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Evaluation of Computer Aided Diagnosis (CAD) in the Interpretation of Mass Lesions seen on Breast Sonography

机译:评估计算机辅助诊断(CAD)对乳腺超声检查中发现的肿块的评估

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Purpose Sonography for the diagnosis of breast cancer, is important in Korea because Oriental women have denser breast and their breast cancer generally occurs at a younger age. We investigate the potential usefulness of computer aided diagnosis(CAD) as a tool for physicians to use in the differential diagnosis of the breast mass lesions seen on ultrasound examinations. Method We evaluated a series of pathologically proven breast tumors that were detected in our private clinic from May 2004 to April 2005. A total of 134 breast tumors (55 malignant and 79 benign tumors) were retrospectively evaluated. We located the regions of interest (ROI) on two ultrasonic images (the vertical and longitudinal views) for each mass lesion and we evaluated the malignant score with using the SonoEye2D? (Cad Impact Inc. Korea) system. Triple measurements were performed for each image and we then analyzed the data as two groups. The first group had their data analyzed by using the two perpendicular images of each mass and the second group had their data analyzed by using the one image with the longest diameter of the mass. Result The sensitivity of CAD on ultrasound images was 81.8%-96.4% for the first group and 74.6-87.3% for the second group and the specificities were 53.2-73.4%, and 59.5-68.4% respectively. The area under the receiver operating characteristic curve(AZ) was 0.811-0.816 for the first group and 0.780-0.800 for the second group. Conclusion The CAD system for the ultrasound images of breast lesions was useful in the diagnosis of breast cancer. The diagnostic accuracy for the analysis of two images was higher than for the analysis of one image.
机译:超声检查在乳腺癌中的用途很重要,因为东方女性的乳房较密,乳腺癌通常发生在年轻年龄。我们调查计算机辅助诊断(CAD)作为医生用于超声检查中发现的乳腺肿块病变的鉴别诊断的工具的潜在实用性。方法我们评估了2004年5月至2005年4月在我们的私人诊所中检测到的一系列经病理证实的乳腺肿瘤。回顾性评估了134例乳腺肿瘤(55例恶性肿瘤和79例良性肿瘤)。我们针对每个肿块病变在两个超声图像(垂直和纵向视图)上定位了感兴趣区域(ROI),并使用SonoEye2D?评估了恶性评分。 (Cad Impact Inc. Korea)系统。对每个图像进行三次测量,然后我们将数据分为两组。第一组通过使用每个质量的两个垂直图像分析数据,第二组通过使用质量最大的单个图像分析数据。结果第一组CAD对超声图像的敏感性为81.8%-96.4%,第二组为74.6-87.3%,特异性分别为53.2-73.4%和59.5-68.4%。第一组接收器工作特性曲线(AZ)下的面积为0.811-0.816,第二组为0.780-0.800。结论乳腺病变超声图像CAD系统可用于乳腺癌的诊断。用于分析两个图像的诊断准确性高于用于分析一个图像的诊断准确性。

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