Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study

Wang Qiuyu; Li Qingneng; Mi Rui; Ye Hai; Zhang Heye; Chen Baodong; Li Ye; Huang Guodong; Xia Jun

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Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study

机译：来自Multiparametric MRI的辐射瘤NOMAROM建设预测胶质瘤患者的成绩：队列研究

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BackgroundAccurate classification of gliomas is crucial for prescribing therapy and assessing the prognosis of patients.

机译：背景，Gliomas的分类对于处方治疗和评估患者预后至关重要。

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来源
《Journal of magnetic resonance imaging: JMRI》 |2019年第3期|共9页
作者
Wang Qiuyu; Li Qingneng; Mi Rui; Ye Hai; Zhang Heye; Chen Baodong; Li Ye; Huang Guodong; Xia Jun;
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作者单位

Anhui Med Univ Shenzhen Peoples Hosp 2 Shenzhen Hosp 2 Dept Radiol Clin Med Coll Shenzhen;

Chinese Acad Sci Dept Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China;

Shenzhen Univ Hlth Sci Ctr Affiliated Hosp 1 Dept Radiol Shenzhen 518035 Peoples R China;

Anhui Med Univ Shenzhen Peoples Hosp 2 Shenzhen Hosp 2 Dept Radiol Clin Med Coll Shenzhen;

Sun Yat Sen Univ Sch Biomed Engn Dept Hlth Informat Comp Shenzhen Peoples R China;

Shenzhen Second Peoples Hosp Shenzhen 518035 Peoples R China;

Shenzhen Inst Adv Technol Dept Biomed &

Hlth Engn Shenzhen 518055 Peoples R China;

Shenzhen Second Peoples Hosp Shenzhen 518035 Peoples R China;

Shenzhen Univ Hlth Sci Ctr Affiliated Hosp 1 Dept Radiol Shenzhen 518035 Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类诊断学;
关键词
gliomas; classification; radiomics nomogram;

机译：Gliomas;分类;辐射瘤NOMAROM;

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1. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study [J] . Wang Qiuyu, Li Qingneng, Mi Rui, Journal of magnetic resonance imaging: JMRI . 2019,第3期

机译：来自Multiparametric MRI的辐射瘤NOMAROM建设预测胶质瘤患者的成绩：队列研究
2. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study [J] . Sijia Cui, Tianyu Tang, Qiuming Su, Cancer Imaging . 2021,第1期

机译：基于MRI的辐射瘤NOM图预测胰腺分支型外阴乳头状乳糖瘤的等级：多中心研究
3. Radiomics strategy for glioma grading using texture features from multiparametric MRI [J] . Tian Qiang, Yan Lin‐Feng, Zhang Xi, Journal of magnetic resonance imaging: JMRI . 2018,第6期

机译：使用Multiparametric MRI纹理特征的胶质瘤分级的辐射瘤策略
4. Multivariate discriminant analysis of multiparametric brain MRI to differentiate high grade and low grade gliomas — A computer-aided diagnosis development study [C] . Er Fusun Citak, Firat Zeynep, Kovanlikaya Ilhami, IEEE International Conference on Bioinformatics and Bioengineering . 2013

机译：多参数脑MRI的多因素判别分析，以区分高级别和低级别神经胶质瘤—计算机辅助诊断开发研究
5. A Multiparametric MRI for the Classification and Grading of Prostate Cancer [D] . Korn, Natalie. 2019

机译：用于前列腺癌的分类和分级的多次MRI
6. Multiparametric MRI Features Predict the SYP Gene Expression in Low-Grade Glioma Patients: A Machine Learning-Based Radiomics Analysis [O] . Zheng Xiao, Shun Yao, Zong-ming Wang, 2021

机译：Multiparametric MRI特征预测低级胶质瘤患者的SYP基因表达：基于机器的基于机器的辐射瘤分析
7. Multiparametric radiomics nomogram may be used for predicting the severity of esophageal varices in cirrhotic patients [O] . Shang Wan, Yi Wei, Xin Zhang, 2020

机译：MultiParametric adrimics Nom图可以用于预测肝硬化患者食管变化的严重程度

Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study

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