AIMC Topic: Contrast Media

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Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.

Clinical and translational gastroenterology Oct 1, 2019
INTRODUCTION: Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliability to preoperatively predict AHS, we developed a computational approach by integrating large-scale im...
Male Middle Aged Prevalence Image Processing, Computer-Assisted Follow-Up Studies Tomography, X-Ray Computed Female Reproducibility of Results Stomach Neoplasms Gastrectomy Disease-Free Survival Preoperative Period Kaplan-Meier Estimate Stomach Contrast Media Neoplasm Invasiveness Neoplasm Staging Neoplasm Recurrence, Local Humans Machine Learning Computer Simulation Prognosis Retrospective Studies
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Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network.

Neuro-oncology Sep 6, 2019
BACKGROUND: The aim of this study was to predict isocitrate dehydrogenase (IDH) genotypes of gliomas using an interpretable deep learning application for dynamic susceptibility contrast (DSC) perfusion MRI.
Neural Networks, Computer Female Aged Adult Brain Neoplasms Humans Area Under Curve Mutation Magnetic Resonance Angiography Isocitrate Dehydrogenase Image Processing, Computer-Assisted Male Genotype Middle Aged Glioma Deep Learning Contrast Media ROC Curve Magnetic Resonance Imaging
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Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

Abdominal radiology (New York) Jun 1, 2019
PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignant until proven otherwise and there is substantial overlap in the imaging findings of benign and malignant renal masses, particularly between clear cel...
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Deep Learning Contrast Media Diagnosis, Differential Humans Software Algorithms Retrospective Studies Female Carcinoma, Renal Cell Radiographic Image Interpretation, Computer-Assisted Adenoma, Oxyphilic Kidney Neoplasms Iohexol Multidetector Computed Tomography
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Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.

Investigative radiology Jun 1, 2019
OBJECTIVES: We investigated artificial intelligence (AI)-based classification of benign and malignant breast lesions imaged with a multiparametric breast magnetic resonance imaging (MRI) protocol with ultrafast dynamic contrast-enhanced MRI, T2-weigh...
Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Female Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Humans ROC Curve Artificial Intelligence Contrast Media Retrospective Studies Breast Image Enhancement
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A Platform Integrating Acquisition, Reconstruction, Visualization, and Manipulator Control Modules for MRI-Guided Interventions.

Journal of digital imaging Jun 1, 2019
This work presents a platform that integrates a customized MRI data acquisition scheme with reconstruction and three-dimensional (3D) visualization modules along with a module for controlling an MRI-compatible robotic device to facilitate the perform...
Robotics Magnetic Resonance Imaging, Interventional Imaging, Three-Dimensional Image Processing, Computer-Assisted Abdomen Contrast Media Humans Computer Simulation
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Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study.

Journal of computer assisted tomography Jan 1, 2019
OBJECTIVE: Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusio...
Exercise Test Coronary Artery Disease Feasibility Studies Knowledge Bases Multidetector Computed Tomography Hemodynamics Contrast Media Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Cardiac-Gated Imaging Techniques Iopamidol Humans Algorithms Retrospective Studies Female Aged Male Middle Aged
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A Decision-Support Tool for Renal Mass Classification.

Journal of digital imaging Dec 1, 2018
We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevan...
Kidney Contrast Media Kidney Neoplasms Decision Support Techniques Radiographic Image Enhancement Retrospective Studies Humans Tomography, X-Ray Computed Machine Learning Clinical Decision-Making Algorithms Reproducibility of Results
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Robotic Path Planning Using A Algorithm for Automatic Navigation in Magnetic Resonance Angiography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Magnetic resonance navigation (MRN) is an emerging research technique in recent years. The micro/nano robots existing in vessels can be driven by magnetic gradients given by MR scanner. As a non-invasive vascular imaging technique, Magnetic resonance...
Magnetic Resonance Angiography Humans Algorithms Contrast Media Robotics Robotic Surgical Procedures
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Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.

Journal of digital imaging Apr 1, 2018
Magnetic resonance imaging (MRI) protocoling can be time- and resource-intensive, and protocols can often be suboptimal dependent upon the expertise or preferences of the protocoling radiologist. Providing a best-practice recommendation for an MRI pr...
Image Interpretation, Computer-Assisted Musculoskeletal Diseases Image Enhancement Musculoskeletal System Contrast Media Magnetic Resonance Imaging Injections, Intravenous Natural Language Processing Humans Algorithms Retrospective Studies Reproducibility of Results
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Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Radiographics : a review publication of the Radiological Society of North America, Inc Jan 1, 2018
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. ...
Deep Learning Feces Contrast Media Colonography, Computed Tomographic Humans Radiation Dosage Algorithms Cathartics Colorectal Neoplasms
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