565-572. doi: 10.1016/j.crad.2017.02.014. Epub 2017 Mar 28.
9
Mammographic density, MRI background parenchymal enhancement and breast cancer risk.乳腺密度、MRI 背景实质增强与乳腺癌风险。
Ann Oncol. 2013 Nov;24 Suppl 8(Suppl 8):viii37-viii41. doi: 10.1093/annonc/mdt310.
10
A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging.一项利用三维T1加权磁共振成像对乳房进行成分分析及估计乳房钼靶密度的初步研究。
Cancer Epidemiol Biomarkers Prev. 2008 Sep;17(9):2268-74. doi: 10.1158/1055-9965.EPI-07-2547.