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Condition: Hemorrhagic Stroke
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Total 196 results found since Jan 2013.

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

Janssen to Present the Strength and Promise of its Hematologic Malignancies Portfolio and Pipeline at ASH 2021
RARITAN, N.J., November 4, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that more than 45 company-sponsored abstracts, including 11 oral presentations, plus more than 35 investigator-initiated studies will be featured at the American Society of Hematology (ASH) Annual Meeting and Exposition. ASH is taking place at the Georgia World Congress Center in Atlanta and virtually from December 11-14, 2021.“We are committed to advancing the science and treatment of hematologic malignancies and look forward to presenting the latest research from our robust portfolio and pipeline during ASH...
Source: Johnson and Johnson - November 5, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

CT radiomics helps predict spontaneous intracerebral hemorrhage
CT radiomics and a machine-learning model can predict hematoma expansion i...Read more on AuntMinnie.comRelated Reading: Portable MRI helps clarify stroke symptoms more quickly MIDRC offers support for COVID-19 AI AI detection of intracranial hemorrhage saves lives Study confirms viability of low-field MRI for ICH AI software bests Chinese physicians in contest
Source: AuntMinnie.com Headlines - October 18, 2021 Category: Radiology Source Type: news

Intracerebral Hemorrhage
This article summarizes the basic pathophysiology, classification, and management of ICH and discusses the available evidence on therapy for hematoma, hematoma expansion, and perihematomal edema. RECENT FINDINGS Current available data on potential therapeutic options for ICH are promising, although none of the trials have shown improvement in mortality rate. The literature available on reversal of anticoagulation and antiplatelet agents after an ICH and resumption of these medications is also increasing. SUMMARY ICH continues to have high morbidity and mortality. Advances in therapeutic options to target seco...
Source: CONTINUUM: Lifelong Learning in Neurology - October 1, 2021 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

Acute Neurologic Manifestations of Respiratory Viruses
This article describes the most common respiratory viruses that have neurologic manifestations, with a focus on SARS-CoV-2 and COVID-19. RECENT FINDINGS In vitro and in vivo studies have better elucidated the neurotropism of various respiratory viruses. Understanding host cell receptors that mediate viral binding and entry not only demonstrates how viruses enter host cells but also provides possible mechanisms for therapeutic interventions. Elucidation of SARS-CoV-2 binding and fusion with host cells expressing the angiotensin-converting enzyme 2 (ACE2) receptor may also provide greater insights into its systemic an...
Source: CONTINUUM: Lifelong Learning in Neurology - October 1, 2021 Category: Neurology Tags: REVIEW 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

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