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使用3T磁共振成像系统进行乳腺密度评估:不同序列之间的比较

Breast density assessment using a 3T MRI system: comparison among different sequences.

作者信息

Tagliafico Alberto, Bignotti Bianca, Tagliafico Giulio, Astengo Davide, Martino Lucia, Airaldi Sonia, Signori Alessio, Sormani Maria Pia, Houssami Nehmat, Calabrese Massimo

机构信息

Institute of Anatomy, Department of Experimental Medicine, University of Genova, Genova, Italy.

Radiology Department, University of Genova, Genova, Italy.

出版信息

PLoS One. 2014 Jun 3;9(6):e99027. doi: 10.1371/journal.pone.0099027. eCollection 2014.

DOI:10.1371/journal.pone.0099027
PMID:24892933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4044003/
Abstract

PURPOSE

To compare MRI sequences for breast density measurements on a 3T MRI system using IDEAL (Iterative Decomposition of water and fat with Echo Asymmetry and Least squares estimation) as possible physiology-like reference.

MATERIALS AND METHODS

MRI examination was performed in 48 consecutive patients (mean age 41, years; range, 35-67 years) on a 3.0T scanner and 46 were included. All (fertile) women, were examined between days 5 and 15 of their menstrual cycle. MRI protocol included: T1-turbo spin-echo (T1-tSE), T2-turbo spin-echo (T2-tSE), VIBRANT (Volume Imaging for Breast Assessment) before and after injection of contrast media and IDEAL. Breast density was calculated with semi-automated software. Statistical analysis was performed with non-parametric tests.

RESULTS

Mean percentage of breast density calculated in each sequence was: T1-tSE = 56%; T2-tSE  = 52%; IDEAL FatOnly  = 55%; IDEAL WaterOnly  = 53%, VIBRANT = 55%. Significant differences were observed between T2-tSE and both T1-tSE (p<0.001), VIBRANT sequences (p = 0.009), T1-tSE and both IDEAL WaterOnly (p = 0.007) and IDEAL FatOnly (p = 0.047). Breast density percentage showed a positive linear correlation among different sequences: r ≥ 0.93.

CONCLUSIONS

Differences exist between MRI sequences used to assess breast density percentage. T1-weighted sequences values were similar to IDEAL sequences.

摘要

目的

在3T磁共振成像(MRI)系统上,比较使用迭代分解水和脂肪与回波不对称及最小二乘估计(IDEAL)作为可能的类似生理参考的MRI序列用于乳腺密度测量的情况。

材料与方法

对48例连续患者(平均年龄41岁;范围35 - 67岁)在3.0T扫描仪上进行MRI检查,纳入46例。所有(育龄)女性在月经周期的第5至15天接受检查。MRI检查方案包括:T1加权快速自旋回波(T1-tSE)、T2加权快速自旋回波(T2-tSE)、注射造影剂前后的乳腺容积成像(VIBRANT)以及IDEAL。使用半自动软件计算乳腺密度。采用非参数检验进行统计分析。

结果

各序列计算出的乳腺密度平均百分比为:T1-tSE = 56%;T2-tSE = 52%;IDEAL仅脂肪图像 = 55%;IDEAL仅水图像 = 53%,VIBRANT = 55%。观察到T2-tSE与T1-tSE(p<0.001)、VIBRANT序列(p = 0.009)、T1-tSE与IDEAL仅水图像(p = 0.007)以及IDEAL仅脂肪图像(p = 0.047)之间存在显著差异。不同序列间乳腺密度百分比呈正线性相关:r≥0.93。

结论

用于评估乳腺密度百分比的MRI序列之间存在差异。T1加权序列值与IDEAL序列相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbda/4044003/1afdea0608e3/pone.0099027.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbda/4044003/1afdea0608e3/pone.0099027.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbda/4044003/1afdea0608e3/pone.0099027.g001.jpg

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2
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Br J Radiol. 2013 Dec;86(1032):20130528. doi: 10.1259/bjr.20130528. Epub 2013 Oct 28.
3
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Eur Radiol. 2023 Jun;33(6):3810-3818. doi: 10.1007/s00330-022-09341-x. Epub 2022 Dec 20.
4
Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment.乳腺实质密度的多模态成像及其与风险评估的相关性
Curr Breast Cancer Rep. 2019 Mar;11(1):23-33. doi: 10.1007/s12609-019-0302-6. Epub 2019 Jan 17.
5
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model.基于非脂肪饱和模型的迁移学习的脂肪饱和磁共振图像 U-Net 乳腺密度分割方法的开发。
J Digit Imaging. 2021 Aug;34(4):877-887. doi: 10.1007/s10278-021-00472-z. Epub 2021 Jul 9.
6
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5
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6
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J Magn Reson Imaging. 2013 Jan;37(1):227-32. doi: 10.1002/jmri.23762. Epub 2012 Aug 3.
7
Density is in the eye of the beholder: visual versus semi-automated assessment of breast density on standard mammograms.密度因人而异:标准乳房 X 光片上的乳腺密度的视觉评估与半自动评估。
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8
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