Cargando…

A Potential Prognostic Marker for Recognizing VEGF-Positive Hepatocellular Carcinoma Based on Magnetic Resonance Radiomics Signature

OBJECTIVES: The objective of our project is to explore a noninvasive radiomics model based on magnetic resonance imaging (MRI) that could recognize the expression of vascular endothelial growth factor (VEGF) in hepatocellular carcinoma before operation. METHODS: 202 patients with proven single HCC w...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fan, Tingting, Li, Shijie, Li, Kai, Xu, Jingxu, Zhao, Sheng, Li, Jinping, Zhou, Xinglu, Jiang, Huijie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013965/ https://www.ncbi.nlm.nih.gov/pubmed/35444942 http://dx.doi.org/10.3389/fonc.2022.857715

Ejemplares similares

Spleen Radiomics Signature: A Potential Biomarker for Prediction of Early and Late Recurrences of Hepatocellular Carcinoma After Resection
por: Li, Pinxiong, et al.
Publicado: (2021)

Multi-Sequence MR-Based Radiomics Signature for Predicting Early Recurrence in Solitary Hepatocellular Carcinoma ≤5 cm
por: Wang, Leyao, et al.
Publicado: (2022)

Preoperative Prediction of Microvascular Invasion Risk Grades in Hepatocellular Carcinoma Based on Tumor and Peritumor Dual-Region Radiomics Signatures
por: Hu, Fang, et al.
Publicado: (2022)

Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate Cancer
por: Li, Mou, et al.
Publicado: (2021)

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

Preoperative Magnetic Resonance Imaging Radiomics for Predicting Early Recurrence of Glioblastoma
por: Wang, Jing, et al.
Publicado: (2021)

A radiomics model based on preoperative gadoxetic acid–enhanced magnetic resonance imaging for predicting post-hepatectomy liver failure in patients with hepatocellular carcinoma
por: Li, Changfeng, et al.
Publicado: (2023)

Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models
por: Fu, Chunlong, et al.
Publicado: (2023)

A Prognostic Gene Signature for Hepatocellular Carcinoma
por: Chen, Rong, et al.
Publicado: (2022)

Radiomics Based on Multiparametric Magnetic Resonance Imaging to Predict Extraprostatic Extension of Prostate Cancer
por: Xu, Lili, et al.
Publicado: (2020)

A prognostic signature of cuproptosis and TCA-related genes for hepatocellular carcinoma
por: Zhang, Qi, et al.
Publicado: (2022)

Identification and Validation of a Prognostic lncRNA Signature for Hepatocellular Carcinoma
por: Li, Wang, et al.
Publicado: (2020)

A Novel RNA Binding Protein-Related Prognostic Signature for Hepatocellular Carcinoma
por: Huang, Yongbiao, et al.
Publicado: (2020)

Radiomics features of computed tomography and magnetic resonance imaging for predicting response to transarterial chemoembolization in hepatocellular carcinoma: a meta-analysis
por: Feng, Lijuan, et al.
Publicado: (2023)

A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions
por: Liang, Lei, et al.
Publicado: (2021)

Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma
por: Zhang, Baihua, et al.
Publicado: (2021)

Autophagy-Related Signatures as Prognostic Indicators for Hepatocellular Carcinoma
por: Ye, Wen, et al.
Publicado: (2022)

Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction
por: Hao, Degan, et al.
Publicado: (2022)

Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography
por: Guo, Fei, et al.
Publicado: (2022)

Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting β-catenin mutation in patients with hepatocellular carcinoma: A retrospective study
por: Zeng, Fengxia, et al.
Publicado: (2022)

Radiomics nomogram based on multi-parametric magnetic resonance imaging for predicting early recurrence in small hepatocellular carcinoma after radiofrequency ablation
por: Zhang, Xiaojuan, et al.
Publicado: (2022)

Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics
por: Chen, Wujie, et al.
Publicado: (2019)

Radiomic Signatures for Predicting EGFR Mutation Status in Lung Cancer Brain Metastases
por: Zheng, Lie, et al.
Publicado: (2022)

A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas
por: Bi, Lei, et al.
Publicado: (2021)

Prognostic Implications of Novel Ten-Gene Signature in Uveal Melanoma
por: Luo, Huan, et al.
Publicado: (2020)

Radiomic Signatures for Predicting Receptor Status in Breast Cancer Brain Metastases
por: Luo, Xiao, et al.
Publicado: (2022)

Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma
por: Chen, Hongyu, et al.
Publicado: (2021)

Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
por: Qian, Zenghui, et al.
Publicado: (2021)

Identification of CDCA2 as a Diagnostic and Prognostic Marker for Hepatocellular Carcinoma
por: Yu, Zhenjun, et al.
Publicado: (2021)

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion
por: Yang, Ling, et al.
Publicado: (2022)

Novel Prognostic Signatures of Hepatocellular Carcinoma Based on Metabolic Pathway Phenotypes
por: Ye, Tingbo, et al.
Publicado: (2022)

Establishment and validation of a ferroptosis-related prognostic signature for hepatocellular carcinoma
por: He, Yixian, et al.
Publicado: (2023)

Radiomics for the Preoperative Evaluation of Microvascular Invasion in Hepatocellular Carcinoma: A Meta-Analysis
por: Li, Liujun, et al.
Publicado: (2022)

Dynamic contrast-enhanced magnetic resonance imaging-based radiomics for the prediction of progression-free survival in advanced nasopharyngeal carcinoma
por: Li, Wen-zhu, et al.
Publicado: (2022)

Corrigendum: Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
por: Qian, Zenghui, et al.
Publicado: (2021)

Non-enhanced magnetic resonance imaging-based radiomics model for the differentiation of pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma
por: Li, Qi, et al.
Publicado: (2023)

MAPK10 Expression as a Prognostic Marker of the Immunosuppressive Tumor Microenvironment in Human Hepatocellular Carcinoma
por: Li, Huahui, et al.
Publicado: (2021)

The Impact of Preoperative Radiomics Signature on the Survival of Breast Cancer Patients With Residual Tumors After NAC
por: Zhang, Ling, et al.
Publicado: (2021)

Radiomics Signature on Computed Tomography Imaging: Association With Lymph Node Metastasis in Patients With Gastric Cancer
por: Jiang, Yuming, et al.
Publicado: (2019)

Development of a Novel Autophagy-Related Prognostic Signature and Nomogram for Hepatocellular Carcinoma
por: Fang, Qiongxuan, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ge2de1qbt4cfp5797cvpkv1096