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Contrast Media

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Reducing Gadolinium Contrast With Artificial Intelligence.

Journal of magnetic resonance imaging : JMRI Oct 31, 2023
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain barrier breakdown from an inflammatory, infectious, or neoplastic process. However, gadolinium contrast...
Contrast Media Magnetic Resonance Imaging Neuroimaging Gadolinium Humans Artificial Intelligence Machine Learning Brain
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Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort.

European radiology Oct 28, 2023
OBJECTIVES: To develop a deep learning (DL) for detection of brain metastasis (BM) that incorporates both gradient- and turbo spin-echo contrast-enhanced MRI (dual-enhanced DL) and evaluate it in a clinical cohort in comparison with human readers and...
Cohort Studies Contrast Media Magnetic Resonance Imaging False Positive Reactions Male Middle Aged Deep Learning Humans Female Aged Aged, 80 and over Adult Sensitivity and Specificity Brain Neoplasms
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Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

Academic radiology Oct 20, 2023
RATIONALE AND OBJECTIVES: Recurrence of hepatocellular carcinoma (HCC) is a major concern in its management. Accurately predicting the risk of recurrence is crucial for determining appropriate treatment strategies and improving patient outcomes. A ce...
Predictive Value of Tests Neoplasm Recurrence, Local Humans Machine Learning Sensitivity and Specificity Radiomics Liver Neoplasms Carcinoma, Hepatocellular Contrast Media
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Editorial for "Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI".

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
Female Breast Neoplasms Radiomics Deep Learning Humans Neoplasm Invasiveness Breast Lymphatic Metastasis Contrast Media Magnetic Resonance Imaging
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Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non-invasive assessment method.
Humans Retrospective Studies Breast Deep Learning Cohort Studies ROC Curve Lymphatic Metastasis Contrast Media Magnetic Resonance Imaging Female Breast Neoplasms Neoplasm Invasiveness Aged Radiomics Adult Cross-Sectional Studies Middle Aged
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AI as a New Frontier in Contrast Media Research: Bridging the Gap Between Contrast Media Reduction, the Contrast-Free Question and New Application Discoveries.

Investigative radiology Oct 12, 2023
Artificial intelligence (AI) techniques are currently harnessed to revolutionize the domain of medical imaging. This review investigates 3 major AI-driven approaches for contrast agent management: new frontiers in contrast agent dose reduction, the c...
United States Contrast Media United States Food and Drug Administration Artifacts Artificial Intelligence Machine Learning
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Evaluation of late gadolinium enhancement cardiac MRI using deep learning reconstruction.

Acta radiologica (Stockholm, Sweden : 1987) Sep 12, 2023
BACKGROUND: Deep learning (DL)-based methods have been used to improve the imaging quality of magnetic resonance imaging (MRI) by denoising.
Heart Humans Gadolinium Deep Learning Contrast Media Magnetic Resonance Imaging
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Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Sep 1, 2023
PURPOSE: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been proposed as useful for improving temporal resolution and image quality on MR sequences in differ...
Adult Male Middle Aged Lung Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Retrospective Studies Female Aged Aged, 80 and over Humans Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Multidetector Computed Tomography Lung Neoplasms Carcinoma, Non-Small-Cell Lung Contrast Media
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Deep-learning prostate cancer detection and segmentation on biparametric versus multiparametric magnetic resonance imaging: Added value of dynamic contrast-enhanced imaging.

International journal of urology : official journal of the Japanese Urological Association Aug 22, 2023
OBJECTIVES: To develop diagnostic algorithms of multisequence prostate magnetic resonance imaging for cancer detection and segmentation using deep learning and explore values of dynamic contrast-enhanced imaging in multiparametric imaging, compared w...
Deep Learning Humans Prostate Retrospective Studies Contrast Media Magnetic Resonance Spectroscopy Magnetic Resonance Imaging Male Prostatic Neoplasms
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3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.

Journal of magnetic resonance imaging : JMRI Aug 19, 2023
BACKGROUND: Deep learning models require large-scale training to perform confidently, but obtaining annotated datasets in medical imaging is challenging. Weak annotation has emerged as a way to save time and effort.
Deep Learning Humans Adult Imaging, Three-Dimensional Retrospective Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Breast Neoplasms Contrast Media Breast Female Middle Aged Image Interpretation, Computer-Assisted Reproducibility of Results Aged
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