Texture analysis of apparent diffusion coefficient maps for treatment response assessment in prostate cancer bone metastases-A pilot study

Reischauer Carolin; Patzwahl Rene; Koh Dow-Mu; Froehlich Johannes M.; Gutzeit Andreas

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Texture analysis of apparent diffusion coefficient maps for treatment response assessment in prostate cancer bone metastases-A pilot study

机译：前列腺癌骨转移治疗响应评估表观扩散系数图的纹理分析 - 试验研究

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摘要

Objective: To evaluate whole-lesion volumetric texture analysis of apparent diffusion coefficient (ADC) maps for assessing treatment response in prostate cancer bone metastases.

机译：目的：评价表观扩散系数（ADC）地图的全部病变体积纹理分析，用于评估前列腺癌骨转移中治疗响应的映射。

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来源
《European Journal of Radiology》 |2018年第2018期|共7页
作者
Reischauer Carolin; Patzwahl Rene; Koh Dow-Mu; Froehlich Johannes M.; Gutzeit Andreas;
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作者单位

Hirslanden Hosp St Anna Inst Radiol &

Nucl Med Clin Res Unit St Anna Str 32 CH-6006 Luzern;

Cantonal Hosp Winterthur Dept Radiol Winterthur Switzerland;

Royal Marsden NHS Fdn Trust Acad Dept Radiol Sutton Surrey England;

Hirslanden Hosp St Anna Inst Radiol &

Nucl Med Clin Res Unit St Anna Str 32 CH-6006 Luzern;

Hirslanden Hosp St Anna Inst Radiol &

Nucl Med Clin Res Unit St Anna Str 32 CH-6006 Luzern;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
Prostate cancer bone metastases; Apparent diffusion coefficient; Treatment monitoring; Treatment response; Texture analysis;

机译：前列腺癌骨转移;表观扩散系数;治疗监测;治疗响应;纹理分析;

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1. Texture analysis of apparent diffusion coefficient maps for treatment response assessment in prostate cancer bone metastases-A pilot study [J] . Reischauer Carolin, Patzwahl Rene, Koh Dow-Mu, European Journal of Radiology . 2018,第期

机译：前列腺癌骨转移治疗响应评估表观扩散系数图的纹理分析 - 试验研究
2. Risk Stratification of Prostate Cancer Using the Combination of Histogram Analysis of Apparent Diffusion Coefficient Across Tumor Diffusion Volume and Clinical Information: A Pilot Study [J] . Zhang Zhao, Xu Huazhi, Xue Yingnan, Journal of magnetic resonance imaging: JMRI . 2019,第2期

机译：肿瘤扩散系数的直方图分析与肿瘤扩散体积和临床信息的组合风险分层：试验研究
3. Differentiating Transition Zone Cancers From Benign Prostatic Hyperplasia by Histogram Analysis of Apparent Diffusion Coefficient Maps With Standard and Ultrahigh b-value Diffusion-weighted MR Imaging [J] . Lu Zhi-hua, Ji Li-biao, Zhao Wen-lu, Journal of computer assisted tomography . 2019,第2期

机译：用标准和超高B值扩散加权MR成像的表观扩散系数图的直方图分析来区分从良性前列腺增生的过渡区癌症
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. A study of water mobility in human tissue in vivo: Apparent diffusion coefficients in brain and leg muscle. [D] . Gates, Lawrence L. 1997

机译：体内人体组织中水流动性的研究：脑和腿部肌肉中的表观扩散系数。
6. Prediction of Pathological Upgrading at Radical Prostatectomy in Prostate Cancer Eligible for Active Surveillance: A Texture Features and Machine Learning-Based Analysis of Apparent Diffusion Coefficient Maps [O] . Jinke Xie, Basen Li, Xiangde Min, 2020

机译：符合主动监测中的前列腺癌的自由基前列腺切除术病理升级的预测：表观扩散系数地图的纹理特征与基于机器学习分析
7. Assessment of treatment response by total tumor volume and global apparent diffusion coefficient using diffusion-weighted MRI in patients with metastatic bone disease: a feasibility study. [O] . Matthew D Blackledge, David J Collins, Nina Tunariu, 2014

机译：在转移性骨病患者中使用弥散加权mRI评估总肿瘤体积和全球表观弥散系数的治疗反应：可行性研究。

Texture analysis of apparent diffusion coefficient maps for treatment response assessment in prostate cancer bone metastases-A pilot study

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