AIMC Topic: Contrast Media

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A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

IEEE/ACM transactions on computational biology and bioinformatics May 11, 2018
The important role of angiogenesis in cancer development has driven many researchers to investigate the prospects of noninvasive cancer diagnosis based on the technology of contrast-enhanced ultrasound (CEUS) imaging. This paper presents a deep learn...
Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Male Humans Models, Statistical Area Under Curve Prostatic Neoplasms Video Recording Neoplasm Transplantation Deep Learning Ultrasonography Image Processing, Computer-Assisted Computational Biology Contrast Media
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Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.

Medical image analysis Mar 27, 2018
Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to evaluate the progress of the patient and detect complications. In this context, accurate qu...
Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Thrombosis Artifacts Pattern Recognition, Automated Humans Neural Networks, Computer Contrast Media Computed Tomography Angiography
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Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.

Medical physics Mar 25, 2018
PURPOSE: To develop an automatic deep feature classification (DFC) method for distinguishing benign angiomyolipoma without visible fat (AMLwvf) from malignant clear cell renal cell carcinoma (ccRCC) from abdominal contrast-enhanced computer tomograph...
Humans Machine Learning Carcinoma, Renal Cell Tomography, X-Ray Computed Radiography, Abdominal Sensitivity and Specificity Angiomyolipoma Image Processing, Computer-Assisted Contrast Media Diagnosis, Differential Kidney Neoplasms
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Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept.

Journal of vascular and interventional radiology : JVIR Mar 14, 2018
PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of transarterial chemoembolization by applying machine learning (ML) techniques.
Aged Adult Sensitivity and Specificity Male Middle Aged Humans Machine Learning Retrospective Studies Female Chemoembolization, Therapeutic Ethiodized Oil Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Staging Doxorubicin Antineoplastic Agents Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome
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Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI.

Journal of magnetic resonance imaging : JMRI Feb 13, 2018
BACKGROUND: There are concerns over gadolinium deposition from gadolinium-based contrast agents (GBCA) administration.
Contrast Media Magnetic Resonance Imaging Motion Artifacts Gadolinium Male Humans Middle Aged Machine Learning Deep Learning Brain Glioma Female Aged Adult Brain Neoplasms
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Evaluating Report Text Variation and Informativeness: Natural Language Processing of CT Chest Imaging for Pulmonary Embolism.

Journal of the American College of Radiology : JACR Feb 13, 2018
OBJECTIVE: The aim of this study was to quantify the variability of language in free text reports of pulmonary embolus (PE) studies and to gauge the informativeness of free text to predict PE diagnosis using machine learning as proxy for human unders...
Documentation Humans Machine Learning Software Retrospective Studies Tomography, X-Ray Computed Contrast Media Natural Language Processing Pulmonary Embolism Data Mining
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Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach.

Journal of magnetic resonance imaging : JMRI Jan 17, 2018
BACKGROUND: Adrenal adenomas (AA) are the most common benign adrenal lesions, often characterized based on intralesional fat content as either lipid-rich (LRA) or lipid-poor (LPA). The differentiation of AA, particularly LPA, from nonadenoma adrenal ...
Humans Machine Learning Algorithms Retrospective Studies Female Reproducibility of Results Image Interpretation, Computer-Assisted Aged Pattern Recognition, Automated Young Adult Adrenal Glands Contrast Media Adult Magnetic Resonance Imaging Male Lipids Middle Aged Adenoma Adolescent Adrenal Gland Neoplasms Image Processing, Computer-Assisted
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The effect of establishing pre-angiography thresholds on contrast utilization.

Journal of interventional cardiology Dec 20, 2017
INTRODUCTION: Contrast induced nephropathy is linked to contrast utilization and strategies for minimizing renal injury are incorporated into many laboratories that perform coronary angiography. Contrast limits have been described, below which there ...
Contrast Media Male Humans Creatinine Middle Aged Kidney Diseases Retrospective Studies Drug Dosage Calculations Incidence Risk Management Female Glomerular Filtration Rate Coronary Angiography Aged Kidney Function Tests
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Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.

European journal of radiology Dec 5, 2017
OBJECTIVE: To evaluate whether the use of a computer-aided diagnosis-contrast-enhanced spectral mammography (CAD-CESM) tool can further increase the diagnostic performance of CESM compared with that of experienced radiologists.
Middle Aged Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Support Vector Machine Contrast Media Female Reproducibility of Results Sensitivity and Specificity Mammography Breast Neoplasms Humans Breast Algorithms Feasibility Studies Retrospective Studies Image Enhancement
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Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.

Medical image analysis Nov 26, 2017
In patients with coronary artery stenoses of intermediate severity, the functional significance needs to be determined. Fractional flow reserve (FFR) measurement, performed during invasive coronary angiography (ICA), is most often used in clinical pr...
Heart Ventricles Algorithms Iohexol Female Computed Tomography Angiography Reproducibility of Results Coronary Stenosis Sensitivity and Specificity Middle Aged Cardiac-Gated Imaging Techniques Humans Male Deep Learning Contrast Media Coronary Angiography
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