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

机译:乳房病变分类的DCE-MRI和DW-MRI定量参数的整合

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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:客观的。我们研究的目的是评估成像协议的诊断值与可疑乳腺病变的患者中动态对比增强MRI(DCE-MRI)和扩散加权MRI(DW-MRI)组合的诊断值。材料和方法。在本研究中,共有31例乳房病变(通过组织学检查的15个恶性和16次良性证明)。对于DCE-MRI和DW-MRI模型,基于模型的参数在手动分段的ROI上通过像素计算像素。统计程序包括常规的线性分析和更先进的技术,用于分类良性和恶性病变。结果。我们的研究结果表明DCE-MRI和DW-MRI参数之间没有强烈相关性。分类分析结果表明,单一特征相比,DCE参数或DW-MRI参数的组合不产生单独的两种技术的敏感性和特异性的显着提高。考虑到所有功能的完整组合,获得了最佳性能。此外,组合所有功能的分类结果由单独的DCE-MRI特征为主。结论。 DWI和DCE-MRI的组合并未显示出显着提高乳腺MRI的敏感性和特异性的潜力。 DCE-MRI单独涉及与DW-MRI结合相同的性能。

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