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Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?

机译:乳房Xmmopare系统是否影响计算机化实质分析的性能?

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Early identification of women at high risk of developing breast cancer is fundamental for timely diagnosis and treatment. Recently, researchers have demonstrated that the computerized analysis of parenchymal (breast tissue) patterns in mammograms can be utilized to assess the risk level of patients. However, parenchymal analysis being an image-based biomarker, its performance may be affected by the acquisition parameters of the mammogram. Unfortunately, research on the effect of the mammographic system on the performance of parenchymal analysis is very scarce. In this paper, we implement a parenchymal analysis algorithm and study the effect of different mammographic systems on its performance. We show in a setting of 286 women that the use of different mammographic systems can yield differences of up to 24% in the area under the ROC curve. Results suggest the the construction of models for risk assessment based on parenchymal analysis should incorporate the imaging technologies into the analysis.
机译:早期鉴定患乳腺癌的高危患者是及时诊断和治疗的基础。最近,研究人员已经证明,可以利用乳房X线图中实质(乳房组织)模式的计算机化分析来评估患者的风险程度。然而,实质分析是一种基于图像的生物标志物,其性能可能受到乳房X光检查的采集参数的影响。不幸的是,对乳房X线监测系统对实质分析性能的影响非常稀缺。本文实施了实质分析算法,研究了不同乳房监测系统对其性能的影响。我们展示了286名女性,使用不同的乳房监测系统可以在ROC曲线下的区域中产生高达24%的差异。结果表明,基于实质分析的风险评估模型的构建应纳入分析中的成像技术。

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