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Integration of DCE-MRI and DW-MRI Quantitative Parameters for Breast Lesion Classification

机译:结合DCE-MRI和DW-MRI定量参数进行乳腺病变分类

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Objective. The purpose of our study was to evaluate the diagnostic value of an imaging protocol combining dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI) in patients with suspicious breast lesions.Materials and Methods. A total of 31 breast lesions (15 malignant and 16 benign proved by histological examination) in 26 female patients were included in this study. For both DCE-MRI and DW-MRI model free and model based parameters were computed pixel by pixel on manually segmented ROIs. Statistical procedures included conventional linear analysis and more advanced techniques for classification of lesions in benign and malignant.Results. Our findings indicated no strong correlation between DCE-MRI and DW-MRI parameters. Results of classification analysis show that combining of DCE parameters or DW-MRI parameter, in comparison of single feature, does not yield a dramatic improvement of sensitivity and specificity of the two techniques alone. The best performance was obtained considering a full combination of all features. Moreover, the classification results combining all features are dominated by DCE-MRI features alone.Conclusion. The combination of DWI and DCE-MRI does not show a potential to dramatically increase the sensitivity and specificity of breast MRI. DCE-MRI alone gave the same performance as in combination with DW-MRI.
机译:目的。本研究的目的是评估结合动态对比增强MRI(DCE-MRI)和弥散加权MRI(DW-MRI)的影像学方案对可疑乳腺病变的诊断价值。材料和方法。本研究共纳入26例女性患者的31个乳腺病变(15例恶性和16例经组织学检查证实为良性)。对于DCE-MRI和DW-MRI模型,在手动分割的ROI上逐像素计算免费模型和基于模型的参数。统计程序包括常规线性分析和更先进的技术,用于对良恶性病变进行分类。我们的发现表明DCE-MRI和DW-MRI参数之间没有强相关性。分类分析的结果表明,与单个特征相比,DCE参数或DW-MRI参数的组合并不能显着提高两种技术的灵敏度和特异性。综合考虑所有功能,可获得最佳性能。此外,结合所有特征的分类结果仅以DCE-MRI特征为主导。 DWI和DCE-MRI的结合并未显示出显着提高乳腺MRI敏感性和特异性的潜力。单独的DCE-MRI可以提供与DW-MRI相同的性能。

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