A study on diffusion and kurtosis features of cervical cancer based on non Gaussian diffusion weighted model

Wang Panying; Thapa Deepa; Wu Guangyao; Sun Qunqi; Cai Hongbin; Tuo Fei

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A study on diffusion and kurtosis features of cervical cancer based on non Gaussian diffusion weighted model

机译：基于非高斯扩散加权模型的宫颈癌扩散与山脉分裂特征研究

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摘要

Objective: To explore the diffusion and kurtosis features of cervical cancer (CC) and study the feasibility of diffusion kurtosis imaging (DKI) based on the non-Gaussian diffusion-weighted model to differentiate the stage and grade of CC.

机译：目的：探讨宫颈癌（CC）的扩散和山脉分子特征，并基于非高斯扩散加权模型来研究扩散峰成像（DKI）以区分CC的阶段和等级。

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来源
《Magnetic resonance imaging: An International journal of basic research and clinical applications》 |2018年第2018期|共7页
作者
Wang Panying; Thapa Deepa; Wu Guangyao; Sun Qunqi; Cai Hongbin; Tuo Fei;
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作者单位

Wuhan Univ Zhongnan Hosp Dept Radiol Wuhan 430071 Hubei Peoples R China;

Wuhan Univ Zhongnan Hosp Dept Radiol Wuhan 430071 Hubei Peoples R China;

Wuhan Univ Zhongnan Hosp Dept Radiol Wuhan 430071 Hubei Peoples R China;

Wuhan Univ Zhongnan Hosp Dept Radiol Wuhan 430071 Hubei Peoples R China;

Wuhan Univ Zhongnan Hosp Dept Female Tumor Wuhan 430071 Hubei Peoples R China;

Wuhan Univ Zhongnan Hosp Dept Female Tumor Wuhan 430071 Hubei Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类磁性弛豫及共振现象;
关键词
Diffusion kurtosis imaging (DKI); Cervical cancer; Magnetic resonance imaging; Clinical staging; Pathological grading;

机译：扩散峰静脉成像（DKI）;宫颈癌;磁共振成像;临床分期;病理分级;

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专利

1. A study on diffusion and kurtosis features of cervical cancer based on non Gaussian diffusion weighted model [J] . Wang Panying, Thapa Deepa, Wu Guangyao, Magnetic resonance imaging: An International journal of basic research and clinical applications . 2018,第期

机译：基于非高斯扩散加权模型的宫颈癌扩散与山脉分裂特征研究
2. Can Trace-Weighted Images Be Used to Estimate Diffusional Kurtosis Imaging-Derived Indices of Non-Gaussian Water Diffusion in Head and Neck Cancer? [J] . Giannelli M., Marzi C., Mascalchi M., AJNR. American journal of neuroradiology . 2019,第9期

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吗？
3. Diffusional kurtosis imaging in head and neck cancer: On the use of trace-weighted images to estimate indices of non-Gaussian water diffusion [J] . Marzi Simona, Minosse Silvia, Vidiri Antonello, Medical Physics . 2018,第12期

机译：头部和颈部癌中的漫射峰成像：关于使用痕量的图像来估计非高斯水分扩散的指标
4. Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions [C] . Ileana Montoya Perez, Jussi Toivonen, Parisa Movahedi, International Conference on Image Processing Theory, Tools and Applications . 2016

机译：前列腺癌的扩散加权成像：使用单指数和峰态函数参数图的纹理特征预测癌症
5. An integrative study of mobile technology adoption based on the technology acceptance model, theory of planned behavior and diffusion of innovation theory. [D] . Lee, Sang-Gun. 2003

机译：基于技术接受模型，计划行为理论和创新理论传播的移动技术采用的综合研究。
6. Can Trace-Weighted Images Be Used to Estimate Diffusional Kurtosis Imaging–Derived Indices of Non-Gaussian Water Diffusion in Head and Neck Cancer? [O] . M. Giannelli, C. Marzi, M. Mascalchi, 2019

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？
7. Can Trace-Weighted Images Be Used to Estimate Diffusional Kurtosis Imaging–Derived Indices of Non-Gaussian Water Diffusion in Head and Neck Cancer? [O] . M. Giannelli, C. Marzi, M. Mascalchi, 2019

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？

A study on diffusion and kurtosis features of cervical cancer based on non Gaussian diffusion weighted model

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