Cargando…

Morphometry-based radiomics for predicting therapeutic response in patients with gliomas following radiotherapy

INTRODUCTION: Gliomas are still considered as challenging in oncologic management despite the developments in treatment approaches. The complete elimination of a glioma might not be possible even after a treatment and assessment of therapeutic response is important to determine the future course of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sherminie, Lahanda Purage G., Jayatilake, Mohan L., Hewavithana, Badra, Weerakoon, Bimali S., Vijithananda, Sahan M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10470056/ https://www.ncbi.nlm.nih.gov/pubmed/37664038 http://dx.doi.org/10.3389/fonc.2023.1139902

Ejemplares similares

Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques
por: Vijithananda, Sahan M., et al.
Publicado: (2022)

Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques
por: Vijithananda, Sahan M., et al.
Publicado: (2023)

Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma
por: Gao, Ankang, et al.
Publicado: (2021)

Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas
por: Jie, Bai, et al.
Publicado: (2022)

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

Radiomics for Diagnosis and Radiotherapy of Nasopharyngeal Carcinoma
por: Zhang, Yu-mei, et al.
Publicado: (2022)

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

Radiomics and Machine Learning for Radiotherapy in Head and Neck Cancers
por: Giraud, Paul, et al.
Publicado: (2019)

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

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

Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas
por: Gao, Min, et al.
Publicado: (2020)

Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study
por: Wang, Yinyan, et al.
Publicado: (2020)

Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition
por: Kraus, Kim Melanie, et al.
Publicado: (2023)

Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma
por: Chen, Hongyu, 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)

Multiparametric MRI Radiomics for the Early Prediction of Response to Chemoradiotherapy in Patients With Postoperative Residual Gliomas: An Initial Study
por: Zhang, Zhaotao, et al.
Publicado: (2021)

Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics
por: Keek, Simon A., et al.
Publicado: (2022)

Radiomics-based nomogram as predictive model for prognosis of hepatocellular carcinoma with portal vein tumor thrombosis receiving radiotherapy
por: Huang, Yu-Ming, et al.
Publicado: (2022)

Predicting the efficacy of radiotherapy for esophageal squamous cell carcinoma based on enhanced computed tomography radiomics and combined models
por: Liu, Jihui, et al.
Publicado: (2023)

A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging
por: Wang, Zhen-hua, et al.
Publicado: (2021)

Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images
por: Sun, Kai, et al.
Publicado: (2020)

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

Anxiety, depression, and stress among radiography undergraduates during the COVID-19 pandemic
por: Weerakoon, Bimali Sanjeevani, et al.
Publicado: (2023)

Utility of Radiomics for Predicting Patient Survival in Hepatocellular Carcinoma With Portal Vein Tumor Thrombosis Treated With Stereotactic Body Radiotherapy
por: Wu, Kui, et al.
Publicado: (2020)

A Clinical-Radiomics Nomogram Based on Computed Tomography for Predicting Risk of Local Recurrence After Radiotherapy in Nasopharyngeal Carcinoma
por: Zhu, Chaohua, et al.
Publicado: (2021)

Deep-learning and conventional radiomics to predict IDH genotyping status based on magnetic resonance imaging data in adult diffuse glioma
por: Zhang, Hongjian, et al.
Publicado: (2023)

A Non-invasive Radiomic Method Using (18)F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
por: Li, Longfei, et al.
Publicado: (2019)

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)

Combination of clinical, radiomic, and “delta” radiomic features in survival prediction of metastatic gastroesophageal adenocarcinoma
por: Krishna, Satheesh, et al.
Publicado: (2023)

Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma
por: Zhao, Ying, et al.
Publicado: (2021)

Sex-specific radiomic features of L-[S-methyl-(11)C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictability
por: Papp, Laszlo, et al.
Publicado: (2023)

Model incorporating multiple diffusion MRI features: development and validation of a radiomics-based model to predict adult-type diffuse gliomas grade
por: Wang, Peng, et al.
Publicado: (2023)

Identifying radiomics signatures in body composition imaging for the prediction of outcome following pancreatic cancer resection
por: van der Kroft, Gregory, et al.
Publicado: (2023)

Exploring MRI Characteristics of Brain Diffuse Midline Gliomas With the H3 K27M Mutation Using Radiomics
por: Li, Qian, et al.
Publicado: (2021)

Utility of Nuclear Morphometry in Predicting Grades of Diffusely Infiltrating Gliomas
por: Boruah, Dibyajyoti, et al.
Publicado: (2013)

The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up
por: El Ayachy, Radouane, et al.
Publicado: (2021)

Radiomics Analysis of Fat-Saturated T2-Weighted MRI Sequences for the Prediction of Prognosis in Soft Tissue Sarcoma of the Extremities and Trunk Treated With Neoadjuvant Radiotherapy
por: Chen, Silin, et al.
Publicado: (2021)

Predicting Chemo-Radiotherapy Sensitivity With Concordant Survival Benefit in Non-Small Cell Lung Cancer via Computed Tomography Derived Radiomic Features
por: Liu, Yixin, et al.
Publicado: (2022)

Radiomics Features Predict Telomerase Reverse Transcriptase Promoter Mutations in World Health Organization Grade II Gliomas via a Machine-Learning Approach
por: Fang, Shengyu, et al.
Publicado: (2021)

Initial PCV Chemotherapy Followed by Radiotherapy Is Associated With a Prolonged Response But Late Neurotoxicity in 20 Diffuse Low-Grade Glioma Patients
por: Blonski, Marie, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_600n6n7e9hgqvt40knvitl55rh