Cargando…

Application of Enhanced T1WI of MRI Radiomics in Glioma Grading

OBJECTIVE: To explore the application value of the radiomics method based on enhanced T1WI in glioma grading. MATERIALS AND METHODS: A retrospective analysis was performed using data of 114 patients with glioma, which was confirmed using surgery and pathological tests, at our hospital between Januar...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhou, Hongzhang, Xu, Rong, Mei, Haitao, Zhang, Ling, Yu, Qiyun, Liu, Rong, Fan, Bing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159237/ https://www.ncbi.nlm.nih.gov/pubmed/35685548 http://dx.doi.org/10.1155/2022/3252574

Ejemplares similares

The Application Value of MRI T2(∗)WI Radiomics Nomogram in Discriminating Hepatocellular Carcinoma from Intrahepatic Cholangiocarcinoma
por: Huang, Feng, et al.
Publicado: (2022)

Diagnostic value of MRI radiomics in differentiating high‑grade glioma from low‑grade glioma: A meta‑analysis
por: Wang, Jiefang, et al.
Publicado: (2023)

Multiparametric MRI radiomics for the differentiation of brain glial cell hyperplasia from low-grade glioma
por: Gu, Siqian, et al.
Publicado: (2023)

Multimodal MRI-Based Radiomic Nomogram for the Early Differentiation of Recurrence and Pseudoprogression of High-Grade Glioma
por: Jing, Hui, et al.
Publicado: (2022)

Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences
por: Qin, Jiang-bo, et al.
Publicado: (2017)

Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine
por: Fathi Kazerooni, Anahita, et al.
Publicado: (2021)

Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma
por: Sun, Chen, et al.
Publicado: (2022)

Classification of the glioma grading using radiomics analysis
por: Cho, Hwan-ho, et al.
Publicado: (2018)

Observing deep radiomics for the classification of glioma grades
por: Kobayashi, Kazuma, et al.
Publicado: (2021)

Noninvasive Prediction of TERT Promoter Mutations in High-Grade Glioma by Radiomics Analysis Based on Multiparameter MRI
por: Tian, Hongan, et al.
Publicado: (2020)

Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors
por: Park, Yae Won, et al.
Publicado: (2019)

IDH mutation-specific radiomic signature in lower-grade gliomas
por: Liu, Xing, et al.
Publicado: (2019)

Computer-Aided Grading of Gliomas Combining Automatic Segmentation and Radiomics
por: Chen, Wei, et al.
Publicado: (2018)

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status
por: Sudre, Carole H., et al.
Publicado: (2020)

MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift
por: Habib, Ahmed, et al.
Publicado: (2021)

The Value of Enhanced MR Radiomics in Estimating the IDH1 Genotype in High-Grade Gliomas
por: Niu, Lei, et al.
Publicado: (2020)

Application of radiomics feature captured from MRI for prediction of recurrence for glioma patients
por: Liu, Canyu, et al.
Publicado: (2022)

The combination of radiomics features and VASARI standard to predict glioma grade
por: You, Wei, et al.
Publicado: (2023)

Facing Contrast-Enhancing Gliomas: Perfusion MRI in Grade III and Grade IV Gliomas according to Tumor Area
por: Di Stefano, Anna Luisa, et al.
Publicado: (2014)

An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas
por: Li, Guanzhang, et al.
Publicado: (2022)

Preoperative prediction of tumor budding in rectal cancer using multiple machine learning algorithms based on MRI T2WI radiomics
por: Qu, Xueting, et al.
Publicado: (2023)

Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model
por: Du, Peng, et al.
Publicado: (2023)

Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors
por: Chu, Hairui, et al.
Publicado: (2021)

Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma
por: Zhang, Luyuan, et al.
Publicado: (2020)

Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction
por: Qian, Zenghui, et al.
Publicado: (2018)

Construction of a prognostic immune signature for lower grade glioma that can be recognized by MRI radiomics features to predict survival in LGG patients
por: Li, Zi-zhuo, et al.
Publicado: (2021)

Preoperative Radiomics Analysis of 1p/19q Status in WHO Grade II Gliomas
por: Fan, Ziwen, et al.
Publicado: (2021)

Radiomics Profiling Identifies the Incremental Value of MRI Features beyond Key Molecular Biomarkers for the Risk Stratification of High-Grade Gliomas
por: Yang, Guoqiang, et al.
Publicado: (2022)

Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer
por: Deng, Zhikang, et al.
Publicado: (2023)

Development and validation of a high-resolution T2WI-based radiomic signature for the diagnosis of lymph node status within the mesorectum in rectal cancer
por: Song, Gesheng, et al.
Publicado: (2022)

An automated approach for predicting glioma grade and survival of LGG patients using CNN and radiomics
por: Xu, Chenan, et al.
Publicado: (2022)

Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas
por: Liu, Zhenyu, et al.
Publicado: (2018)

The Application of Radiomics in Breast MRI: A Review
por: Ye, Dong-Man, et al.
Publicado: (2020)

Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in Gliomas
por: Manikis, Georgios C., et al.
Publicado: (2021)

MRI radiomics and potential applications to glioblastoma
por: Hooper, Grayson W., et al.
Publicado: (2023)

Multiparametric MRI Features Predict the SYP Gene Expression in Low-Grade Glioma Patients: A Machine Learning-Based Radiomics Analysis
por: Xiao, Zheng, et al.
Publicado: (2021)

Tumor grading of soft tissue sarcomas using MRI-based radiomics
por: Peeken, Jan C., et al.
Publicado: (2019)

Dual-Level Augmentation Radiomics Analysis for Multisequence MRI Meningioma Grading
por: Cai, Zongyou, et al.
Publicado: (2023)

Research on application of radiomics in glioma: a bibliometric and visual analysis
por: Chen, Chunbao, et al.
Publicado: (2023)

Radiomics analysis of T1WI and T2WI magnetic resonance images to differentiate between IgG4-related ophthalmic disease and orbital MALT lymphoma
por: Shao, Yuchao, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_kflcl3iqrh4rlpv53uig19dp8h