Radiomics Analysis of Susceptibility Weighted Imaging for Hepatocellular Carcinoma: Exploring the Correlation between Histopathology and Radiomics Features-Reference-Cited by-同舟云学术

Radiomics Analysis of Susceptibility Weighted Imaging for Hepatocellular Carcinoma: Exploring the Correlation between Histopathology and Radiomics Features

Published:2021 Issue:3 Volume:20 Page:253-263
ISSN:1347-3182
Container-title:Magnetic Resonance in Medical Sciences
language:en
Short-container-title:magn reson med sci

Author:

Geng Zhijun¹,Zhang Yunfei²,Wang Shutong³,Li Hui⁴,Zhang Cheng⁴,Yin Shaohan⁴,Xie Chuanmiao⁴,Dai Yongming²

Affiliation:

1. Department of Radiology, Sun Yat-sen University Cancer Center

2. Central Research Institute, United Imaging Healthcare

3. Department of Hepatic Surgery, First Affiliated Hospital of Sun Yat-sen University

4. State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center

Publisher

Japanese Society for Magnetic Resonance in Medicine

Subject

Radiology Nuclear Medicine and imaging

Link

https://www.jstage.jst.go.jp/article/mrms/20/3/20_mp.2020-0060/_pdf

Reference35 articles.

1. 1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68:394–424.

2. 2. Choi SY, Kim SH, Park CK, et al. Imaging features of gadoxetic acid-enhanced and diffusion-weighted MR imaging for identifying cytokeratin 19-positive hepatocellular carcinoma: a retrospective observational study. Radiology 2018; 286:897–908.

3. 3. Santos NP, Oliveira PA, Arantes-Rodrigues R, et al. Cytokeratin 7/19 expression in N-diethylnitrosamine-induced mouse hepatocellular lesions: implications for histogenesis. Int J Exp Pathol 2014; 95:191–198.

4. 4. Filmus J, Capurro M. Glypican-3: a marker and a therapeutic target in hepatocellular carcinoma. FEBS J 2013; 280:2471–2476.

5. 5. Wang WT, Yang L, Yang ZX, et al. Assessment of microvascular invasion of hepatocellular carcinoma with diffusion kurtosis imaging. Radiology 2018; 286:571–580.

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretable machine learning based on CT-derived extracellular volume fraction to predict pathological grading of hepatocellular carcinoma;Abdominal Radiology;2024-05-04

2. CT-based radiomics for predicting pathological grade in hepatocellular carcinoma;Frontiers in Oncology;2024-04-16

3. Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score;World Journal of Gastroenterology;2024-01-28

4. Diagnostic value of radiomics in predicting Ki-67 and cytokeratin 19 expression in hepatocellular carcinoma: a systematic review and meta-analysis;Frontiers in Oncology;2024-01-03

5. Preoperative prediction of cholangiocyte phenotype hepatocellular carcinoma on contrast-enhanced MRI and the prognostic implication after hepatectomy;Insights into Imaging;2023-11-14