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Evaluation of computer-aided detection of lesions in mammograms obtained with a digital phase-contrast mammography system

机译:使用数字相衬乳腺X线摄影系统对乳腺X线照片中的病变进行计算机辅助检测的评估

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摘要

A computer-aided detection (CAD) system was evaluated for its ability to detect microcalcifications and masses on images obtained with a digital phase-contrast mammography (PCM) system, a system characterised by the sharp images provided by phase contrast and by the high resolution of 25-μm-pixel mammograms. Fifty abnormal and 50 normal mammograms were collected from about 3,500 mammograms and printed on film for reading on a light box. Seven qualified radiologists participated in an observer study based on receiver operating characteristic (ROC) analysis. The average of the areas under ROC curve (AUC) values for the ROC analysis with and without CAD were 0.927 and 0.897 respectively (P = 0.015). The AUC values improved from 0.840 to 0.888 for microcalcifications (P = 0.034) and from 0.947 to 0.962 for masses (P = 0.025) respectively. The application of CAD to the PCM system is a promising approach for the detection of breast cancer in its early stages.
机译:评估了计算机辅助检测(CAD)系统检测通过数字相衬乳房X线照相(PCM)系统获得的图像上的微钙化和肿块的能力,该系统的特征在于由相衬和高分辨率提供的清晰图像25微米像素的乳房X线照片。从约3500幅乳腺X线照片中收集了50幅异常乳腺X线照片和50幅正常乳腺X线照片,并印在胶片上以便在灯箱上阅读。七名合格的放射科医生参加了基于接收器工作特性(ROC)分析的观察员研究。使用和不使用CAD的ROC分析的ROC曲线下面积平均值(AUC)分别为0.927和0.897(P = 0.015)。微钙化的AUC值从0.840改善到0.888(P = 0.034),质量的AUC值从0.947改善到0.962(P = 0.025)。将CAD应用于PCM系统是早期检测乳腺癌的有前途的方法。

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