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Total 224 results found since Jan 2013.

Machine learning based prediction of length of stay in acute ischaemic stroke of the anterior circulation in patients treated with thrombectomy
CONCLUSION: Machine learning has potential use to estimate the length of stay of patients with acute ischaemic stroke that were treated with thrombectomy.PMID:37671446 | DOI:10.1177/15910199231197615
Source: Interventional Neuroradiology - September 6, 2023 Category: Radiology Authors: Ludger Feyen Jan Pinz-Bogesits Christian Blockhaus Marcus Katoh Patrick Haage Louisa Nitsch Christina Schaub Source Type: research

Decoding post-stroke motor function from structural brain imaging
Publication date: Available online 2 August 2016 Source:NeuroImage: Clinical Author(s): Jane M. Rondina, Maurizio Filippone, Mark Girolami, Nick S. Ward Clinical research based on neuroimaging data has benefited from machine learning methods, which have the ability to provide individualized predictions and to account for the interaction among units of information in the brain. Application of machine learning in structural imaging to investigate diseases that involve brain injury presents an additional challenge, especially in conditions like stroke, due to the high variability across patients regarding characteristics of ...
Source: NeuroImage: Clinical - August 2, 2016 Category: Radiology Source Type: research

Time-resolved CT assessment of collaterals as imaging biomarkers to predict clinical outcomes in acute ischemic stroke
ConclusionOur data results reinforce the importance of careful patient selection for recanalization therapy to avoid futile recanalization. The paucity of collaterals predicts poor clinical outcome despite recanalization. On the other hand, robust collaterals warrant consideration for recanalization therapy given the better odds of good clinical outcome.
Source: Neuroradiology - September 1, 2017 Category: Radiology Source Type: research

Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine
ConclusionFor ASPECTS assessment, the examined software may provide valid data in case of normal brain. It may enhance the work of neuroradiologists in clinical decision making. A final human check for plausibility is needed, particularly in patient groups with pre-existing cerebral changes.
Source: Neuroradiology - July 31, 2018 Category: Radiology Source Type: research

MRI measurements of iron content show impact of stroke
French researchers have taken a basic MR imaging technique to break new ground...Read more on AuntMinnie.comRelated Reading: Deep-learning MRI algorithm aids in neurological diagnoses CT matches MRI for late-window stroke evaluation Women less likely to receive poststroke imaging Is CCTA, MRI, or transthoracic echo best for predicting stroke? Study reveals steep cost of delaying stroke treatment
Source: AuntMinnie.com Headlines - March 12, 2019 Category: Radiology Source Type: news

Radiation exposure and fluoroscopy time in mechanical thrombectomy of anterior circulation ischemic stroke depending on the interventionalist ’s experience—a retrospective single center experience
ConclusionThis retrospective analysis demonstrates a significant influence of interventionalist ’s experience on procedure time, fluoroscopy time, and radiation exposure in mechanical thrombectomy in the anterior circulation.Key Points• There is a significant influence of interventionalist’s experience on procedure time, fluoroscopy time, and radiation exposure in mechanical thrombectomy in the anterior circulation.• Interventionalists’ learning curve is steepest during the first 25 cases.• These circumstances should be considered when reference levels or guide values are established and in training of physicia...
Source: European Radiology - February 20, 2020 Category: Radiology Source Type: research

Defining reperfusion post endovascular therapy in ischemic stroke using MR-dynamic contrast enhanced perfusion.
CONCLUSION: MR perfusion following EVT provides accurate physiological approach to understanding the relationship of CBF, clinical outcome, and DWI growth. ADVANCES IN KNOWLEDGE: MR perfusion CBF acquired is a robust, objective reperfusion measurement providing following recanalization of the target occlusion which is critical to distinguish potential therapeutic harm from the failed technical success of EVT as well as improve the responsiveness of clinical trial outcomes to disease modification. PMID: 32941770 [PubMed - as supplied by publisher]
Source: The British Journal of Radiology - September 16, 2020 Category: Radiology Authors: d'Esterre CD, Sah RG, Assis Z, Talai AS, Demchuk AM, Hill MD, Goyal M, Lee TY, Forkert ND, Barber PA Tags: Br J Radiol Source Type: research

Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study
AbstractMachine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the “multiclass machine learning (MCML)-based algorithms” (labelled as AtheroEdge 3.0ML) and assess whether considering carotid ultrasound imaging fused with conventional risk factors can provide better CVD/stroke risk prediction than conventional CVD risk calculators (CCVRC). Carotid ultrasound and coronary angiography were performed on 500 participants. Stenosis in the ...
Source: The International Journal of Cardiovascular Imaging - November 12, 2020 Category: Radiology Source Type: research

Can machine learning plus CBCT predict blood leaks in stroke patients?
Can machine learning used with conebeam CT (CBCT) help clinicians predict whethe...Read more on AuntMinnie.comRelated Reading: CT shows efficacy of recanalization in stroke patients CT stroke assessment helps determine best treatment AI spots large vessel occlusions, predicts patient outcome Is MRI a necessary addition to CT for stroke patients? Body composition analysis shows utility on CT
Source: AuntMinnie.com Headlines - October 31, 2022 Category: Radiology Source Type: news

Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients
CONCLUSION: Reliable TSPO PET quantification is achievable by using a single late PET frame divided by a late blood sample activity concentration.PMID:36682921 | DOI:10.1016/j.zemedi.2022.11.008
Source: Zeitschrift fur Medizinische Physik - January 22, 2023 Category: Radiology Authors: Artem Zatcepin Anna Kopczak Adrien Holzgreve Sandra Hein Andreas Schindler Marco Duering Lena Kaiser Simon Lindner Martin Schidlowski Peter Bartenstein Nathalie Albert Matthias Brendel Sibylle I Ziegler Source Type: research