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Condition: Hemorrhagic Stroke
Education: Learning
Procedure: CT Scan

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Total 38 results found since Jan 2013.

Thrombolysis in acute stroke: ongoing challenges based on a tertiary hospital audit and comparisons with other Australian studies.
Conclusion The proportion of eligible stroke patients who receive tPA in a timely manner remains less than ideal at our centre. More accurate patient selection and reductions in treatment delays serve as targets for quality improvement efforts that have broad applicability.What is known about the topic? Stroke unit care and tPA thrombolysis are two proven strategies to improve outcome in patients with ischaemic stroke. Although the stroke unit is gaining momentum of growth in Australia (especially in Queensland), little improvement has been achieved in thrombolysis rate and timeliness of treatment delivery, and little is k...
Source: Australian Health Review - June 29, 2015 Category: Hospital Management Authors: Lau AH, Hall G, Scott IA, Williams M Tags: Aust Health Rev Source Type: research

Pregnancy-Related Stroke: A Review
Conclusions and Relevance Early recognition and management are integral in decreasing the morbidity and mortality associated with a stroke in pregnancy. Relevance Statement This study was an evidence-based review of stroke in pregnancy and how to diagnose and mange a pregnancy complicated by a stroke. Target Audience Obstetricians and gynecologist, family physicians Learning Objectives After completing this learning activity, the participant should be better able to identify the pregnancy-related risk factors for a stroke; explain the presenting signs and symptoms of a stroke in pregnancy; describe...
Source: Obstetrical and Gynecological Survey - June 1, 2022 Category: OBGYN Tags: CME ARTICLES Source Type: research

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.
Source: Frontiers in Neurology - September 27, 2021 Category: Neurology Source Type: research

Using stroke thrombolysis to describe the role of repetition in learning a cognitive skill
ConclusionsAccruing sufficient experience of a new cognitive clinical skill can be challenging for independent physicians, with expertise gradually emerging in a largely linear fashion only after much repetition.
Source: Medical Education - January 26, 2016 Category: Universities & Medical Training Authors: Christopher A K Y Chong Tags: Repetition ‐Based Learning Source Type: research

I Never Thought Stroke Would Happen to Me
by Myra Wilson, Stroke Survivor On November 3, 2014, I was in nursing school working as a student nurse at a hospital in Seattle. My first sign that something was not quite right was when I was walking through the nursing station and both of my eyes went blurry. I could still see color but I couldn't see letters. It was blurry for about 30 seconds before clearing up again. I was going to lunch and went to give a report to another nurse. The nurse noticed while I was speaking that I slurred my speech. I didn't notice my speech was slurred at all. It was at that time that I experienced a sudden sharp pain on the right s...
Source: Healthy Living - The Huffington Post - May 13, 2016 Category: Consumer Health News Source Type: news

Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images
In this study, we propose an automated transfer deep learning method that combines ResNet-50 and dense layer for accurate prediction of intracranial hemorrhage on NCCT brain images. A total of 1164 NCCT brain images were collected from 62 patients with hemorrhagic stroke from Kalinga Institute of Medical Science, Bhubaneswar and used for evaluating the model. The proposed model takes individual CT images as input and classifies them as hemorrhagic or normal. This deep transfer learning approach reached 99.6% accuracy, 99.7% specificity, and 99.4% sensitivity which are better results than that of ResNet-50 only. It is evide...
Source: Computational and Mathematical Methods in Medicine - April 26, 2022 Category: Statistics Authors: B Nageswara Rao Sudhansu Mohanty Kamal Sen U Rajendra Acharya Kang Hao Cheong Sukanta Sabut Source Type: research

Cerebral Venous Thrombosis Mimicking Acute Ischemic Stroke in the Emergency Assessment of Thrombolysis Eligibility: Learning from a Misdiagnosed Case
CONCLUSION: Patients with CVT have a higher risk of thrombolysis-related intracranial hemorrhage than other stroke mimics. A greater focus on noncontrast brain CT and the venous phase of CT angiography help identifying this stroke mimic before thrombolysis.PMID:34841501
Source: Acta Neurologica Taiwanica - November 29, 2021 Category: Neurology Authors: Po-Yu Lin Ying-Chen Chen Yuan-Ting Sun Source Type: research