首页> 美国卫生研究院文献>AJNR: American Journal of Neuroradiology >Can Trace-Weighted Images Be Used to Estimate Diffusional Kurtosis Imaging–Derived Indices of Non-Gaussian Water Diffusion in Head and Neck Cancer?
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Can Trace-Weighted Images Be Used to Estimate Diffusional Kurtosis Imaging–Derived Indices of Non-Gaussian Water Diffusion in Head and Neck Cancer?

机译:可以追溯重量图像用于估计头部和颈部癌症中非高斯水扩散的扩散峰影像成像索引?

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摘要

We read with great interest the appealing article by Tu et al,1 aimed at assessing the role of histogram-based descriptors of the non-Gaussian diffusional kurtosis imaging (DKI) model2 in treatment-response prediction of nasopharyngeal carcinoma. They found that histogram-based analysis of DKI-derived indices of “kurtosis” and “diffusivity” may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma, therefore possibly modifying the treatment regimen. Considering that DKI is a quantitative diffusion MR imaging technique, we think it would be of practical interest to discuss in greater detail the approach used to estimate kurtosis and diffusivity in this study and in various DKI applications in general.
机译:我们以极大的兴趣阅读了Tu等,1的吸引力文章,旨在评估基于直方图的基于直方图的非高斯扩散峰成像(DKI)模型2在鼻咽癌的治疗响应预测中的作用。他们发现,基于直方图的“kurtosis”和“扩散性”的DKI衍生指标分析可能潜在地预测型新辅助化疗和短期放射治疗反应在型鼻咽癌中,因此可能改变治疗方案。考虑到DKI是定量扩散MR成像技术,我们认为更详细地讨论该研究中的方法是实际兴趣,用于估算本研究中的峰氏症和扩散性以及一般的各种DKI应用。

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