• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>SPIE Medical Imaging Conference >Association between Background Parenchymal Enhancement of Breast MRI and BIRADS Rating Change in the Subsequent Screening
【24h】

Association between Background Parenchymal Enhancement of Breast MRI and BIRADS Rating Change in the Subsequent Screening

机译：乳房MRI的背景实质增强与BIRADS评分改变之间的关联

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Although breast magnetic resonance imaging (MRI) has been used as a breast cancer screening modality for high-risk women, its cancer detection yield remains low (i.e., < 3%). Thus, increasing breast MRI screening efficacy and cancer detection yield is an important clinical issue in breast cancer screening. In this study, we investigated association between the background parenchymal enhancement (BPE) of breast MRI and the change of diagnostic (BIRADS) status in the next subsequent breast MRI screening. A dataset with 65 breast MRI screening cases was retrospectively assembled. All cases were rated BIRADS-2 (benign findings). In the subsequent screening, 4 cases were malignant (BIRADS-6), 48 remained BIRADS-2 and 13 were downgraded to negative (BIRADS-1). A computer-aided detection scheme was applied to process images of the first set of breast MRI screening. Total of 33 features were computed including texture feature and global BPE features. Texture features were computed from either a gray-level co-occurrence matrix or a gray level run length matrix. Ten global BPE features were also initially computed from two breast regions and bilateral difference between the left and right breasts. Box-plot based analysis shows positive association between texture features and BIRADS rating levels in the second screening. Furthermore, a logistic regression model was built using optimal features selected by a CFS based feature selection method. Using a leave-one-case-out based cross-validation method, classification yielded an overall 75% accuracy in predicting the improvement (or downgrade) of diagnostic status (to BIRAD-1) in the subsequent breast MRI screening. This study demonstrated potential of developing a new quantitative imaging marker to predict diagnostic status change in the short-term, which may help eliminate a high fraction of unnecessary repeated breast MRI screenings and increase the cancer detection yield.
机译：尽管乳房磁共振成像（MRI）已被用作高危女性的乳腺癌筛查手段，但其癌症检出率仍然很低（即<3％）。因此，增加乳房MRI检查的效率和癌症检出率是乳腺癌检查中的重要临床问题。在这项研究中，我们调查了乳腺MRI的背景实质增强（BPE）与下一次乳腺MRI筛查的诊断（BIRADS）状态变化之间的关联。回顾性收集了65个乳房MRI筛查病例的数据集。所有病例均被评定为BIRADS-2（良性发现）。在随后的筛查中，有4例为恶性（BIRADS-6），剩下的48例为BIRADS-2，有13例降级为阴性（BIRADS-1）。应用计算机辅助检测方案来处理第一组乳房MRI筛查的图像。共计算了33个特征，包括纹理特征和全局BPE特征。从灰度共生矩阵或灰度游程长度矩阵计算纹理特征。最初还从两个乳房区域以及左右乳房之间的双侧差异中计算了十个全球BPE特征。基于箱线图的分析显示，在第二次筛选中，纹理特征与BIRADS等级之间存在正相关。此外，使用通过基于CFS的特征选择方法选择的最佳特征构建了逻辑回归模型。使用基于留一案例的交叉验证方法，分类在随后的乳房MRI筛查中预测诊断状态（至BIRAD-1）的改善（或降级）时，总体准确性为75％。这项研究证明了开发新的定量成像标记物以预测短期诊断状态变化的潜力，这可能有助于消除大部分不必要的重复乳房MRI筛查，并提高癌症检出率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号