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Condition: Hemorrhagic Stroke
Education: Training

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Total 247 results found since Jan 2013.

EEG-Based Evidence of Mirror Neuron Activity from App-Mediated Stroke Patient Observation
Conclusions: These findings reveal that the human mirror neuron system was more strongly activated during observation of actions closely related to daily life activities than landscape images.PMID:34577902 | PMC:PMC8471865 | DOI:10.3390/medicina57090979
Source: Medicina (Kaunas) - September 28, 2021 Category: Universities & Medical Training Authors: Jin-Cheol Kim Hyun-Min Lee Source Type: research

The Progress of the Gait Impairment and Brain Activation in a Patient with Post-stroke Hemidystonia
CONCLUSION: These results suggest that there was improvement of the patient's symptoms of post-stroke hemidystonia due to changes in the brain activity during voluntary movement after BWS intervention. Body weight-supported treadmill training may thus be an effective treatment for patients with poststroke hemidystonia.PMID:34532214 | PMC:PMC8419483 | DOI:10.1298/ptr.E10032
Source: Physical Therapy - September 17, 2021 Category: Physiotherapy Authors: Satoshi Yamamoto Daisuke Ishii Kyoko Kanae Yusuke Endo Kenichi Yoshikawa Kazunori Koseki Ryo Nakazawa Hanako Takano Masahiko Monma Arito Yozu Akira Matsushita Yutaka Kohno Source Type: research

Development of Machine Learning Models to Predict Probabilities and Types of Stroke at Prehospital Stage: the Japan Urgent Stroke Triage Score Using Machine Learning (JUST-ML)
AbstractIn conjunction with recent advancements in machine learning (ML), such technologies have been applied in various fields owing to their high predictive performance. We tried to develop prehospital stroke scale with ML. We conducted multi-center retrospective and prospective cohort study. The training cohort had eight centers in Japan from June 2015 to March 2018, and the test cohort had 13 centers from April 2019 to March 2020. We use the three different ML algorithms (logistic regression, random forests, XGBoost) to develop models. Main outcomes were large vessel occlusion (LVO), intracranial hemorrhage (ICH), suba...
Source: Translational Stroke Research - August 14, 2021 Category: Neurology Source Type: research

Machine Learning-Enabled Determination of Diffuseness of Brain Arteriovenous Malformations from Magnetic Resonance Angiography
AbstractThe diffuseness of brain arteriovenous malformations (bAVMs) is a significant factor in surgical outcome evaluation and hemorrhagic risk prediction. However, there are still predicaments in identifying diffuseness, such as the judging variety resulting from different experience and difficulties in quantification. The purpose of this study was to develop a machine learning (ML) model to automatically identify the diffuseness of bAVM niduses using three-dimensional (3D) time-of-flight magnetic resonance angiography (TOF-MRA) images. A total of 635 patients with bAVMs who underwent TOF-MRA imaging were enrolled. Three...
Source: Translational Stroke Research - August 12, 2021 Category: Neurology Source Type: research

A Clinical-Radiomics Nomogram for Functional Outcome Predictions in Ischemic Stroke
ConclusionThis novel noninvasive clinical-radiomics nomogram shows good performance in predicting ischemic stroke prognosis.
Source: Neurology and Therapy - June 25, 2021 Category: Neurology Source Type: research

Predictive value of admission neutrophil/lymphocyte ratio in symptomatic intracranial hemorrhage after stroke thrombolysis
ConclusionFor predicting SICH, NLR did not provide strong specificity and sensitivity. A precise cut-off value could not be found to predict the hemorrhagic transformation.
Source: Neurological Sciences - May 21, 2021 Category: Neurology Source Type: research

Development and Validation of a Nomogram to Predict the Individual Future Stroke Risk for Adult Patients With Moyamoya Disease: A Multicenter Retrospective Cohort Study in China
Conclusions: We developed a novel nomogram incorporating several clinical characteristics with relatively good accuracy, which may have considerable potential for evaluating individual future stroke risk and providing useful management recommendations for adult patients with MMD in clinical practice.
Source: Frontiers in Neurology - May 13, 2021 Category: Neurology Source Type: research

Association Between Ultrasound Parameters and History of Ischemic or Hemorrhagic Stroke in Patients With Moyamoya Disease
Conclusions: Ultrasound parameters of EICA and PCA are independently associated with history of previous ipsilateral ischemic or hemorrhagic stroke in patients with MMD. The present ultrasound-based nomogram might provide information to identify MMD patients with high risk of stroke. Future long-term follow-up studies are needed to prove the predictive value in other independent cohorts.Clinical Trial Registration:http://www.chictr.org.cn/index.aspx. Unique Identifier: ChiCTR1900026075.
Source: Frontiers in Neurology - February 15, 2021 Category: Neurology Source Type: research

Early physical rehabilitation vs standard care for intracerebral hemorrhage stroke: A protocol for systematic review and meta-analysis
Background: The intracerebral hemorrhagic stroke (ICH) is associated with high mortality and severe disability in survivors, which causing about 42% of the disability-adjusted life years lost and 50% of all stroke patients dead within 1 year. Although early functional training is recommended to facility rehabilitation after the stroke, the benefit and safety are still controversial. Introduction: This systematic review aims to investigate whether early physical rehabilitation could have a beneficial effect for the patients with ICH compared with standard rehabilitation care. Methods and analysis: Pubmed, ...
Source: Medicine - January 22, 2021 Category: Internal Medicine Tags: Research Article: Study Protocol Systematic Review Source Type: research

Is This Contrast? Is This Blood? An Agreement Study on Post-thrombectomy Computed Tomography Scans
Conclusion: Physician judgment for the presence of blood and/or contrast on day-1 post-thrombectomy non-contrast CT scan shows limited inter-observer reliability. Advanced imaging modalities may then be warranted for challenging clinical cases.
Source: Frontiers in Neurology - December 22, 2020 Category: Neurology Source Type: research

Deep Learning-Based Screening Test for Cognitive Impairment Using Basic Blood Test Data for Health Examination
Conclusions: The DNN model could predict cognitive function accurately. The predicted MMSE scores were significantly lower than the ground truth scores in the Healthy and Health examination groups, while there was no significant difference in the Patient group. We suggest that the difference between the predicted and ground truth MMSE scores was caused by changes in atherosclerosis with aging, and that applying the DNN model to younger subjects may predict future cognitive impairment after the onset of atherosclerosis.
Source: Frontiers in Neurology - December 14, 2020 Category: Neurology Source Type: research