Cargando…
Contrast‐enhanced CT radiomics for preoperative evaluation of microvascular invasion in hepatocellular carcinoma: A two‐center study
BACKGROUND: The present study constructed and validated the use of contrast‐enhanced computed tomography (CT)‐based radiomics to preoperatively predict microvascular invasion (MVI) status (positive vs negative) and risk (low vs high) in patients with hepatocellular carcinoma (HCC). METHODS: We enrol...
Autores principales: | Zhang, Xiuming, Ruan, Shijian, Xiao, Wenbo, Shao, Jiayuan, Tian, Wuwei, Liu, Weihai, Zhang, Zhao, Wan, Dalong, Huang, Jiacheng, Huang, Qiang, Yang, Yunjun, Yang, Hanjin, Ding, Yong, Liang, Wenjie, Bai, Xueli, Liang, Tingbo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403665/ https://www.ncbi.nlm.nih.gov/pubmed/32567245 http://dx.doi.org/10.1002/ctm2.111 |
Ejemplares similares
-
Differentiating Hepatic Epithelioid Angiomyolipoma From Hepatocellular Carcinoma and Focal Nodular Hyperplasia via Radiomics Models
por: Liang, Wenjie, et al.
Publicado: (2020) -
Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data
por: Ding, Yong, et al.
Publicado: (2021) -
Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
por: Liang, Wenjie, et al.
Publicado: (2022) -
Preoperative Prediction Power of Imaging Methods for Microvascular Invasion in Hepatocellular Carcinoma: A Systemic Review and Meta-Analysis
por: Huang, Jiacheng, et al.
Publicado: (2020) -
Deep Learning Radiomics to Predict Regional Lymph Node Staging for Hilar Cholangiocarcinoma
por: Wang, Yubizhuo, et al.
Publicado: (2021)