AIMC Topic: Gadolinium DTPA

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Deep learning-based image reconstruction for the multi-arterial phase images: improvement of the image quality to assess the small hypervascular hepatic tumor on gadoxetic acid-enhanced liver MRI.

Abdominal radiology (New York) Mar 21, 2024
PURPOSE: To evaluated the impact of a deep learning (DL)-based image reconstruction on multi-arterial-phase magnetic resonance imaging (MA-MRI) for small hypervascular hepatic masses in patients who underwent gadoxetic acid-enhanced liver MRI.
Liver Neoplasms Contrast Media Magnetic Resonance Imaging Liver Signal-To-Noise Ratio Gadolinium DTPA Adult Humans Image Interpretation, Computer-Assisted Male Retrospective Studies Image Enhancement Middle Aged Female Deep Learning Aged
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Enhancing gadoxetic acid-enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques.

European radiology Mar 16, 2024
OBJECTIVE: To investigate whether a deep learning (DL) controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE) technique can improve image quality, lesion conspicuity,...
Adult Male Middle Aged Deep Learning Retrospective Studies Female Aged Aged, 80 and over Image Interpretation, Computer-Assisted Artifacts Image Enhancement Breath Holding Gadolinium DTPA Liver Neoplasms Humans Contrast Media Magnetic Resonance Imaging Liver
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Application of a deep learning algorithm for three-dimensional T1-weighted gradient-echo imaging of gadoxetic acid-enhanced MRI in patients at a high risk of hepatocellular carcinoma.

Abdominal radiology (New York) Dec 14, 2023
PURPOSE: To evaluate the efficacy of a vendor-specific deep learning reconstruction algorithm (DLRA) in enhancing image quality and focal lesion detection using three-dimensional T1-weighted gradient-echo images in gadoxetic acid-enhanced liver magne...
Humans Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Magnetic Resonance Imaging Gadolinium DTPA Algorithms Retrospective Studies Sensitivity and Specificity Deep Learning
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Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.

European radiology Feb 14, 2023
OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative adjuvant treatment and monitoring. We aimed to explore the feasibility of ...
Magnetic Resonance Imaging Hepatectomy Gadolinium DTPA Liver Neoplasms Carcinoma, Hepatocellular Nomograms Contrast Media Humans Retrospective Studies Deep Learning
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Deep Learning-Based Automatic Detection and Grading of Motion-Related Artifacts on Gadoxetic Acid-Enhanced Liver MRI.

Investigative radiology Aug 31, 2022
OBJECTIVES: The aim of this study was to develop and validate a deep learning-based algorithm (DLA) for automatic detection and grading of motion-related artifacts on arterial phase liver magnetic resonance imaging (MRI).
Deep Learning Contrast Media Magnetic Resonance Imaging Liver Artifacts Gadolinium DTPA Retrospective Studies Aged Male Middle Aged Humans
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Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI.

Korean journal of radiology Apr 4, 2022
OBJECTIVE: We aimed to develop and test a deep learning algorithm (DLA) for fully automated measurement of the volume and signal intensity (SI) of the liver and spleen using gadoxetic acid-enhanced hepatobiliary phase (HBP)-magnetic resonance imaging...
Magnetic Resonance Imaging Liver Gadolinium DTPA Humans Retrospective Studies Female Adult Deep Learning Liver Neoplasms Contrast Media Male Middle Aged
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Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI.

European radiology Nov 17, 2020
OBJECTIVES: To (1) develop a fully automated deep learning (DL) algorithm based on gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and (2) compare the diagnostic performance of DL vs. MR elastography (MRE) for noninvasive staging of liver fibro...
Humans Retrospective Studies Magnetic Resonance Imaging Middle Aged Liver Deep Learning Gadolinium DTPA Liver Cirrhosis Elasticity Imaging Techniques
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Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.

European radiology Jun 17, 2020
OBJECTIVES: To reveal the utility of motion artifact reduction with convolutional neural network (MARC) in gadoxetate disodium-enhanced multi-arterial phase MRI of the liver.
Middle Aged Deep Learning Liver Neoplasms Contrast Media Breath Holding Gadolinium DTPA Magnetic Resonance Imaging Artifacts Aged Aged, 80 and over Adult Male Humans Neural Networks, Computer Retrospective Studies Female
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Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
Heart Rate Ventricular Function, Left Myocardial Ischemia United States Stroke Volume Female Diagnosis, Computer-Assisted Cardiomyopathies Contrast Media Gadolinium DTPA Middle Aged Risk Factors Imaging, Three-Dimensional Fourier Analysis Magnetic Resonance Imaging Death, Sudden, Cardiac Risk Assessment Aged Humans Action Potentials Male Machine Learning Predictive Value of Tests Prognosis Registries Retrospective Studies Arrhythmias, Cardiac
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GAN and dual-input two-compartment model-based training of a neural network for robust quantification of contrast uptake rate in gadoxetic acid-enhanced MRI.

Medical physics Feb 19, 2020
PURPOSE: Gadoxetic acid uptake rate (k ) obtained from dynamic, contrast-enhanced (DCE) magnetic resonance imaging (MRI) is a promising measure of regional liver function. Clinical exams are typically poorly temporally characterized, as seen in a low...
Contrast Media Magnetic Resonance Imaging Least-Squares Analysis Biological Transport Gadolinium DTPA Neural Networks, Computer Image Processing, Computer-Assisted
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