Cargando…

Characterizing Brain Tumor Regions Using Texture Analysis in Magnetic Resonance Imaging

PURPOSE: To extract texture features from magnetic resonance imaging (MRI) scans of patients with brain tumors and use them to train a classification model for supporting an early diagnosis. METHODS: Two groups of regions (control and tumor) were selected from MRI scans of 40 patients with meningiom...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yu, Yun, Wu, Xi, Chen, Jiu, Cheng, Gong, Zhang, Xin, Wan, Cheng, Hu, Jie, Miao, Shumei, Yin, Yuechuchu, Wang, Zhongmin, Shan, Tao, Jing, Shenqi, Wang, Wenming, Guo, Jianjun, Hu, Xinhua, Liu, Yun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209330/ https://www.ncbi.nlm.nih.gov/pubmed/34149343 http://dx.doi.org/10.3389/fnins.2021.634926

Ejemplares similares

Analysis of treatment pathways for three chronic diseases using OMOP CDM
por: Zhang, Xin, et al.
Publicado: (2018)

A predictive model for respiratory distress in patients with COVID-19: a retrospective study
por: Zhang, Xin, et al.
Publicado: (2020)

The Analysis of the Disease Spectrum in China
por: Zhang, Xin, et al.
Publicado: (2014)

Magnetic Resonance Texture Analysis in Myocardial Infarction
por: Peng, Fei, et al.
Publicado: (2021)

Association between type 2 diabetes and cancer incidence in China: data in hospitalized patients from 2006 to 2013
por: Lu, Shan, et al.
Publicado: (2020)

Texture analysis methodologies for magnetic resonance imaging
por: Materka, Andrzej
Publicado: (2004)

Problems in texture analysis with magnetic resonance imaging
por: Schad, Lothar R.
Publicado: (2004)

Texture analysis of early cerebral tissue damage in magnetic resonance imaging of patients with lung cancer
por: Xu, Jiying, et al.
Publicado: (2020)

Texture analysis of orbital magnetic resonance imaging for monitoring and predicting treatment response to glucocorticoids in patients with thyroid-associated ophthalmopathy
por: Wang, Yue-Yue, et al.
Publicado: (2021)

Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer
por: Oh, Ji Eun, et al.
Publicado: (2020)

Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance
por: Guo, Chuan-gen, et al.
Publicado: (2019)

Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach
por: Shao, Xiao-Ning, et al.
Publicado: (2018)

Effect of slice thickness on brain magnetic resonance image texture analysis
por: Savio, Sami J, et al.
Publicado: (2010)

Application of Texture Analysis in Diagnosis of Multiple Sclerosis by Magnetic Resonance Imaging
por: Ardakani, Ali Abbasian, et al.
Publicado: (2015)

Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study
por: Do, Quyen N., et al.
Publicado: (2019)

In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis
por: Colgan, Niall, et al.
Publicado: (2017)

Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts
por: Zeng, Yanqiu, et al.
Publicado: (2020)

Effect of Matrix Size Reduction on Textural Information in Clinical Magnetic Resonance Imaging
por: Strzelecki, Michał, et al.
Publicado: (2022)

Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst
por: Gomes, João Pedro Perez, et al.
Publicado: (2022)

The Utility of Texture Analysis Based on Breast Magnetic Resonance Imaging in Differentiating Phyllodes Tumors From Fibroadenomas
por: Mai, Hui, et al.
Publicado: (2019)

Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2 diabetes
por: Miao, Shumei, et al.
Publicado: (2019)

Prognostic Value of Late Enhanced Cardiac Magnetic Resonance Imaging Derived Texture Features in Dilated Cardiomyopathy Patients With Severely Reduced Ejection Fractions
por: Shu, Shenglei, et al.
Publicado: (2021)

Texture analysis of T2-weighted cardiovascular magnetic resonance imaging to discriminate between cardiac amyloidosis and hypertrophic cardiomyopathy
por: Huang, Shan, et al.
Publicado: (2022)

Identifying lesions in paediatric epilepsy using morphometric and textural analysis of magnetic resonance images
por: Kulaseharan, Sancgeetha, et al.
Publicado: (2019)

Tumor grade in soft-tissue sarcoma: Prediction with magnetic resonance imaging texture analysis
por: Hong, Ji Hyun, et al.
Publicado: (2020)

Differentiation of Endometriomas from Ovarian Hemorrhagic Cysts at Magnetic Resonance: The Role of Texture Analysis
por: Lupean, Roxana-Adelina, et al.
Publicado: (2020)

Sentinel lymph node detection using magnetic resonance lymphography with conventional gadolinium contrast agent in breast cancer: a preliminary clinical study
por: Li, Chuanming, et al.
Publicado: (2015)

Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images
por: Ortiz-Ramón, Rafael, et al.
Publicado: (2019)

Quantifying Tumor Heterogeneity from Multiparametric Magnetic Resonance Imaging of Prostate Using Texture Analysis
por: Alanezi, Saleh T., et al.
Publicado: (2022)

Whole-Tumor Histogram and Texture Imaging Features on Magnetic Resonance Imaging Combined With Epstein-Barr Virus Status to Predict Disease Progression in Patients With Nasopharyngeal Carcinoma
por: Li, Qiao, 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)

Modulation of skyrmionic magnetic textures in two-dimensional vdW materials and their heterostructures
por: Yao, Xiaoyan, et al.
Publicado: (2023)

Differential Diagnosis of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Three-Dimensional Magnetic Resonance Imaging Texture Feature Model
por: Dong, Junyi, et al.
Publicado: (2020)

Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
por: Maciel, Jamilly Gomes, et al.
Publicado: (2020)

Inflammatory lesions and brain tumors: is it possible to differentiate them based on texture features in magnetic resonance imaging?
por: Alves, Allan Felipe Fattori, et al.
Publicado: (2020)

Predictive value of magnetic resonance imaging-based texture analysis for hemorrhage transformation in large cerebral infarction
por: Zhai, Heng, et al.
Publicado: (2022)

Efficacy of texture analysis of pre-operative magnetic resonance imaging in predicting microvascular invasion in hepatocellular carcinoma
por: Sim, Jordan Zheng Ting, et al.
Publicado: (2022)

Probing of three-dimensional spin textures in multilayers by field dependent X-ray resonant magnetic scattering
por: Burgos-Parra, Erick, et al.
Publicado: (2023)

Texture analysis of multiparametric magnetic resonance imaging for differentiating clinically significant prostate cancer in the peripheral zone
por: ÖZER, Halil, et al.
Publicado: (2023)

Functional changes of the lateral pterygoid muscle in patients with temporomandibular disorders: a pilot magnetic resonance images texture study
por: Liu, Meng-Qi, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_bi2fif1ul06etfks4bkleeqrml