Predicting Patients With Insufficient Liver Enhancement in the Hepatobiliary Phase Before the Injection of Gadoxetic Acid: A Practical Approach Using the Bayesian Method
Author:
Affiliation:
1. Department of RadiologyUniversity of Yamanashi Yamanashi Japan
2. Department of Diagnostic Radiology and NeuroradiologyUniversity Medicine Greifswald Greifswald Germany
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26760
Reference33 articles.
1. Improved Detection of Focal Liver Lesions at MR Imaging: Multicenter Comparison of Gadoxetic Acid–enhanced MR Images with Intraoperative Findings
2. Comparison of gadoxetic acid-enhanced dynamic MR imaging and contrast-enhanced computed tomography for preoperative evaluation of colorectal liver metastases
3. Incremental Value of Liver MR Imaging in Patients with Potentially Curable Colorectal Hepatic Metastasis Detected at CT: A Prospective Comparison of Diffusion-weighted Imaging, Gadoxetic Acid–enhanced MR Imaging, and a Combination of Both MR Techniques
4. Added Value of a Gadoxetic Acid-enhanced Hepatocyte-phase Image to the LI-RADS System for Diagnosing Hepatocellular Carcinoma
5. Added value of ancillary imaging features for differentiating scirrhous hepatocellular carcinoma from intrahepatic cholangiocarcinoma on gadoxetic acid-enhanced MR imaging
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1. A convenient and reproducible protocol for acquisition of the hepatocyte phase for liver function-impaired patients in gadoxetic acid disodium-enhanced magnetic resonance imaging;Quantitative Imaging in Medicine and Surgery;2024-02
2. Gadoxetic Acid–Enhanced Liver MRI;Investigative Radiology;2023-05-25
3. Optimization of hepatobiliary phase imaging in gadoxetic acid-enhanced magnetic resonance imaging: a narrative review;Quantitative Imaging in Medicine and Surgery;2023-03
4. Clinical Significance of Liver MR Imaging;Magnetic Resonance in Medical Sciences;2023
5. Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms;Abdominal Radiology;2021-10-13
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