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Digital Breast Tomosynthesis Parenchymal TextureAnalysis for Breast Cancer Risk Estimation: A Preliminary Study

机译:数字化乳房断层合成实质纹理分析对乳腺癌风险的估计:初步研究

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Studies with mammograms have demonstrated a relationship between parenchymal texture and breast cancer risk. Although promising, texture analysis in mammograms is limited by the effect of tissue superimposition. Digital Breast Tomosynthesis (DBT) is a novel tomographic x-ray breast imaging modality that alleviates the effect of tissue superimposition. We explore the potential advantages of DBT texture analysis for breast cancer risk estimation. We analyzed bilateral DBT and DM images from 39 women, and compared the performance of the computed texture features in (ⅰ) reflecting characteristic parenchymal properties, and (ⅱ) correlating to mammographic breast density, an established surrogate of breast cancer risk. Strong texture correlation was observed between contralateral and ipsilateral breasts, indicating that parenchymal properties are potentially inherent to an individual woman. Compared to DM, DBT texture features demonstrated a stronger correlation with breast density. Although preliminary, our results show that DBT texture analysis could potentially improve breast cancer risk estimation.
机译:乳房X线照片的研究表明,实质质地与乳腺癌风险之间存在关联。尽管前景广阔,但乳房X线照片的纹理分析受到组织叠加效果的限制。数字化乳房断层合成(DBT)是一种新颖的X线断层摄影乳房X线成像手段,可减轻组织叠加的影响。我们探索DBT纹理分析在乳腺癌风险评估中的潜在优势。我们分析了来自39位女性的双侧DBT和DM图像,并比较了(ⅰ)反映特征性实质特性和(ⅱ)与乳腺钼靶乳房密度(已确定的乳腺癌风险替代指标)的计算纹理特征的性能。在对侧和同侧乳房之间观察到强烈的质地相关性,表明实质特性可能是每个女性固有的。与DM相比,DBT纹理特征显示出与乳房密度更强的相关性。尽管是初步的,但我们的结果表明DBT纹理分析可以潜在地改善乳腺癌风险评估。

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