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首页> 外文期刊>Academic radiology >Reader variability in breast density estimation from full-field digital mammograms. The effect of image postprocessing on relative and absolute measures
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Reader variability in breast density estimation from full-field digital mammograms. The effect of image postprocessing on relative and absolute measures

机译：全场数字乳房X线图的乳房密度估计中的读者变异性。 后期图像对相对和绝对措施的影响

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摘要

Rationale and Objectives: Mammographic breast density, a strong risk factor for breast cancer, may be measured as either a relative percentage of dense (ie, radiopaque) breast tissue or as an absolute area from either raw (ie, "for processing") or vendor postprocessed (ie, "for presentation") digital mammograms. Given the increasing interest in the incorporation of mammographic density in breast cancer risk assessment, the purpose of this study is to determine the inherent reader variability in breast density assessment from raw and vendor-processed digital mammograms, because inconsistent estimates could to lead to misclassification of an individual woman's risk for breast cancer. Materials and Methods: Bilateral, mediolateral-oblique view, raw, and processed digital mammograms of 81 women were retrospectively collected for this study (N = 324 images). Mammographic percent density and absolute dense tissue area estimates for each image were obtained from two radiologists using a validated, interactive software tool. Results: The variability of interreader agreement was not found to be affected by the image presentation style (ie, raw or processed, F-test: P > .5). Interreader estimates of relative and absolute breast density are strongly correlated (Pearson r > 0.84, P < .001) but systematically different (t-test, P < .001) between the two readers. Conclusion: Our results show that mammographic density may be assessed with equal reliability from either raw or vendor postprocessed images. Furthermore, our results suggest that the primary source of density variability comes from the subjectivity of the individual reader in assessing the absolute amount of dense tissue present in the breast, indicating the need to use standardized tools to mitigate this effect. ? 2013 AUR.
机译：理由和目标：乳腺乳腺乳腺密度，乳腺癌的强大风险因素，可以测量致密（即，无线电话）乳腺组织的相对百分比或从原料（即“）或加工”）或供应商后期（即“呈现”）数字乳房X线照片。鉴于患乳腺癌风险评估中的乳腺素密度的兴趣日益越来越令人兴趣，本研究的目的是确定原始和供应商加工的数字乳房X光线照片的乳房密度评估中固有的读者可变性，因为估计可能导致错误分类个体妇女对乳腺癌的风险。材料与方法：回顾性地收集了81名女性的双侧，Mediolate-斜视，原始和加工的数字乳房X线图（n = 324图像）。使用经过验证的交互式软件工具，从两个放射科医师获得每个图像的乳房X线百分比和绝对致密组织区域。结果：未发现Intereader协议的可变性将受到图像呈现风格的影响（即，原始或已加工，F-Test：P> .5）。相对和绝对乳房密度的中间体估计是强烈相关的（Pearson r> 0.84，p <.001），但在两个读者之间系统地不同（t-test，p <.001）。结论：我们的结果表明，可以从原始或供应商后处理图像中的相同可靠性评估乳房X光密度。此外，我们的结果表明，密度变异的主要来源来自个别读取器的主体性，在评估乳房中存在的绝对量的致密组织的绝对量，表明需要使用标准化工具来减轻这种效果。还2013年AUR。

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  • 来源
    《Academic radiology》 |2013年第5期|共9页
  • 作者

    KellerB.M.; NathanD.L.; GavenonisS.C.; ChenJ.; ConantE.F.; KontosD.;

  • 作者单位

    Department of Radiology University of Pennsylvania Perelman School of Medicine 3600 Market St;

    Department of Radiology University of Pennsylvania Perelman School of Medicine 3600 Market St;

    Department of Radiology University of Pennsylvania Perelman School of Medicine 3600 Market St;

    Department of Biostatistics and Epidemiology University of Pennsylvania Perelman School of;

    Department of Radiology University of Pennsylvania Perelman School of Medicine 3600 Market St;

    Department of Radiology University of Pennsylvania Perelman School of Medicine 3600 Market St;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 放射医学;
  • 关键词

    Breast cancer risk; Breast density; Digital mammography; Reader variability;

    机译：乳腺癌风险;乳房密度;数字乳房X线影术;读者变异性;

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