AIMC Topic: Reperfusion

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Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter Study.

Academic radiology Oct 28, 2024
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications in patients with acute ischemic stroke (AIS) following reperfusion therapy. The purpose of this study is to develop and validate deep learning (DL) mod...
Aged Male Middle Aged Tomography, X-Ray Computed Female Stroke Reperfusion Computed Tomography Angiography Deep Learning Cerebral Hemorrhage Ischemic Stroke Humans Retrospective Studies
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Development and validation of outcome prediction model for reperfusion therapy in acute ischemic stroke using nomogram and machine learning.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Jan 26, 2024
OBJECTIVE: To develop logistic regression nomogram and machine learning (ML)-based models to predict 3-month unfavorable functional outcome for acute ischemic stroke (AIS) patients undergoing reperfusion therapy.
Machine Learning Prospective Studies Prognosis Humans Treatment Outcome Ischemic Stroke Thrombolytic Therapy Reperfusion Male Middle Aged Nomograms Female Aged
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Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Jun 23, 2021
Machine Learning (ML) has been proposed for tissue fate prediction after acute ischemic stroke (AIS), with the aim to help treatment decision and patient management. We compared three different ML models to the clinical method based on diffusion-perf...
Predictive Value of Tests Ischemic Stroke Reperfusion Middle Aged Follow-Up Studies Diffusion Magnetic Resonance Imaging Infarction Clinical Decision-Making Female Aged Aged, 80 and over Male Brain Prognosis Retrospective Studies Humans Machine Learning
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A Machine Learning Approach to First Pass Reperfusion in Mechanical Thrombectomy: Prediction and Feature Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 19, 2021
INTRODUCTION: Novel machine learning (ML) methods are being investigated across medicine for their predictive capabilities while boasting increased adaptability and generalizability. In our study, we compare logistic regression with machine learning ...
Risk Assessment Female Humans Risk Factors Treatment Outcome Machine Learning Reperfusion Ischemic Stroke Male Retrospective Studies Thrombectomy Cerebrovascular Circulation
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Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke.

AJNR. American journal of neuroradiology Mar 25, 2021
BACKGROUND AND PURPOSE: In acute stroke patients with large vessel occlusions, it would be helpful to be able to predict the difference in the size and location of the final infarct based on the outcome of reperfusion therapy. Our aim was to demonstr...
Deep Learning Stroke Brain Ischemia Reperfusion Diffusion Magnetic Resonance Imaging Aged Male Middle Aged Humans Female
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Impact of the reperfusion status for predicting the final stroke infarct using deep learning.

NeuroImage. Clinical Dec 25, 2020
BACKGROUND: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion status into deep learning models would improve their performance, and...
Humans Reperfusion Diffusion Magnetic Resonance Imaging Infarction Deep Learning Stroke Brain Ischemia
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Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.

IEEE transactions on bio-medical engineering Dec 20, 2017
OBJECTIVE: Hemorrhagic transformation (HT) is the most severe complication of reperfusion therapy in acute ischemic stroke (AIS) patients. Management of AIS patients could benefit from accurate prediction of upcoming HT. While prediction of HT occurr...
Magnetic Resonance Angiography Reperfusion Image Interpretation, Computer-Assisted Endovascular Procedures Aged, 80 and over Machine Learning Humans Middle Aged Female Male Cerebral Hemorrhage Neural Networks, Computer Aged Stroke
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