AIMC Topic: Hematoma

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A Comparative Study of a Nomogram and Machine Learning Models in Predicting Early Hematoma Expansion in Hypertensive Intracerebral Hemorrhage.

Academic radiology Jun 26, 2024
RATIONALE AND OBJECTIVES: Early identification for hematoma expansion can help improve patient outcomes. Presently, there are many methods to predict hematoma expansion. This study compared a variety of models to find a model suitable for clinical pr...
Nomograms Hematoma Intracranial Hemorrhage, Hypertensive Aged Tomography, X-Ray Computed Male Female Middle Aged Humans Machine Learning
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Machine learning for predicting hematoma expansion in spontaneous intracerebral hemorrhage: a systematic review and meta-analysis.

Neuroradiology Jun 12, 2024
PURPOSE: Early identification of hematoma enlargement and persistent hematoma expansion (HE) in patients with cerebral hemorrhage is increasingly crucial for determining clinical treatments. However, due to the lack of clinically effective tools, rad...
Disease Progression Cerebral Hemorrhage Predictive Value of Tests Hematoma Humans Machine Learning Tomography, X-Ray Computed
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Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial.

Journal of the neurological sciences May 12, 2024
INTRODUCTION: Hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH) is a key predictor of poor prognosis and potentially amenable to treatment. This study aimed to build a classification model to predict HE in patients with ICH usin...
Humans Cerebral Hemorrhage Antihypertensive Agents Hematoma Male Machine Learning Middle Aged Female Disease Progression Aged
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Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach.

Diagnostic and interventional radiology (Ankara, Turkey) Apr 24, 2024
PURPOSE: Spontaneous intracerebral hemorrhage (ICH) is the most severe form of stroke. The timely assessment of early hematoma enlargement and its proper treatment are of great significance in curbing the deterioration and improving the prognosis of ...
Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Deep Learning Cerebral Hemorrhage Hematoma Radiomics Male Middle Aged
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Prediction of Hematoma Expansion in Intracerebral Hemorrhage in 24 Hours by Machine Learning Algorithm.

World neurosurgery Feb 22, 2024
OBJECTIVE: The significance of noncontrast computer tomography (CT) image markers in predicting hematoma expansion (HE) following intracerebral hemorrhage (ICH) within different time intervals in the initial 24 hours after onset may be uncertain. Hen...
Hematoma Time Factors Cerebral Hemorrhage Humans Predictive Value of Tests Machine Learning Algorithms Male Female Middle Aged Retrospective Studies Aged Disease Progression Tomography, X-Ray Computed
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Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT.

Neuroradiology Feb 10, 2024
PURPOSE: To predict hematoma growth in intracerebral hemorrhage patients by combining clinical findings with non-contrast CT imaging features analyzed through deep learning.
Hematoma Humans Retrospective Studies Tomography, X-Ray Computed Deep Learning Cerebral Hemorrhage
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Hematoma expansion prediction: still navigating the intersection of deep learning and radiomics.

European radiology Jan 22, 2024
Deep Learning Humans Magnetic Resonance Imaging Tomography, X-Ray Computed Hematoma Radiomics
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Prognostication of Outcomes in Spontaneous Intracerebral Hemorrhage: A Propensity Score-Matched Analysis with Support Vector Machine.

World neurosurgery Nov 24, 2023
OBJECTIVE: The role of surgery in spontaneous intracerebral hemorrhage (SICH) remains controversial. We aimed to use explainable machine learning (ML) combined with propensity-score matching to investigate the effects of surgery and identify subgroup...
Humans Cerebral Hemorrhage Retrospective Studies Propensity Score Hematoma Treatment Outcome Support Vector Machine
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Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

European radiology Nov 8, 2023
OBJECTIVES: Aimed to develop a nomogram model based on deep learning features and radiomics features for the prediction of early hematoma expansion.
Middle Aged Humans Cerebral Hemorrhage Aged Deep Learning Radiomics Retrospective Studies Predictive Value of Tests Nomograms Male Hematoma Tomography, X-Ray Computed Female
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Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.

World neurosurgery Oct 26, 2023
OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with stereotactic drainage on prognosis of basal ganglia hypertensive intracerebral hemorrhage (HICH).
Intracranial Hemorrhage, Hypertensive Basal Ganglia Hemorrhage Robotics Hematoma Endoscopy Basal Ganglia Female Middle Aged Humans Infant, Newborn Treatment Outcome China Prognosis Adult Cerebral Hemorrhage Retrospective Studies Drainage
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