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乳腺组织密度百分比的估计:数字乳腺钼靶摄影(二维全视野数字化乳腺钼靶摄影)与数字乳腺断层合成技术在不同 BI-RADS 分类中的比较。

Estimation of percentage breast tissue density: comparison between digital mammography (2D full field digital mammography) and digital breast tomosynthesis according to different BI-RADS categories.

机构信息

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

出版信息

Br J Radiol. 2013 Nov;86(1031):20130255. doi: 10.1259/bjr.20130255. Epub 2013 Sep 12.

Abstract

OBJECTIVE

To compare breast density estimated from two-dimensional full-field digital mammography (2D FFDM) and from digital breast tomosynthesis (DBT) according to different Breast Imaging-Reporting and Data System (BI-RADS) categories, using automated software.

METHODS

Institutional review board approval and written informed patient consent were obtained. DBT and 2D FFDM were performed in the same patients to allow within-patient comparison. A total of 160 consecutive patients (mean age: 50±14 years; mean body mass index: 22±3) were included to create paired data sets of 40 patients for each BI-RADS category. Automatic software (MedDensity(©), developed by Giulio Tagliafico) was used to compare the percentage breast density between DBT and 2D FFDM. The estimated breast percentage density obtained using DBT and 2D FFDM was examined for correlation with the radiologists' visual BI-RADS density classification.

RESULTS

The 2D FFDM differed from DBT by 16.0% in BI-RADS Category 1, by 11.9% in Category 2, by 3.5% in Category 3 and by 18.1% in Category 4. These differences were highly significant (p<0.0001). There was a good correlation between the BI-RADS categories and the density evaluated using 2D FFDM and DBT (r=0.56, p<0.01 and r=0.48, p<0.01, respectively).

CONCLUSION

Using DBT, breast density values were lower than those obtained using 2D FFDM, with a non-linear relationship across the BI-RADS categories. These data are relevant for clinical practice and research studies using density in determining the risk.

ADVANCES IN KNOWLEDGE

On DBT, breast density values were lower than with 2D FFDM, with a non-linear relationship across the classical BI-RADS categories.

摘要

目的

使用自动化软件比较二维全数字化乳腺摄影(2D FFDM)和数字乳腺断层合成(DBT)估计的乳腺密度,根据不同的乳腺影像报告和数据系统(BI-RADS)类别。

方法

获得机构审查委员会批准和患者书面知情同意。对同一位患者进行 DBT 和 2D FFDM 检查,以允许进行患者内比较。共纳入 160 例连续患者(平均年龄:50±14 岁;平均体重指数:22±3),为每个 BI-RADS 类别创建 40 例配对数据集。使用自动软件(由 Giulio Tagliafico 开发的 MedDensity(©))比较 DBT 和 2D FFDM 之间的乳腺密度百分比。检查使用 DBT 和 2D FFDM 获得的估计乳腺百分比密度与放射科医生的视觉 BI-RADS 密度分类之间的相关性。

结果

在 BI-RADS 类别 1 中,2D FFDM 与 DBT 相差 16.0%,在类别 2 中相差 11.9%,在类别 3 中相差 3.5%,在类别 4 中相差 18.1%。这些差异具有统计学意义(p<0.0001)。BI-RADS 类别与使用 2D FFDM 和 DBT 评估的密度之间存在良好的相关性(r=0.56,p<0.01 和 r=0.48,p<0.01)。

结论

使用 DBT,乳腺密度值低于使用 2D FFDM 获得的值,并且在 BI-RADS 类别之间存在非线性关系。这些数据对于使用密度确定风险的临床实践和研究具有重要意义。

知识进展

在 DBT 上,乳腺密度值低于 2D FFDM,并且在经典 BI-RADS 类别之间存在非线性关系。

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