AIMC Topic: Gadolinium DTPA

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Interactive Explainable Deep Learning Model for Hepatocellular Carcinoma Diagnosis at Gadoxetic Acid-enhanced MRI: A Retrospective, Multicenter, Diagnostic Study.

Radiology. Imaging cancer May 1, 2025
Purpose To develop an artificial intelligence (AI) model based on gadoxetic acid-enhanced MRI to assist radiologists in hepatocellular carcinoma (HCC) diagnosis. Materials and Methods This retrospective study included patients with focal liver lesion...
Humans Retrospective Studies Contrast Media Magnetic Resonance Imaging Liver Neoplasms Carcinoma, Hepatocellular Image Enhancement Gadolinium DTPA Liver Image Interpretation, Computer-Assisted Sensitivity and Specificity Aged Middle Aged Male Deep Learning Adult Female
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AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI.

European radiology experimental May 1, 2025
BACKGROUND: To compare liver image quality and lesion detection using an AI-augmented T1-weighted sequence on hepatobiliary-phase gadoxetate-enhanced magnetic resonance imaging (MRI).
Image Processing, Computer-Assisted Contrast Media Liver Neoplasms Image Interpretation, Computer-Assisted Gadolinium DTPA Breath Holding Aged Image Enhancement Neural Networks, Computer Male Humans Adult Magnetic Resonance Imaging Female Middle Aged Liver
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Deep Learning Radiopathomics Models Based on Contrast-enhanced MRI and Pathologic Imaging for Predicting Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

Radiology. Imaging cancer Mar 1, 2025
Purpose To develop deep learning (DL) radiopathomics models based on contrast-enhanced MRI and pathologic imaging to predict vessels encapsulating tumor clusters (VETC) and survival in hepatocellular carcinoma (HCC). Materials and Methods In this ret...
Nomograms Contrast Media Carcinoma, Hepatocellular Magnetic Resonance Imaging Gadolinium DTPA Male Humans Female Middle Aged Prognosis Aged Deep Learning Retrospective Studies Liver Neoplasms
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Gd-EOB-DTPA-enhanced MRI Image Characteristics and Radiomics Characteristics Combined with Machine Learning for Assessment of Functional Liver Reserve.

Current medical imaging Jan 1, 2024
OBJECTIVE: To investigate the feasibility of image characteristics and radiomics combined with machine learning based on Gd-EOB-DTPA-enhanced MRI for functional liver reserve assessment in cirrhotic patients.
Machine Learning Retrospective Studies Radiomics Feasibility Studies Contrast Media Liver Cirrhosis Humans Magnetic Resonance Imaging Gadolinium DTPA Liver
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