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比较1.5T和3T下两种不同方案的平均乳腺脂肪含量结果:数据可以合并吗?

Comparing average breast fat content results from two different protocols at 1.5T and 3T: can the data be pooled?

作者信息

Chavez Sofia, Stanisz Greg

机构信息

Centre for Addiction and Mental Health, Research Imaging Centre, Toronto, ON, Canada; University of Toronto, Psychiatry, Toronto, ON, Canada.

出版信息

J Magn Reson Imaging. 2014 Oct;40(4):890-8. doi: 10.1002/jmri.24452. Epub 2013 Nov 25.

Abstract

PURPOSE

To compare the total breast fat content computed from two separate studies, performed on different scanners and with different protocols, with the goal of defining a relationship to allow pooling the data.

MATERIALS AND METHODS

Twelve healthy volunteer women were scanned with two different protocols on the same day. The protocols differed in four important aspects: vendors (GE vs. Philips), scanner main magnetic field strengths (1.5T vs. 3T), pulse sequences (2D fast spin-echo vs. 3D spoiled gradient-echo), and water/fat separation techniques. The resulting water and fat maps were processed with in-house software to extract breast tissue slice-wise. Percent fat content was calculated for each breast, per subject.

RESULTS

Total percent fat contents (averaged across both breasts) resulting from both protocols were plotted against each other, on a subject-by-subject basis, revealing a strong correlation (R(2)  > 0.99), with an overestimation of the fat content from Protocol 1 relative to Protocol 2. The proposed T2 TE-correction for Protocol 1 improves the correlation while decreasing the discrepancy between protocols.

CONCLUSION

Total breast fat content of healthy women resulting from the two protocols can be pooled using a linear relationship. The proposed T2 TE-corrected Protocol 1 is expected to yield accurate fat content.

摘要

目的

比较在不同扫描仪上采用不同方案进行的两项独立研究计算得出的乳腺总脂肪含量,目的是确定一种关系以便合并数据。

材料与方法

12名健康志愿者女性在同一天采用两种不同方案进行扫描。方案在四个重要方面存在差异:设备供应商(通用电气公司与飞利浦公司)、扫描仪主磁场强度(1.5T与3T)、脉冲序列(二维快速自旋回波与三维扰相梯度回波)以及水/脂肪分离技术。对所得的水图和脂肪图使用内部软件进行处理,以逐片提取乳腺组织。计算每个受试者每侧乳房的脂肪含量百分比。

结果

将两种方案得出的总脂肪含量百分比(双侧乳房平均值)逐受试者相互绘制,显示出强相关性(R²>0.99),相对于方案2,方案1的脂肪含量存在高估。针对方案1提出的T2 TE校正提高了相关性,同时减少了方案之间的差异。

结论

可以使用线性关系合并两种方案得出的健康女性乳腺总脂肪含量。预计所提出的经T2 TE校正的方案1将产生准确的脂肪含量。

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