Cargando…

Variability of radiomic features extracted from multi-b-value diffusion-weighted images in hepatocellular carcinoma

BACKGROUND: Reliable and meaningful radiomic features is extremely crucial to characterize tumor phenotypes. This study was designed to experimentally evaluate the variability of radiomic features extracted from different b-values diffusion-weighted images (DWIs) in hepatocellular carcinoma (HCC). M...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Jing, Qiu, Qingtao, Duan, Jinghao, Gong, Guanzhong, Jiang, Qingjun, Sun, Gang, Yin, Yong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2019
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798719/ https://www.ncbi.nlm.nih.gov/pubmed/35116742 http://dx.doi.org/10.21037/tcr.2019.01.14

Ejemplares similares

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)

Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma
por: Zhao, Shuliang, et al.
Publicado: (2019)

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)

Application of CT radiomics features to predict the EGFR mutation status and therapeutic sensitivity to TKIs of advanced lung adenocarcinoma
por: Yang, Chunsheng, et al.
Publicado: (2020)

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)

Radiomics Analysis of Susceptibility Weighted Imaging for Hepatocellular Carcinoma: Exploring the Correlation between Histopathology and Radiomics Features
por: Geng, Zhijun, et al.
Publicado: (2020)

Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy
por: Wormald, Benjamin W., et al.
Publicado: (2020)

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)

Quantitative study of the changes in brain white matter before and after radiotherapy by applying multi-sequence MR radiomics
por: Chen, Mingming, et al.
Publicado: (2022)

The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis
por: Gu, Jiabing, et al.
Publicado: (2018)

Radiomic Features of Multi-ROI and Multi-Phase MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma
por: Yang, Yan, et al.
Publicado: (2021)

Radiomics Nomogram Based on High-b-Value Diffusion-Weighted Imaging for Distinguishing the Grade of Bladder Cancer
por: Feng, Cui, et al.
Publicado: (2022)

Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform
por: Fornacon-Wood, Isabella, et al.
Publicado: (2020)

Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance
por: Gitto, Salvatore, et al.
Publicado: (2022)

Quantification of Myocardial Dosimetry and Glucose Metabolism Using a 17-Segment Model of the Left Ventricle in Esophageal Cancer Patients Receiving Radiotherapy
por: Sha, Xue, et al.
Publicado: (2020)

The differential value of radiomics based on traditional T1-weighted sequences in newborns with hyperbilirubinemia
por: Sun, Yan, et al.
Publicado: (2023)

The Prognostic Value of Radiomics Features Extracted From Computed Tomography in Patients With Localized Clear Cell Renal Cell Carcinoma After Nephrectomy
por: Tang, Xin, et al.
Publicado: (2021)

Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial
por: Peerlings, Jurgen, et al.
Publicado: (2019)

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

The Value of CT Perfusion Parameters and Apparent Diffusion Coefficient Value of Magnetic Resonance Diffusion Weighted Imaging in Diagnosis of Hepatocellular Carcinoma
por: Li, Kezhen, et al.
Publicado: (2022)

Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy
por: Thrussell, Imogen, et al.
Publicado: (2022)

Impact of contouring variability on oncological PET radiomics features in the lung
por: Yang, F., et al.
Publicado: (2020)

Progress of MRI Radiomics in Hepatocellular Carcinoma
por: Gong, Xue-Qin, et al.
Publicado: (2021)

Diffusion-Weighted Imaging as a Quantitative Imaging Biomarker for Predicting Proliferation Rate in Hepatocellular Carcinoma: Developing a Radiomics Nomogram
por: Yan, Chuan, et al.
Publicado: (2023)

Prognostic Value of Baseline Radiomic Features of (18)F-FDG PET in Patients with Diffuse Large B-Cell Lymphoma
por: Lue, Kun-Han, et al.
Publicado: (2020)

Multi-View Radiomics Feature Fusion Reveals Distinct Immuno-Oncological Characteristics and Clinical Prognoses in Hepatocellular Carcinoma
por: Gu, Yu, et al.
Publicado: (2023)

A downsampling strategy to assess the predictive value of radiomic features
por: Dirand, Anne-Sophie, et al.
Publicado: (2019)

Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
por: Bao, Dan, et al.
Publicado: (2021)

Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
por: Wang, Si-Yuan, et al.
Publicado: (2023)

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer
por: Yue, Wei, et al.
Publicado: (2019)

Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images
por: Bologna, Marco, et al.
Publicado: (2018)

Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI
por: Khanfari, Hasan, et al.
Publicado: (2023)

Potential predictive value of CT radiomics features for treatment response in patients with COVID‐19
por: Huang, Gang, et al.
Publicado: (2023)

Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI
por: Ni, Ming, et al.
Publicado: (2020)

Predictive values of diffusion-weighted imaging and perfusion-weighted imaging in evaluating the efficacy of transcatheter arterial chemoembolization for hepatocellular carcinoma
por: Lin, Min, et al.
Publicado: (2016)

Diffusion-weighted imaging-based radiomics in epithelial ovarian tumors: Assessment of histologic subtype
por: Xu, Yi, et al.
Publicado: (2022)

Diffusion-weighted imaging-based radiomics for predicting 1-year ischemic stroke recurrence
por: Wang, Hao, et al.
Publicado: (2022)

Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma
por: Khalvati, Farzad, et al.
Publicado: (2019)

Development and verification of radiomics framework for computed tomography image segmentation
por: Gu, Jiabing, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_s4e5bot3r7vik3iehu6ffjirst