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Procedure: Angiography

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Total 155 results found since Jan 2013.

Computed tomography angiography-based radiomics model to identify high-risk carotid plaques
CONCLUSIONS: The combined model of the radiomics features of carotid plaques and PVAT and the traditional CTA features significantly contributes to identifying high-risk carotid plaques compared with traditional CTA model.PMID:37711840 | PMC:PMC10498225 | DOI:10.21037/qims-23-158
Source: Atherosclerosis - September 15, 2023 Category: Cardiology Authors: Chao Chen Wei Tang Yong Chen Wenhan Xu Ningjun Yu Chao Liu Zenghui Li Zhao Tang Xiaoming Zhang Source Type: research

Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability
This study aimed to identify radiomic features associated with the neovascularization of CAP and construct a prediction model for CAP vulnerability based on radiomic features. CTA data and clinical data of patients with CAPs who underwent CTA and CEUS between January 2018 and December 2021 in Beijing Hospital were retrospectively collected. The data were divided into a training cohort and a testing cohort using a 7:3 split. According to the examination of CEUS, CAPs were dichotomized into vulnerable and stable groups. 3D Slicer software was used to delineate the region of interest in CTA images, and the Pyradiomics package...
Source: Frontiers in Neurology - June 16, 2023 Category: Neurology Source Type: research

CT Angiography Radiomics Combining Traditional Risk Factors to Predict Brain Arteriovenous Malformation Rupture: a Machine Learning, Multicenter Study
This study aimed to develop a machine learning model for predicting brain arteriovenous malformation (bAVM) rupture using a combination of traditional risk factors and radiomics features. This multicenter retrospective study enrolled 586 patients with unruptured bAVMs from 2010 to 2020. All patients were grouped into the hemorrhage (n = 368) and non-hemorrhage (n = 218) groups. The bAVM nidus were segmented on CT angiography images using Slicer software, and radiomic features were extracted using Pyradiomics. The dataset included a training set and an independent testing set. The machine learning model was developed on the...
Source: Translational Stroke Research - June 13, 2023 Category: Neurology Source Type: research

Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography
CONCLUSION: FF and NID can serve as useful imaging markers of symptomatic carotid plaques. This tree-based machine learning model incorporating both DECT and clinical features could potentially comprise a non-invasive method for identification of symptomatic carotid plaques to guide clinical treatment strategies.PMID:37290153 | DOI:10.1016/j.jstrokecerebrovasdis.2023.107209
Source: Atherosclerosis - June 8, 2023 Category: Cardiology Authors: Ling-Jie Wang Pei-Qing Zhai Li-Li Xue Cai-Yun Shi Qian Zhang Hua Zhang Source Type: research

Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning
Conclusion These results may serve as an unbiased standard for clinical stroke trials, as optimal standardization would be useful for core laboratories in endovascular thrombectomy studies, and also expedite decision-making during DSA-based procedures.
Source: Journal of NeuroInterventional Surgery - May 16, 2023 Category: Neurosurgery Authors: Khankari, J., Yu, Y., Ouyang, J., Hussein, R., Do, H. M., Heit, J. J., Zaharchuk, G. Tags: Ischemic stroke Source Type: research

Guidelines for reasonable and appropriate care in the emergency department 3 (GRACE-3): Acute dizziness and vertigo in the emergency department
Acad Emerg Med. 2023 May;30(5):442-486. doi: 10.1111/acem.14728.ABSTRACTThis third Guideline for Reasonable and Appropriate Care in the Emergency Department (GRACE-3) from the Society for Academic Emergency Medicine is on the topic adult patients with acute dizziness and vertigo in the emergency department (ED). A multidisciplinary guideline panel applied the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to assess the certainty of evidence and strength of recommendations regarding five questions for adult ED patients with acute dizziness of less than 2 weeks' duration. The intended pop...
Source: Accident and Emergency Nursing - May 11, 2023 Category: Emergency Medicine Authors: Jonathan A Edlow Christopher Carpenter Murtaza Akhter Danya Khoujah Evie Marcolini William J Meurer David Morrill James G Naples Robert Ohle Rodney Omron Sameer Sharif Matt Siket Suneel Upadhye Lucas Oliveira J E Silva Etta Sundberg Karen Tartt Simone Van Source Type: research

Radiomics analysis for predicting malignant cerebral edema in patients undergoing endovascular treatment for acute ischemic stroke
CONCLUSION: A CT image-based radiomics signature is a promising tool for predicting MCE in patients with acute anterior circulation infarction after EVT. For clinicians, it may assist in diagnostic decision-making.PMID:36988060 | DOI:10.4274/dir.2023.221764
Source: Diagnostic and Interventional Radiology - March 29, 2023 Category: Radiology Authors: Xuehua Wen Xingfei Hu Yanan Xiao Junfa Chen Source Type: research

Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients
ConclusionFormulating the vessel labeling process as a maximization task for bifurcation matching can vastly improve accurate vessel tracing. The proposed algorithm only uses simple features and does not require expensive training data.
Source: International Journal of Computer Assisted Radiology and Surgery - February 20, 2023 Category: Intensive Care Source Type: research

Automated CT angiography collateral scoring in anterior large vessel occlusion stroke: A multireader study
CONCLUSION: Automated assistance for CTA-CS using e-CTA software provided helpful decision support for readers in terms of improving scoring accuracy and reading efficiency for physicians with a range of experience and training backgrounds and leading to significant improvements in inter-rater agreement.PMID:36650942 | DOI:10.1177/15910199221150470
Source: Interventional Neuroradiology - January 18, 2023 Category: Radiology Authors: Mohamed Sobhi Jabal David F Kallmes George Harston Norbert Campeau Kara Schwartz Steven Messina Carrie Carr John Benson Jason Little Alex Nagelschneider Ajay Madhavan Deena Nasr Sherry Braksick James Klaas Eugene Scharf Cem Bilgin Waleed Brinjikji Source Type: research