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A clinical –radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study
ConclusionThe proposed clinical –radiomics model is a dependable approach that could provide risk assessment of HT for patients who receive IVT after stroke.
Source: Insights into Imaging - March 29, 2023 Category: Radiology Source Type: research

MRI for all: Cheap portable scanners aim to revolutionize medical imaging
.news-article__hero--featured .parallax__element{ object-position: 47% 50%; -o-object-position: 47% 50%; } The patient, a man in his 70s with a shock of silver hair, lies in the neuro intensive care unit (neuro ICU) at Yale New Haven Hospital. Looking at him, you’d never know that a few days earlier a tumor was removed from his pituitary gland. The operation didn’t leave a mark because, as is standard, surgeons reached the tumor through his nose. He chats cheerfully with a pair of research associates who have come to check his progress with a new and potentially revolutionary device they are testing. The cylind...
Source: Science of Aging Knowledge Environment - February 23, 2023 Category: Geriatrics Source Type: research

Machine learning prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis: a cross-cultural validation in Caucasian and Han Chinese cohort
CONCLUSION: The established SVM model is feasible for predicting the risk of sICH after thrombolysis quickly and efficiently in both Caucasian and Han Chinese cohort.PMID:36225969 | PMC:PMC9549180 | DOI:10.1177/17562864221129380
Source: Adv Data - October 13, 2022 Category: Epidemiology Authors: Junfeng Liu Xinyue Chen Xiaonan Guo Renjie Xu Yanan Wang Ming Liu Source Type: research

Radiomics-based prediction of hemorrhage expansion among patients with thrombolysis/thrombectomy related-hemorrhagic transformation using machine learning
CONCLUSIONS: The currently established NECT-based radiomic score is valuable in predicting hemorrhage expansion after HT among patients treated with reperfusion treatment after ischemic stroke, which may aid clinicians in determining patients with HT who are most likely to benefit from anti-expansion treatment.PMID:35173809 | PMC:PMC8842178 | DOI:10.1177/17562864211060029
Source: Adv Data - February 17, 2022 Category: Epidemiology Authors: Junfeng Liu Wendan Tao Zhetao Wang Xinyue Chen Bo Wu Ming Liu Source Type: research

CT-based radiomics for differentiating intracranial contrast extravasation from intraparenchymal haemorrhage after mechanical thrombectomy
ConclusionsThe radiomic signature constructed based on initial post-operative nonenhanced CT after mechanical thrombectomy can effectively differentiate IPH from iodinated contrast extravasation.Key Points•Radiomic features were extracted from intraparenchymal areas of hyperattenuation on initial post-operative CT scans after mechanical thrombectomy.•The nonenhanced CT-based radiomic signature can differentiate IPH from iodinated contrast extravasation early.•The radiomic signature may help prevent unnecessary rescanning after mechanical thrombectomy, especially in cases where contrast extravasation is highly suggestive.
Source: European Radiology - February 3, 2022 Category: Radiology 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

3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials
AbstractIntracranial hemorrhage (ICH) occurs when a blood vessel ruptures in the brain. This leads to significant morbidity and mortality, the likelihood of which is predicated on the size of the bleeding event. X-ray computed tomography (CT) scans allow clinicians and researchers to qualitatively and quantitatively diagnose hemorrhagic stroke, guide interventions and determine inclusion criteria of patients in clinical trials. There is no currently available open source, validated tool to quickly segment hemorrhage. Using an automated pipeline and 2D and 3D deep neural networks, we show that we can quickly and accurately ...
Source: Neuroinformatics - September 26, 2020 Category: Neuroscience Source Type: research

Samsung ’ s NeuroLogica, MaxQ AI ink collab distro deal
Samsung Electronics (LON:BC94) subsidiary NeuroLogica said today that it inked a distribution deal with MaxQ AI to integrate its artificial intelligence software with NeuroLogica’s medical imaging tech in the U.S. and EU’s acute care marketplace. Through the deal, NeuroLogica said that it will offer MaxQ’s Accipio IX, part of the AI-company’s FDA-cleared and CE Mark approved Accipio Insight intracranial hemorrhage platform intended to support acute care physicians by identifying patients with suspected intracranial hemorrhage using non-contrast head computed tomography imaging. “We are honore...
Source: Mass Device - November 20, 2018 Category: Medical Devices Authors: Fink Densford Tags: Business/Financial News Distribution Imaging Neurological Software / IT maxqai NeuroLogica Corp. samsung Source Type: news

Letter to the Editor: Pneumocephalus: Is the needle size significant?
Discussion. Pneumocephalus is defined by two mechanisms: a ball-valve and an inverted bottle concept.1 The ball-valve type implies positive pressure events, such as coughing or valsalva maneuvers, that prevent air escape. Tension pneumocephalus is included in this mechanism, causing a parenchymal mass effect. The inverted bottle theory includes a negative intracranial pressure gradient following cerebrospinal fluid drainage, relieved by air influx. A small pneumocephalus is usually sealed by blood clots or granulation, allowing spontaneous reabsorption and resolution.[1] Otherwise, the lateral positioning of a patient duri...
Source: Innovations in Clinical Neuroscience - February 1, 2018 Category: Neuroscience Authors: ICN Online Editor Tags: Assessment Tools CNS Infections Current Issue Letters to the Editor Neurologic Systems and Symptoms Neurology Stroke Traumatic Brain Injury epidural needle size Pneumocephalus spinal tap Source Type: research

Impact of Asynchronous Training on Radiology Learning Curve among Emergency Medicine Residents and Clerkship Students.
CONCLUSION: Incorporating asynchronous WBL modules into EM clerkship and residency curriculum provides early radiographic exposure in their clinical training and can enhance diagnostic head CT scan interpretation. PMID: 29272248 [PubMed - in process]
Source: The Permanente journal - December 24, 2017 Category: General Medicine Tags: Perm J 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

Identification of Acute Stroke Using Quantified Brain Electrical Activity
ConclusionsDespite a small population and the use of a classifier without the benefit of training on a stroke population, these data suggest that a rapidly acquired, easy‐to‐use system to assess brain electrical activity at the time of evaluation of acute stroke could be a valuable adjunct to current clinical practice.
Source: Academic Emergency Medicine - January 6, 2015 Category: Emergency Medicine Authors: Edward A. Michelson, Daniel Hanley, Robert Chabot, Leslie S. Prichep Tags: Original Contribution Source Type: research

Identification of acute stroke using quantified brain electrical activity.
CONCLUSIONS: Despite a small population and the use of a classifier without the benefit of training on a stroke population, these data suggest that a rapidly acquired, easy-to-use system to assess brain electrical activity at the time of evaluation of acute stroke could be a valuable adjunct to current clinical practice. PMID: 25565489 [PubMed - in process]
Source: Accident and Emergency Nursing - January 1, 2015 Category: Emergency Medicine Authors: Michelson EA, Hanley D, Chabot R, Prichep LS Tags: Acad Emerg Med Source Type: research

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