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Total 224 results found since Jan 2013.

Cognitive and neural mechanisms underlying the mnemonic effect of songs after stroke
Publication date: Available online 5 August 2019Source: NeuroImage: ClinicalAuthor(s): Vera Leo, Aleksi J. Sihvonen, Tanja Linnavalli, Mari Tervaniemi, Matti Laine, Seppo Soinila, Teppo SärkämöAbstractSung melody provides a mnemonic cue that can enhance the acquisition of novel verbal material in healthy subjects. Recent evidence suggests that also stroke patients, especially those with mild aphasia, can learn and recall novel narrative stories better when they are presented in sung than spoken format. Extending this finding, the present study explored the cognitive mechanisms underlying this effect by determining wheth...
Source: NeuroImage: Clinical - August 6, 2019 Category: Radiology Source Type: research

Generalizing post-stroke prognoses from research data to clinical data
Publication date: Available online 14 October 2019Source: NeuroImage: ClinicalAuthor(s): Robert Loughnan, Diego L. Lorca-Puls, Andrea Gajardo-Vidal, Valeria Espejo-Videla, Céline R. Gillebert, Dante Mantini, Cathy J. Price, Thomas M.H. HopeAbstractAround a third of stroke survivors suffer from acquired language disorders (aphasia), but current medicine cannot predict whether or when they might recover. Prognostic research in this area increasingly draws on datasets associating structural brain imaging data with outcome scores for ever-larger samples of stroke patients. The aim is to learn brain-behavior trends from these ...
Source: NeuroImage: Clinical - October 15, 2019 Category: Radiology Source Type: research

Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training
Publication date: Available online 30 December 2019Source: NeuroImage: ClinicalAuthor(s): Geneviève Richard, Knut Kolskår, Kristine M. Ulrichsen, Tobias Kaufmann, Dag Alnæs, Anne-Marthe Sanders, Erlend S. Dørum, Jennifer Monereo Sánchez, Anders Petersen, Hege Ihle-Hansen, Jan Egil Nordvik, Lars T. WestlyeAbstractCognitive deficits are important predictors for outcome, independence and quality of life after stroke, but often remain unnoticed and unattended because other impairments are more evident. Computerized cognitive training (CCT) is among the candidate interventions that may alleviate cognitive difficulties, but...
Source: NeuroImage: Clinical - December 30, 2019 Category: Radiology Source Type: research

CT radiomics unlocks basal ganglia stroke onset time
The combination of radiomics and a machine-learning algorithm can determine...Read more on AuntMinnie.comRelated Reading: AI may help improve management of stroke patients AI finds infarction in stroke patients on unenhanced CT CT plus CT perfusion predicts stroke surgery outcomes CTA lowers costs, improves outcomes for minor stroke Can AI find brain hemorrhage as well as radiologists?
Source: AuntMinnie.com Headlines - February 11, 2020 Category: Radiology Source Type: news

Artificial Intelligence and Stroke Imaging
This article addresses this topic and seeks to present an overview of machine learning and/or deep learning applied to stroke imaging.
Source: Neuroimaging Clinics - September 17, 2020 Category: Radiology Authors: Guangming Zhu, Bin Jiang, Hui Chen, Elizabeth Tong, Yuan Xie, Tobias D. Faizy, Jeremy J. Heit, Greg Zaharchuk, Max Wintermark Source Type: research

Study: Do angio before CT in acute stroke patients
Performing angiography immediately in stroke patients improves treatment tim...Read more on AuntMinnie.comRelated Reading: CT mobile stroke units improve patient outcomes AI predicts cardiovascular risk on routine chest CT Stroke ambulances improve patient outcomes fMRI reveals info about visual conditions in stroke patients Machine learning helps find vessel occlusions on CTA
Source: AuntMinnie.com Headlines - March 19, 2021 Category: Radiology Source Type: news

Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds
ConclusionsCombining an ADC threshold of 0.6 × 10−3 mm2/s with DWI reduces interobserver and inter-DLM difference and achieves best segmentation performance of AIS lesions using DLMs.Key Points•Higher Dice similarity coefficient (DSC) in predicting acute ischemic stroke lesions was achieved by ADC thresholds combined with DWI than by DWI alone (all p< .05).•DSC had a negative association with the ADC threshold in most sizes, both hospitals, and both observers (most p< .05) and a positive association with the stroke size in all ADC thresholds, both hospitals, and both observers (all p< .001).•An ADC thresh...
Source: European Radiology - July 14, 2022 Category: Radiology Source Type: research

Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks FUNCTIONAL
CONCLUSIONS: An unsupervised generative adversarial network can be used to obtain automated infarct lesion segmentations with a moderate Dice similarity coefficient and good volumetric correspondence.
Source: American Journal of Neuroradiology - August 8, 2022 Category: Radiology Authors: van Voorst, H., Konduri, P. R., van Poppel, L. M., van der Steen, W., van der Sluijs, P. M., Slot, E. M. H., Emmer, B. J., van Zwam, W. H., Roos, Y. B. W. E. M., Majoie, C. B. L. M., Zaharchuk, G., Caan, M. W. A., Marquering, H. A., on behalf of the CONTR Tags: FUNCTIONAL Source Type: research

EVT, neuroimaging lead to higher stroke care costs
Stroke treatment costs increased 4.9% between 2012 and 2019, driven by endovascula...Read more on AuntMinnie.comRelated Reading: Can machine learning plus CBCT predict blood leaks in stroke patients? How does work compare between academic, private interventionalists? CT shows efficacy of recanalization in stroke patients CT stroke assessment helps determine best treatment AI spots large vessel occlusions, predicts patient outcome
Source: AuntMinnie.com Headlines - November 9, 2022 Category: Radiology Source Type: news

Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI
CONCLUSIONS: The CNN was able to accurately predict thrombus RBC content using multiparametric MR images, and could provide a means to guide treatment strategy in acute ischemic stroke.PMID:36437762 | DOI:10.1177/15910199221140962
Source: Interventional Neuroradiology - November 28, 2022 Category: Radiology Authors: Spencer D Christiansen Junmin Liu Maria Bres Bullrich Manas Sharma Melfort Boulton Sachin K Pandey Luciano A Sposato Maria Drangova Source Type: research

Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model ADULT BRAIN
CONCLUSIONS: The proposed deep learning method can reliably detect and measure thrombi on NCCT and CTA in patients with acute ischemic stroke.
Source: American Journal of Neuroradiology - June 8, 2023 Category: Radiology Authors: Zhu, K., Bala, F., Zhang, J., Benali, F., Cimflova, P., Kim, B. J., McDonough, R., Singh, N., Hill, M. D., Goyal, M., Demchuk, A., Menon, B. K., Qiu, W. Tags: ADULT BRAIN Source Type: research

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