IVIM using convolutional neural networks predicts microvascular invasion in HCC

B Liu, Q Zeng, J Huang, J Zhang, Z Zheng, Y Liao… - European …, 2022 - Springer
Objectives The study aimed to investigate the diagnostic performance of intravoxel
incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging for prediction of …

IVIM improves preoperative assessment of microvascular invasion in HCC

Y Wei, Z Huang, H Tang, L Deng, Y Yuan, J Li, D Wu… - European …, 2019 - Springer
Purpose To prospectively evaluate the potential role of intravoxel incoherent motion (IVIM)
and conventional radiologic features for preoperative prediction of microvascular invasion …

An attention-based deep learning model for predicting microvascular invasion of hepatocellular carcinoma using an intra-voxel incoherent motion model of diffusion …

Q Zeng, B Liu, Y Xu, W Zhou - Physics in Medicine & Biology, 2021 - iopscience.iop.org
The intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging
(IVIM-DWI) with a series of images with different b-values has great potential as a tool for …

Nomogram for predicting microvascular invasion in hepatocellular carcinoma using gadoxetic acid-enhanced MRI and intravoxel incoherent motion imaging

L Zhou, Y Qu, G Quan, H Zuo, M Liu - Academic Radiology, 2024 - Elsevier
Rationale and Objectives Microvascular invasion (MVI) is an important risk factor in
hepatocellular carcinoma (HCC), but it can only be determined through histopathological …

The Feasibility of Using Tri-Exponential Intra-Voxel Incoherent Motion DWI for Identifying the Microvascular Invasion in Hepatocellular Carcinoma

Y Zhang, R Sheng, C Yang, Y Dai… - Journal of Hepatocellular …, 2023 - Taylor & Francis
Purpose To assess the effectiveness of tri-exponential Intra-Voxel Incoherent Motion (tri-
IVIM) MRI in preoperatively identifying microvascular invasion (MVI) in hepatocellular …

Deep convolutional neural network for preoperative prediction of microvascular invasion and clinical outcomes in patients with HCCs

X Li, Z Qi, H Du, Z Geng, Z Li, S Qin, X Zhang… - European …, 2022 - Springer
Objectives We aimed to develop and validate a deep convolutional neural network (DCNN)
model for preoperative prediction of microvascular invasion (MVI) in hepatocellular …

An unsupervised deep learning approach for dynamic‐exponential Intravoxel incoherent motion MRI modeling and parameter estimation in the liver

XX Zhou, XY Wang, EH Liu, L Zhang… - Journal of Magnetic …, 2022 - Wiley Online Library
Background Dynamic‐exponential intravoxel incoherent motion (IVIM) imaging is a potential
technique for prediction, monitoring, and differential diagnosis of hepatic diseases …

[HTML][HTML] Intravoxel incoherent motion: application in differentiation of hepatocellular carcinoma and focal nodular hyperplasia

M Luo, L Zhang, XH Jiang… - Diagnostic and …, 2017 - ncbi.nlm.nih.gov
PURPOSE We aimed to explore whether intravoxel incoherent motion (IVIM)-related
parameters of hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) …

Prediction of microvascular invasion of hepatocellular carcinoma based on preoperative diffusion-weighted MR using deep learning

G Wang, W Jian, X Cen, L Zhang, H Guo, Z Liu… - Academic radiology, 2021 - Elsevier
Rationale and Objectives To investigate the value of diffusion-weighted magnetic resonance
imaging for the prediction of microvascular invasion (MVI) of Hepatocellular Carcinoma …

Role of intravoxel incoherent motion in discriminating hepatitis B virus-related intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma based on …

S Shao, Q Shan, N Zheng, B Wang… - Cancer biotherapy & …, 2019 - liebertpub.com
Backgroud: Intravoxel incoherent motion (IVIM) could be used to characterize benign and
malignant hepatic lesions and predict the histological grade of hepatocellular carcinoma …