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Total 112 results found since Jan 2013.
Automated prediction of final infarct volume in patients with large-vessel occlusion acute ischemic stroke
CONCLUSIONS: In a cohort of patients with LVO AIS in whom reperfusion was achieved, determinations of infarct core at presentation by NCHCT-ASPECTS and a machine learning model analyzing CTA source images were equivalent to CTP in predicting FIV. These findings have suggested that the information to accurately predict infarct core in patients with LVO AIS was present in conventional imaging modalities (NCHCT and CTA) and accessible by machine learning methods.PMID:34198252 | DOI:10.3171/2021.4.FOCUS21134
Source: Neurosurgical Focus - July 1, 2021 Category: Neurosurgery Authors: Rania Abdelkhaleq Youngran Kim Swapnil Khose Peter Kan Sergio Salazar-Marioni Luca Giancardo Sunil A Sheth Source Type: research
HIV-positive people have higher incidence of coronary plaque
Coronary CT angiography (CCTA) shows that HIV-positive people have higher incidenc...Read more on AuntMinnie.comRelated Reading:
CTA shows the effect of job stress on the heart
Use of CTA, CT perfusion up -- but for the right reasons
CCTA shows coronary plaque burden higher in people with HIV
Machine learning helps find vessel occlusions on CTA
CTA spots COVID-19 in stroke patients
Source: AuntMinnie.com Headlines - June 30, 2021 Category: Radiology Source Type: news
Machine Learning-Based Prediction of Brain Tissue Infarction in Patients With Acute Ischemic Stroke Treated With Theophylline as an Add-On to Thrombolytic Therapy: A Randomized Clinical Trial Subgroup Analysis
Conclusions: The predicted follow-up brain lesions for each patient were not significantly different for patients virtually treated with theophylline or placebo, as an add-on to thrombolytic therapy. Thus, this study confirmed the lack of neuroprotective effect of theophylline shown in the main clinical trial and is contrary to the results from preclinical stroke models.
Source: Frontiers in Neurology - May 21, 2021 Category: Neurology Source Type: research
Learning non-local perfusion textures for high-quality computed tomography perfusion imaging
CONCLUSIONS: The presented NPTN method can obtain high-quality CTP images and estimate high-accuracy CBF map by characterizing more structure details and contrast variants in the CTP image, and outperform the competing methods at low-dose cases.PMID:33910178 | DOI:10.1088/1361-6560/abfc90
Source: Physics in Medicine and Biology - April 28, 2021 Category: Physics Authors: Sui Li Dong Zeng Zhaoying Bian Danyang Li Manman Zhu Jing Huang Jianhua Ma Source Type: research
