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Specialty: Radiology
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Total 224 results found since Jan 2013.

Contrast-enhanced ultrasound to predict the risk of microembolization during carotid artery stenting
Conclusion Contrast enhancement of the carotid plaque is strongly associated with post-procedural microembolization and for this reason it can be considered a reliable tool for an accurate selection of patients undergoing this endovascular treatment. However, the neurocognitive test scores performed in this study are not enough sensible to appreciate the impact of the neurological injury on the day life activities.
Source: La Radiologia Medica - March 25, 2015 Category: Radiology Source Type: research

Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme.
Authors: Tian X, Zeng D, Zhang S, Huang J, Zhang H, He J, Lu L, Xi W, Ma J, Bian Z Abstract Dynamic cerebral perfusion x-ray computed tomography (PCT) imaging has been advocated to quantitatively and qualitatively assess hemodynamic parameters in the diagnosis of acute stroke or chronic cerebrovascular diseases. However, the associated radiation dose is a significant concern to patients due to its dynamic scan protocol. To address this issue, in this paper we propose an image restoration method by utilizing coupled dictionary learning (CDL) scheme to yield clinically acceptable PCT images with low-dose data acquisi...
Source: Journal of X-Ray Science and Technology - September 11, 2016 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Retriever first embolectomy (ReFirE): An alternative approach for challenging cervical access.
Authors: Behme D, Knauth M, Psychogios MN Abstract After endovascular treatment became the standard of care procedure for acute ischaemic stroke with large artery occlusion in 2015 the number of performed interventions has increased dramatically. Especially because age is no exclusion criterion for endovascular treatment, a relevant number of patients with difficult to access carotid arteries has to be treated. In these patients a direct puncture of the carotid is a valuable tool but is associated with severe complications and an initial learning curve. We therefore developed the so called retriever first embolecto...
Source: Interventional Neuroradiology - May 1, 2017 Category: Radiology Tags: Interv Neuroradiol Source Type: research

Infervision debuts AI stroke screening software
Chinese artificial intelligence (AI) software developer Infervision unveiled...Read more on AuntMinnie.comRelated Reading: AI developer Infervision adds to coffers AI start-up eyes deep learning to aid imaging in China
Source: AuntMinnie.com Headlines - December 5, 2017 Category: Radiology Source Type: news

Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment  (DynaMITE)
Radiology and interventional radiology training has evolved in the last  few decades, facilitated by advances in technology [1]. Increasing availability of web-based educational materials, both free and subscription-based, has allowed access to high-quality educational content [2]. In the past few years, there has been a resurgence in the field of immersive and virtu al reality (VR), driven by the entertainment and video game industries. Medical specialties are learning how to apply these immersive technologies for surgical skills training, stroke rehabilitation [3], and management of obstetrical emergencies [4], for example.
Source: Journal of the American College of Radiology : JACR - March 13, 2018 Category: Radiology Authors: Colin J. McCarthy, Alvin Y.C. Yu, Synho Do, Steven L. Dawson, Raul N. Uppot Tags: Case studies in training and education Source Type: research

MRI shows possible cause for attention woes after stroke
MRI scans appear to have uncovered abnormalities in certain brain pathways...Read more on AuntMinnie.comRelated Reading: MRI shows smaller brain volume in kids with ADHD Machine learning predicts working-memory performance MRI, radiomics help diagnose, discern ADHD subtypes DTI shows how music could help kids with autism, ADHD 3D MRI shows risks in premature infants
Source: AuntMinnie.com Headlines - May 9, 2018 Category: Radiology Source Type: news

Functional connectivity analysis for thalassemia disease based on a graphical lasso model.
FUNCTIONAL CONNECTIVITY ANALYSIS FOR THALASSEMIA DISEASE BASED ON A GRAPHICAL LASSO MODEL. Proc IEEE Int Symp Biomed Imaging. 2016 Apr;2016:1295-1298 Authors: Coloigner J, Phlypo R, Bush A, Lepore N, Wood J Abstract Thalassemia is a congenital disorder of hemoglobin synthesis which can lead to thromboembolic events and stroke in the brain. In this work we propose to use a functional connectivity model to discriminate between control and diseased subjects. Our connectivity measure is based on functional magnetic resonance imaging, and hence common variations of the blood oxygenation level in spatially d...
Source: Proceedings - International Symposium on Biomedical Imaging - October 24, 2018 Category: Radiology Tags: Proc IEEE Int Symp Biomed Imaging Source Type: research

Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information
American Journal of Roentgenology, Ahead of Print.
Source: American Journal of Roentgenology - October 24, 2018 Category: Radiology Authors: Yuan Xie Bin Jiang Enhao Gong Ying Li Guangming Zhu Patrik Michel Max Wintermark Greg Zaharchuk Source Type: research

Machine learning can predict stroke treatment outcomes
Making use of imaging features and demographic information, machine-learning...Read more on AuntMinnie.comRelated Reading: 5 reasons why imaging AI is different from CAD Deep learning improves detection of cerebral aneurysms ASTRO: AI's rad therapy future is in predicting outcomes AI effective for assessing breast density AI can prescreen head CT studies for urgent findings
Source: AuntMinnie.com Headlines - October 30, 2018 Category: Radiology Source Type: news

Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information
American Journal of Roentgenology, Ahead of Print.
Source: American Journal of Roentgenology - October 24, 2018 Category: Radiology Authors: Yuan Xie Bin Jiang Enhao Gong Ying Li Guangming Zhu Patrik Michel Max Wintermark Greg Zaharchuk Source Type: research

Machine learning studies on major brain diseases: 5-year trends of 2014 –2018
AbstractIn the recent 5  years (2014–2018), there has been growing interest in the use of machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic lesion changes within the area of neuroradiology. However, to date, the majority of research trend and current status have not been clearly il luminated in the neuroradiology field. More than 1000 papers have been published during the past 5 years on subject classification and prediction focused on multiple brain disorders. We provide a survey of 209 papers in this field with a focus on top ten active areas of research; i.e., Alzheimer’ s di...
Source: Japanese Journal of Radiology - November 29, 2018 Category: Radiology Source Type: research

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models
AbstractHighly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue for the diagnostic decision and treatment in an emergency room. In the context of a study on diagnostic accuracy, there is a tradeoff between sensitivity and specificity. In order to improve sensitivity while preserving specificity, we propose a cascade deep learning model constructed using two convolutional neural networks (CNNs) and dual fully convolutional networks (FCNs). The cascade CNN model is built for identifying bleeding; hereafter the dual FCN is to detect five different subtypes of intracranial hemorrhage...
Source: Journal of Digital Imaging - January 24, 2019 Category: Radiology Source Type: research

Singapore firm, Stanford team up on AI for liver cancer
Genomic medicine company Lucence Diagnostics has launched a joint effort with...Read more on AuntMinnie.comRelated Reading: Stanford launches huge dataset of chest x-rays for AI New PET tracer could aid melanoma detection AI could bring ultralow-dose imaging to amyloid PET AI may help in fight against gadolinium deposition Machine learning can predict stroke treatment outcomes
Source: AuntMinnie.com Headlines - March 12, 2019 Category: Radiology Source Type: news

Screening mammography beyond breast cancer: breast arterial calcifications as a sex-specific biomarker of cardiovascular risk
ConclusionsThere is a strong rationale for mammography to become a dual test for breast cancer screening and CV disease prevention. However, robust and automated quantification methods are needed for a deeper insight on the association between BAC and CV disease, to stratifying CV risk and define personalized preventive actions.Graphical abstract
Source: European Journal of Radiology - August 12, 2019 Category: Radiology Source Type: research