AIMC Topic: Contrast Media

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Robust resolution improvement of 3D UTE-MR angiogram of normal vasculatures using super-resolution convolutional neural network.

Scientific reports Mar 18, 2025
Contrast-enhanced UTE-MRA provides detailed angiographic information but at the cost of prolonged scanning periods, which may impose moving artifacts and affect the promptness of diagnosis and treatment of time-sensitive diseases like stroke. This st...
Contrast Media Stroke Magnetic Resonance Angiography Neural Networks, Computer Convolutional Neural Networks Animals Imaging, Three-Dimensional Male Rats, Wistar Deep Learning Rats
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LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 17, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI). Standardized reporting according to the Liver Imaging Reporting and Data System (LI-RADS) can improve Gd-MRI interp...
Humans Retrospective Studies Magnetic Resonance Imaging Risk Assessment Female Image Interpretation, Computer-Assisted Deep Learning Aged Gadolinium DTPA Liver Neoplasms Adult Carcinoma, Hepatocellular Male Contrast Media Middle Aged
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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.

Renal failure Mar 13, 2025
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk for post-contrast acute kidney injury (PC-AKI), yet there are few predictive tools specifically designed for this vulnerable population.
ROC Curve Humans Renal Insufficiency, Chronic Contrast Media Predictive Value of Tests Retrospective Studies Aged Percutaneous Coronary Intervention Coronary Angiography Acute Kidney Injury Male Female Middle Aged Risk Factors Risk Assessment Deep Learning
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DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Magnetic resonance imaging Mar 13, 2025
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer.
Breast Neoplasms Middle Aged Deep Learning Contrast Media Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Ki-67 Antigen Dynamic Contrast Enhanced Magnetic Resonance Imaging Algorithms Retrospective Studies Female Aged Adult Humans
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Super-resolution deep learning reconstruction for improved quality of myocardial CT late enhancement.

Japanese journal of radiology Mar 12, 2025
PURPOSE: Myocardial computed tomography (CT) late enhancement (LE) allows assessment of myocardial scarring. Super-resolution deep learning image reconstruction (SR-DLR) trained on data acquired from ultra-high-resolution CT may improve image quality...
Aged Male Middle Aged Coronary Angiography Deep Learning Humans Contrast Media Algorithms Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Heart Tomography, X-Ray Computed Signal-To-Noise Ratio Female Radiographic Image Enhancement
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Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Scientific reports Mar 12, 2025
Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated the feasibility of a deep learning-based automatic quantification ...
Contrast Media Calcinosis Aortic Valve Stenosis Aortic Valve Coronary Angiography Aged, 80 and over Male Middle Aged Deep Learning Computed Tomography Angiography Humans Retrospective Studies Female Aged
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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Glomerular Filtration Rate Contrast Media Lower Extremity Peripheral Arterial Disease Predictive Value of Tests Humans Angioplasty Aged Machine Learning Male Decision Support Techniques Middle Aged Acute Kidney Injury Retrospective Studies Risk Assessment Female Treatment Outcome Reproducibility of Results Risk Factors
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Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

International journal of cardiology Mar 2, 2025
BACKGROUND: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold standard for assessing myocardial infarction (MI) size. Texture-based probability mapping (TPM) is a novel machine learning-based analysis of LGE imag...
Male Middle Aged Follow-Up Studies Contrast Media ST Elevation Myocardial Infarction Humans Prospective Studies Female Aged Percutaneous Coronary Intervention Gadolinium Proof of Concept Study Magnetic Resonance Imaging, Cine
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Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Reproducibility of Results Aged Adult Sensitivity and Specificity Male Artifacts Humans Spinal Neoplasms Algorithms Image Enhancement Computer Simulation Signal-To-Noise Ratio Middle Aged Female Diffusion Magnetic Resonance Imaging Contrast Media Magnetic Resonance Imaging Models, Statistical Image Interpretation, Computer-Assisted
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Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency department.

Scientific reports Feb 27, 2025
Radiocontrast media is a major cause of nephrotoxic acute kidney injury(AKI). Contrast-enhanced CT(CE-CT) is commonly performed in emergency departments(ED). Predicting individualized risks of contrast-associated AKI(CA-AKI) in ED patients is challen...
Male Humans Creatinine Middle Aged Acute Kidney Injury Machine Learning Female Contrast Media Retrospective Studies Risk Factors Emergency Service, Hospital Tomography, X-Ray Computed Aged Adult
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