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Total 112 results found since Jan 2013.

Boosted Tree Model Reforms Multimodal Magnetic Resonance Imaging Infarct Prediction in Acute Stroke Clinical Sciences
Background and Purpose—Stroke imaging is pivotal for diagnosis and stratification of patients with acute ischemic stroke to treatment. The potential of combining multimodal information into reliable estimates of outcome learning calls for robust machine learning techniques with high flexibility and accuracy. We applied the novel extreme gradient boosting algorithm for multimodal magnetic resonance imaging–based infarct prediction.Methods—In a retrospective analysis of 195 patients with acute ischemic stroke, fluid-attenuated inversion recovery, diffusion-weighted imaging, and 10 perfusion parameters were derived from...
Source: Stroke - March 26, 2018 Category: Neurology Authors: Michelle Livne, Jens K. Boldsen, Irene K. Mikkelsen, Jochen B. Fiebach, Jan Sobesky, Kim Mouridsen Tags: Magnetic Resonance Imaging (MRI), Ischemic Stroke Original Contributions Source Type: research

Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning Clinical Sciences
Background and Purpose—Treatment options for patients with acute ischemic stroke depend on the volume of salvageable tissue. This volume assessment is currently based on fixed thresholds and single imagine modalities, limiting accuracy. We wish to develop and validate a predictive model capable of automatically identifying and combining acute imaging features to accurately predict final lesion volume.Methods—Using acute magnetic resonance imaging, we developed and trained a deep convolutional neural network (CNNdeep) to predict final imaging outcome. A total of 222 patients were included, of which 187 were treated with...
Source: Stroke - May 25, 2018 Category: Neurology Authors: Anne Nielsen, Mikkel Bo Hansen, Anna Tietze, Kim Mouridsen Tags: Magnetic Resonance Imaging (MRI), Treatment, Quality and Outcomes, Statements and Guidelines, Ischemic Stroke Original Contributions Source Type: research

Initial Experience with Upfront Arterial and Perfusion Imaging among Ischemic Stroke Patients Presenting within the 4.5-hour Time Window
Conclusions: An upfront CTA/CTP protocol aided stroke team decision-making in nearly half of cases. Implementation of a CTA/CTP protocol was associated with a learning curve of 6 months before door to needle time ≤60 minutes returned to similar rates as the pre-CTA/CTP protocol.
Source: Journal of Stroke and Cerebrovascular Diseases - January 24, 2013 Category: Neurology Authors: Ali Reza Noorian, Katja Bryant, Ashley Aiken, Andrew D. Nicholson, Adam B. Edwards, Mason P. Markowski, Seena Dehkharghani, Jemisha C. Bouloute, Jacquelyn Abney, Fadi Nahab Tags: Original Articles Source Type: research

Image level detection of large vessel occlusion on 4D-CTA perfusion data using deep learning in acute stroke
Acute ischemic stroke (AIS) secondary to LVOs represent approximately 30-40% of all stroke cases and are associated with disproportionately higher morbidity and mortality.1, 2 The importance of endovascular thrombectomy (EVT) in patients with acute ischemic stroke (AIS) has been well established in multiple randomized controlled trials for patients in both early and late stroke windows.3-6 A critical aspect of the patient triage is the accurate and timely detection of underlying large vessel occlusion (LVO).
Source: Journal of Stroke and Cerebrovascular Diseases - September 10, 2022 Category: Neurology Authors: Girish Bathla, Dhruba Durjoy, Sarv Priya, Edgar Samaniego, Colin P. Derdeyn Source Type: research

Collateral-Core Ratio as a Novel Predictor of Clinical Outcomes in Acute Ischemic Stroke
AbstractThe interaction effect between collateral circulation and ischemic core size on stroke outcomes has been highlighted in acute ischemic stroke (AIS). However, biomarkers that assess the magnitude of this interaction are still lacking. We aimed to present a new imaging marker, the collateral-core ratio (CCR), to quantify the interaction effect between these factors and evaluate its ability to predict functional outcomes using machine learning (ML) in AIS. Patients with AIS caused by anterior circulation large vessel occlusion (LVO) were recruited from a prospective multicenter study. CCR was calculated as collateral ...
Source: Translational Stroke Research - July 25, 2022 Category: Neurology Source Type: research

A Deep Learning-Based Automatic Collateral Assessment in Patients with Acute Ischemic Stroke
This study aimed to develop a supervised deep learning (DL) model for grading collateral status from dynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) images from patients with large vessel occlusion (LVO) acute ischemic stroke (AIS) and compare its performance against experts ’ manual grading. Among consecutive LVO-AIS at three medical center sites, DSC-MRP data were processed to generate collateral flow maps consisting of arterial, capillary, and venous phases. With the use of expert readings as a reference, a DL model was developed to analyze collateral status with o utput classified into good and...
Source: Translational Stroke Research - May 21, 2022 Category: Neurology Source Type: research

Endovascular Treatment of Acute Ischemic Stroke
This article reviews the actual indications for mechanical thrombectomy in patients with acute ischemic stroke and how the opportunities for endovascular therapy can be expanded by using the concept of clinical-imaging or perfusion-imaging mismatch (as a surrogate for salvageable tissue) rather than time of ischemia. RECENT FINDINGS Six randomized controlled trials undoubtedly confirmed the benefits of using endovascular thrombectomy on the clinical outcome of patients with stroke with large vessel occlusion within 6 hours from symptom onset compared with those receiving only standard medical care. In a meta-analysis of...
Source: CONTINUUM: Lifelong Learning in Neurology - April 1, 2020 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

Neuroimaging in Acute Stroke
This article describes how imaging can be used by physicians in diagnosing, determining prognosis, and making appropriate treatment decisions in a timely manner in patients with acute stroke. RECENT FINDINGS Advances in acute stroke treatment, including the use of endovascular thrombectomy in patients with large vessel occlusion and, more recently, of IV thrombolysis in an extended time window, have resulted in a paradigm shift in how imaging is used in patients with acute stroke. This paradigm shift, combined with the understanding that “time is brain,” means that imaging must be fast, reliable, and available aroun...
Source: CONTINUUM: Lifelong Learning in Neurology - April 1, 2020 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

Effects of Repetitive Peripheral Sensory Stimulation in the Subacute and Chronic Phases After Stroke: Study Protocol for a Pilot Randomized Trial
DiscussionThe results of this study are relevant to inform future clinical trials to tailor RPSS to patients more likely to benefit from this intervention.Trial RegistrationNCT03956407.
Source: Frontiers in Neurology - February 16, 2022 Category: Neurology Source Type: research

Reply to “The effects of functional electrical stimulation on upper extremity function and cortical plasticity in chronic stroke patients”
I appreciate the very important and developed suggestions by Dr. Cecatto for our article (). The proposals on the reasons why EMG-controlled FES (EMG–FES) could shift the brain hemispheric-dominant perfusion in our study provided our study further development and progress. The motor output and corresponding muscle and joint proprioceptive feedback may be tightly coupled and coordinated with movement by EMG–FES. As Dr. Cecatto proposed, these neural reorganisation mechanisms should be explored. The sensory components of large afferent fibre activation, proprioceptive input and increased cognitive sensory attention are a...
Source: Clinical Neurophysiology - February 10, 2014 Category: Neuroscience Authors: Yukihiro Hara Tags: Letters to the Editor Source Type: research

Endovascular Stroke Therapy Results Improve over Time: The ‘Learning Curve' at a New Comprehensive Stoke Center
Conclusions: At a new community-based CSC, improved outcome occurred from year 1 to year 2, and trends towards decreased mortality, fewer complications, and improved revascularization were observed. Furthermore, the data shows that improvement in NIHSS score after EST is associated with decreased mortality following stroke in this setting, implying a net benefit.Cerebrovasc Dis Extra 2014;4:235-242
Source: Cerebrovascular Diseases Extra - January 13, 2015 Category: Neurology Source Type: research

CT matches MRI for late-window stroke evaluation
Stroke patients who underwent endovascular therapy had similar improvement...Read more on AuntMinnie.comRelated Reading: Machine learning can predict stroke treatment outcomes Study reveals steep cost of delaying stroke treatment 3 CTA signs show which stroke patients can skip surgery Perfusion imaging expands window for stroke treatment CTA helps direct use of clot removal for stroke patients
Source: AuntMinnie.com Headlines - February 6, 2019 Category: Radiology Source Type: news

Japan approves iSchemaView ’ s Rapid stroke imaging device
iSchemaView today announced that it received registration approval in Japan for its Rapid imaging platform. The company received registration approval through the Japanese Pharmaceutical Affairs Law and through a third party review by the Japanese Assn. for the Advancement of Medical Equipment for the Rapid imaging platform. Rapid is designed to give physicians a fast, fully automated and easy-to-interpret imaging system that can help doctors make clinical decisions about stroke. “Stroke remains the fourth most common cause of death in Japan, and as the population ages, stroke is likely to become an increasing health...
Source: Mass Device - July 8, 2019 Category: Medical Devices Authors: Danielle Kirsh Tags: Cardiovascular Hospital Care Imaging ischemaview Source Type: news

Automated prediction of final infarct volume in patients with large-vessel occlusion acute ischemic stroke
CONCLUSIONS: In a cohort of patients with LVO AIS in whom reperfusion was achieved, determinations of infarct core at presentation by NCHCT-ASPECTS and a machine learning model analyzing CTA source images were equivalent to CTP in predicting FIV. These findings have suggested that the information to accurately predict infarct core in patients with LVO AIS was present in conventional imaging modalities (NCHCT and CTA) and accessible by machine learning methods.PMID:34198252 | DOI:10.3171/2021.4.FOCUS21134
Source: Neurosurgical Focus - July 1, 2021 Category: Neurosurgery Authors: Rania Abdelkhaleq Youngran Kim Swapnil Khose Peter Kan Sergio Salazar-Marioni Luca Giancardo Sunil A Sheth Source Type: research