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Computer aided diagnosis (CAD) of breast mass on ultrasonography and scintimammography

机译:超声和闪烁乳腺摄影术对乳腺肿块的计算机辅助诊断(CAD)

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Both breast ultrasonography (US) and scintimammography (SMM) shows limited diagnostic accuracy in the differential diagnosis of breast cancer. We investigated whether the diagnostic performance of computer-aided diagnosis (CAD) of US was improved by adding SMM results. We retrospectively reviewed 40 breast US images and corresponding SMM images from 40 patients who presented with breast masses (21 malignant and 19 benign tumors). The morphologic features of the breast lesions on US were extracted and quantitated using the automated CAD software program (So no Eye, CAD Impact, Inc., Seoul, Korea), which calculated the probability of malignancy based on the stored database. The quantitative data of SMM were obtained as the uptake ratio of lesion to contralateral normal breast on SMM SPECT. The diagnostic accuracy of CAD of US and SMM was determined using ROC curve analysis, respectively. The best discriminating function combining the CAD results of US and SMM uptake value was created using linear discriminant analysis and the diagnostic performance was compared to that using only one diagnostic modality. Both US and SMM showed a relatively good diagnostic accuracy (area under curve=0.831 and 0.846, respectively). Combining CAD results of US and SMM resulted in improved diagnostic accuracy (area under curve =0.860), but it was not statistically significant. The diagnostic performance of CAD of breast US in the differential diagnosis of the breast mass was not significantly improved by adding SMM. However, SMM SPECT may be complementary to CAD of US in differential diagnosis of breast cancer.
机译:乳房超声(US)和ScintImampicoction(SMM)都在乳腺癌的差异诊断中显示出有限的诊断准确性。我们调查了通过添加SMM结果来改善我们的计算机辅助诊断(CAD)的诊断性能。我们回顾性地审查了40名乳房美国图像和相应的SMM图像,来自乳房肿块的40名患者(21个恶性和19个良性肿瘤)。使用自动化CAD软件程序(如此无人,CAD Impact,Inc.,首尔,韩国)提取和定量乳房病变的形态学特征,其基于存储的数据库计算恶性肿瘤的概率。获得SMM的定量数据作为病变对对侧正常乳房对对侧乳房的摄取比。使用ROC曲线分析确定了US和SMM的CAD的诊断准确性。使用线性判别分析产生组合美国和SMM摄取值的CAD结果的最佳辨别功能,并将诊断性能与仅使用一个诊断方式进行比较。我们和SMM都显示出相对良好的诊断精度(分别在曲线下的面积= 0.831和0.846)。组合美国和SMM的CAD结果导致诊断准确性提高(曲线下的面积= 0.860),但它没有统计学意义。 CAD乳房美国在乳房质量差异诊断中的诊断性能未得到显着改善SMM。然而,SMM SPECT可能与我们CAD互补的乳腺癌的CAD。

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