Cargando…

Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular Carcinoma

OBJECTIVE: This study aimed to build and evaluate a radiomics feature-based model for the preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular carcinoma. METHODS: A total of 145 patients were retrospectively included in the study pool, and the patients were divided...

Descripción completa

Detalles Bibliográficos
Autores principales:	He, Mu, Zhang, Peng, Ma, Xiao, He, Baochun, Fang, Chihua, Jia, Fucang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674833/ https://www.ncbi.nlm.nih.gov/pubmed/33251138 http://dx.doi.org/10.3389/fonc.2020.574228

Ejemplares similares

A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy
por: Zhang, Wenyu, et al.
Publicado: (2018)

Comparison of liver volumetry on contrast‐enhanced CT images: one semiautomatic and two automatic approaches
por: Cai, Wei, et al.
Publicado: (2016)

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)

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Multi-Parametric MRI Radiomics
por: Zhang, Yang, et al.
Publicado: (2021)

Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA
por: Zhang, Shuai, et al.
Publicado: (2022)

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

The diagnostic performance of radiomics-based MRI in predicting microvascular invasion in hepatocellular carcinoma: A meta-analysis
por: Liang, Gao, et al.
Publicado: (2023)

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)

Importance of Microvascular Invasion Risk and Tumor Size on Recurrence and Survival of Hepatocellular Carcinoma After Anatomical Resection and Non-anatomical Resection
por: Hu, Haoyu, et al.
Publicado: (2021)

Preoperative Prediction of Microvascular Invasion of Hepatocellular Carcinoma: Radiomics Algorithm Based on Ultrasound Original Radio Frequency Signals
por: Dong, Yi, et al.
Publicado: (2019)

Preoperative Prediction of Microvascular Invasion in Patients With Hepatocellular Carcinoma Based on Radiomics Nomogram Using Contrast-Enhanced Ultrasound
por: Zhang, Di, et al.
Publicado: (2021)

Radiomics for the detection of microvascular invasion in hepatocellular carcinoma
por: Lv, Kun, et al.
Publicado: (2022)

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images
por: Dong, Yi, et al.
Publicado: (2020)

Multi-Region Radiomic Analysis Based on Multi-Sequence MRI Can Preoperatively Predict Microvascular Invasion in Hepatocellular Carcinoma
por: Gao, Lanmei, et al.
Publicado: (2022)

A Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma ≤ 5 cm
por: Qu, Chengming, et al.
Publicado: (2022)

A Multi-Parametric Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion Status in Intrahepatic Cholangiocarcinoma
por: Qian, Xianling, et al.
Publicado: (2022)

Prediction of Microvascular Invasion in Hepatocellular Carcinoma With a Multi-Disciplinary Team-Like Radiomics Fusion Model on Dynamic Contrast-Enhanced Computed Tomography
por: Zhang, Wanli, et al.
Publicado: (2021)

Prediction of microvascular invasion in solitary hepatocellular carcinoma ≤ 5 cm based on computed tomography radiomics
por: Liu, Peng, et al.
Publicado: (2021)

Computed Tomography Radiomics-Based Prediction of Microvascular Invasion in Hepatocellular Carcinoma
por: Yao, Wenjun, et al.
Publicado: (2022)

A radiomics-based nomogram for preoperative T staging prediction of rectal cancer
por: Lin, Xue, et al.
Publicado: (2021)

A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma
por: Wang, Huanhuan, et al.
Publicado: (2021)

UMRFormer-net: a three-dimensional U-shaped pancreas segmentation method based on a double-layer bridged transformer network
por: Fang, Kun, et al.
Publicado: (2023)

A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets
por: He, Baochun, et al.
Publicado: (2021)

Revisiting Surgical Strategies for Hepatocellular Carcinoma With Microvascular Invasion
por: Zhang, Er-lei, et al.
Publicado: (2021)

Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma
por: Wu, Cuiyun, et al.
Publicado: (2022)

Radiomics Models for Predicting Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Radiomics Quality Score Assessment
por: Wang, Qiang, et al.
Publicado: (2021)

Serum STIP1, a Novel Indicator for Microvascular Invasion, Predicts Outcomes and Treatment Response in Hepatocellular Carcinoma
por: Ma, Xiao-Lu, et al.
Publicado: (2020)

Ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
por: Xiao, Qinyu, et al.
Publicado: (2023)

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

A Nomogram Based on Combining Clinical Features and Contrast Enhanced Ultrasound LI-RADS Improves Prediction of Microvascular Invasion in Hepatocellular Carcinoma
por: Zhou, Hang, et al.
Publicado: (2021)

CT radiomics for prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis
por: Zhou, Hai-ying, et al.
Publicado: (2023)

Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma
por: Chen, Yi-Di, et al.
Publicado: (2022)

A preoperative model based on gadobenate-enhanced MRI for predicting microvascular invasion in hepatocellular carcinomas (≤ 5 cm)
por: Zhang, Sisi, et al.
Publicado: (2022)

Prediction of Microvascular Invasion and Its M2 Classification in Hepatocellular Carcinoma Based on Nomogram Analyses
por: Chen, Shengsen, et al.
Publicado: (2022)

Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma
por: Zhang, Yafang, et al.
Publicado: (2022)

Corona enhancement combined with microvascular invasion for prognosis prediction of macrotrabecular-massive hepatocellular carcinoma subtype
por: Yang, Lili, et al.
Publicado: (2023)

A Novel Multimodal Radiomics Model for Predicting Prognosis of Resected Hepatocellular Carcinoma
por: He, Ying, et al.
Publicado: (2022)

Global research status and frontiers on microvascular invasion of hepatocellular carcinoma: A bibliometric and visualized analysis
por: He, Tao, et al.
Publicado: (2022)

Radiomics Analysis of Contrast-Enhanced CT for the Preoperative Prediction of Microvascular Invasion in Mass-Forming Intrahepatic Cholangiocarcinoma
por: Xiang, Fei, et al.
Publicado: (2021)

Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer
por: Li, Huanhuan, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_ld3pkcj58tq3medjoeafn66qrs