Cargando…

Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma

OBJECTIVE: Osteosarcoma often requires multidisciplinary treatment including surgery, chemotherapy and radiotherapy. However, tumor behavior can vary widely among patients and selection of appropriate therapies in any individual patient remains a critical challenge. Radiomics seeks to quantify compl...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Shuliang, Su, Yi, Duan, Jinghao, Qiu, Qingtao, Ge, Xingping, Wang, Aijie, Yin, Yong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812010/ https://www.ncbi.nlm.nih.gov/pubmed/31667064 http://dx.doi.org/10.1016/j.jbo.2019.100263

Ejemplares similares

Variability of radiomic features extracted from multi-b-value diffusion-weighted images in hepatocellular carcinoma
por: Zhang, Jing, et al.
Publicado: (2019)

Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging
por: Sha, Xue, et al.
Publicado: (2020)

Identifying pathological subtypes of non-small-cell lung cancer by using the radiomic features of (18)F-fluorodeoxyglucose positron emission computed tomography
por: Sha, Xue, et al.
Publicado: (2019)

Implementation of diffusion-weighted magnetic resonance imaging in target delineation of central lung cancer accompanied with atelectasis in precision radiotherapy
por: Zhang, Xinli, et al.
Publicado: (2017)

Reproducibility for Hepatocellular Carcinoma CT Radiomic Features: Influence of Delineation Variability Based on 3D-CT, 4D-CT and Multiple-Parameter MR Images
por: Duan, Jinghao, et al.
Publicado: (2022)

Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery
por: Qiu, Qingtao, et al.
Publicado: (2020)

Radiomics Nomogram Based on Multiple-Sequence Magnetic Resonance Imaging Predicts Long-Term Survival in Patients Diagnosed With Nasopharyngeal Carcinoma
por: Liu, Kai, et al.
Publicado: (2022)

A radiomic signature based on magnetic resonance imaging to determine adrenal Cushing’s syndrome
por: Piskin, Ferhat Can, et al.
Publicado: (2023)

Comparison of Magnetic Resonance Elastography and Diffusion-weighted Imaging for Staging Hepatic Fibrosis
por: Zou, Li-Qiu, et al.
Publicado: (2015)

Coronal Diffusion-weighted Magnetic Resonance Imaging of the Kidney: Agreement with Axial Diffusion-weighted Magnetic Imaging in Terms of Apparent Diffusion Coefficient Values
por: Wang, Hai-Yi, et al.
Publicado: (2015)

Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes
por: Leithner, Doris, et al.
Publicado: (2019)

Diffusion-weighted magnetic resonance imaging in neck lymph adenopathy
por: Vandecaveye, Vincent, et al.
Publicado: (2008)

Diffusion-weighted magnetic resonance imaging and its application to cancer
por: Charles-Edwards, Elizabeth M, et al.
Publicado: (2006)

Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy
por: Leibfarth, Sara, et al.
Publicado: (2018)

Value of diffusion-weighted magnetic resonance imaging in the diagnosis of pyomyoma
por: Peris, Helena, et al.
Publicado: (2021)

Diffusion-Weighted Magnetic Resonance Imaging: Clinical Potential and Applications
por: Caroli, Anna
Publicado: (2022)

Exploring the Utility of Cardiovascular Magnetic Resonance Radiomic Feature Extraction for Evaluation of Cardiac Sarcoidosis
por: Mushari, Nouf A., et al.
Publicado: (2023)

Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical–Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images
por: Zhang, Wei, et al.
Publicado: (2022)

Magnetic resonance radiomics signatures for predicting poorly differentiated hepatocellular carcinoma: A SQUIRE-compliant study
por: Yang, Xiaozhen, et al.
Publicado: (2021)

Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer
por: Zheng, Zongtai, et al.
Publicado: (2021)

Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging
por: Roy, Sudipta, et al.
Publicado: (2020)

An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics
por: Zhong, Jingyu, et al.
Publicado: (2022)

Decoupled dynamic magnetic field measurements improves diffusion-weighted magnetic resonance images
por: Chu, Ying-Hua, et al.
Publicado: (2017)

Diffusion-weighted Magnetic Resonance Imaging in the Early Diagnosis of Neonatal Adrenoleukodystrophy
por: Sener, R Nuri, et al.
Publicado: (2011)

Uremic Encephalopathy with Atypical Magnetic Resonance Features on Diffusion-Weighted Images
por: Kang, Eugene, et al.
Publicado: (2012)

Giant pilomatrixoma: conventional and diffusion-weighted magnetic resonance imaging findings
por: Ribeiro, Bruno Niemeyer de Freitas, et al.
Publicado: (2015)

Assessment of Activity of Crohn Disease by Diffusion-Weighted Magnetic Resonance Imaging
por: Li, Xue-hua, et al.
Publicado: (2015)

The diagnostic role of diffusion-weighted magnetic resonance imaging in hypopharyngeal carcinoma
por: Zhang, Si-Cong, et al.
Publicado: (2018)

Role of Diffusion-Weighted Magnetic Resonance Imaging for Characterization of Mediastinal Lymphadenopathy
por: Ramamoorthy, Eniyavel, et al.
Publicado: (2023)

Parkinson's Disease Diagnosis Using Neostriatum Radiomic Features Based on T2-Weighted Magnetic Resonance Imaging
por: Liu, Panshi, et al.
Publicado: (2020)

Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images
por: Dai, Yi, et al.
Publicado: (2020)

A Potential Prognostic Marker for Recognizing VEGF-Positive Hepatocellular Carcinoma Based on Magnetic Resonance Radiomics Signature
por: Fan, Tingting, et al.
Publicado: (2022)

Diffusion-weighted 7.0T Magnetic Resonance Imaging in Assessment of Intervertebral Disc Degeneration in Rats
por: Li, Long-Yang, et al.
Publicado: (2018)

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
por: Zhang, Xingping, et al.
Publicado: (2022)

Magnetic resonance imaging in the assessment of pancreatic cancer with quantitative parameter extraction by means of dynamic contrast-enhanced magnetic resonance imaging, diffusion kurtosis imaging and intravoxel incoherent motion diffusion-weighted imaging
por: Granata, Vincenza, et al.
Publicado: (2020)

Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI
por: Park, Ji Eun, et al.
Publicado: (2020)

Radiomics of dynamic contrast-enhanced magnetic resonance imaging parametric maps and apparent diffusion coefficient maps to predict Ki-67 status in breast cancer
por: Feng, Shuqian, et al.
Publicado: (2022)

Monitoring Response to Neoadjuvant Chemotherapy of Primary Osteosarcoma Using Diffusion Kurtosis Magnetic Resonance Imaging: Initial Findings
por: Liu, Chenglei, et al.
Publicado: (2019)

Giant Vertebral Notochordal Rest: Magnetic Resonance and Diffusion Weighted Imaging Findings
por: Oner, Ali Yusuf, et al.
Publicado: (2009)

Diffusion weighted magnetic resonance imaging in early moderate and severe head injury
por: Bradley, PB, et al.
Publicado: (2003)

Cannot write session to /tmp/vufind_sessions/sess_cartt9pi20cjpl9veesndqtvcd