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质子密度水分数可作为一种重复性好的基于磁共振的乳腺密度测量方法。

Proton density water fraction as a reproducible MR-based measurement of breast density.

机构信息

Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

Magn Reson Med. 2022 Apr;87(4):1742-1757. doi: 10.1002/mrm.29076. Epub 2021 Nov 14.

DOI:10.1002/mrm.29076
PMID:34775638
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8886798/
Abstract

PURPOSE

To introduce proton density water fraction (PDWF) as a confounder-corrected (CC) MR-based biomarker of mammographic breast density, a known risk factor for breast cancer.

METHODS

Chemical shift encoded (CSE) MR images were acquired using a low flip angle to provide proton density contrast from multiple echo times. Fat and water images, corrected for known biases, were produced by a six-echo CC CSE-MRI algorithm. Fibroglandular tissue (FGT) volume was calculated from whole-breast segmented PDWF maps at 1.5T and 3T. The method was evaluated in (1) a physical fat-water phantom and (2) normal volunteers. Results from two- and three-echo CSE-MRI methods were included for comparison.

RESULTS

Six-echo CC-CSE-MRI produced unbiased estimates of the total water volume in the phantom (mean bias 3.3%) and was reproducible across protocol changes (repeatability coefficient [RC] = 14.8 cm and 13.97 cm at 1.5T and 3.0T, respectively) and field strengths (RC = 51.7 cm ) in volunteers, while the two- and three-echo CSE-MRI approaches produced biased results in phantoms (mean bias 30.7% and 10.4%) that was less reproducible across field strengths in volunteers (RC = 82.3 cm and 126.3 cm ). Significant differences in measured FGT volume were found between the six-echo CC-CSE-MRI and the two- and three-echo CSE-MRI approaches (p = 0.002 and p = 0.001, respectively).

CONCLUSION

The use of six-echo CC-CSE-MRI to create unbiased PDWF maps that reproducibly quantify FGT in the breast is demonstrated. Further studies are needed to correlate this quantitative MR biomarker for breast density with mammography and overall risk for breast cancer.

摘要

目的

引入质子密度水分数(PDWF)作为一种经混杂因素校正(CC)的基于磁共振的乳腺密度生物标志物,乳腺密度是乳腺癌的一个已知危险因素。

方法

采用低翻转角采集化学位移编码(CSE)MR 图像,以提供来自多个回波时间的质子密度对比。通过六回波 CC CSE-MRI 算法对脂肪和水图像进行校正,以校正已知偏差。在 1.5T 和 3T 时,从全乳分段 PDWF 图计算纤维腺体组织(FGT)体积。该方法在(1)物理脂肪-水体模和(2)正常志愿者中进行了评估。还包括了两回波和三回波 CSE-MRI 方法的结果进行比较。

结果

六回波 CC-CSE-MRI 对体模中总水量的估计无偏差(平均偏差 3.3%),并且在协议变化(1.5T 和 3.0T 的重复性系数 [RC] 分别为 14.8cm 和 13.97cm)和场强(RC = 51.7cm)下具有可重复性志愿者,而两回波和三回波 CSE-MRI 方法在体模中产生了有偏差的结果(平均偏差 30.7%和 10.4%),在志愿者中场强的可重复性较差(RC = 82.3cm 和 126.3cm)。在六回波 CC-CSE-MRI 和两回波和三回波 CSE-MRI 方法之间发现了测量的 FGT 体积的显著差异(p = 0.002 和 p = 0.001,分别)。

结论

使用六回波 CC-CSE-MRI 生成无偏差的 PDWF 图,可重复性地定量乳腺中的 FGT,这一点得到了证明。需要进一步的研究将这种定量磁共振生物标志物与乳房 X 线照相术和乳腺癌的总体风险相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/e892c6b2ec68/nihms-1750431-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/8fab319b75c4/nihms-1750431-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/de700a03ab78/nihms-1750431-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/df814166f30b/nihms-1750431-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/da9053a830d1/nihms-1750431-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/93b43f511192/nihms-1750431-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/5394dcfb2aa1/nihms-1750431-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/2997321a6a09/nihms-1750431-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/09cee6fe67f7/nihms-1750431-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/43f3b57eae00/nihms-1750431-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/e892c6b2ec68/nihms-1750431-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/8fab319b75c4/nihms-1750431-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/de700a03ab78/nihms-1750431-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/df814166f30b/nihms-1750431-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/da9053a830d1/nihms-1750431-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/93b43f511192/nihms-1750431-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/5394dcfb2aa1/nihms-1750431-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/2997321a6a09/nihms-1750431-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/09cee6fe67f7/nihms-1750431-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/43f3b57eae00/nihms-1750431-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b98/8886798/e892c6b2ec68/nihms-1750431-f0010.jpg

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