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Aortic Rupture

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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery 25953014
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Age Factors Aged Aged, 80 and over Algorithms Aortic Aneurysm, Abdominal Aortic Rupture Area Under Curve Blood Vessel Prosthesis Implantation Databases, Factual Decision Support Techniques Endovascular Procedures Female Heart Arrest Hospital Mortality Humans Logistic Models Male Middle Aged Multivariate Analysis Neural Networks, Computer Odds Ratio Predictive Value of Tests Retrospective Studies Risk Assessment Risk Factors ROC Curve Shock Tennessee Time Factors Treatment Outcome Unconsciousness
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Artificial neural network for prediction of in-hospital mortality after open repair of ruptured abdominal aortic aneurysm.

The Journal of cardiovascular surgery 28696083
Aged Aged, 80 and over Aortic Aneurysm, Abdominal Aortic Rupture Databases, Factual Decision Support Techniques Female Health Status Hospital Mortality Humans Male Middle Aged Neural Networks, Computer Predictive Value of Tests Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome Vascular Surgical Procedures
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Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Journal of digital imaging 31515752
Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our national radiology practice receives dozens of these cases each month, but no automated process is currently available to check for critical pathologi...
Aorta Aortic Dissection Aortic Rupture Contrast Media Female Humans Male Middle Aged Neural Networks, Computer Prospective Studies Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery 33823266
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Adult Aged Aorta Aortic Aneurysm, Thoracic Aortic Dissection Aortic Rupture Blood Vessel Prosthesis Implantation Clinical Decision-Making Decision Support Techniques Dilatation, Pathologic Electronic Health Records Endovascular Procedures Female Humans Male Middle Aged Neural Networks, Computer Retrospective Studies Risk Assessment Risk Factors Support Vector Machine Time Factors Treatment Outcome Vascular Remodeling
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Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Scientific reports 34508118
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diam...
Algorithms Aorta, Abdominal Aortic Aneurysm, Abdominal Aortic Rupture Area Under Curve Biomechanical Phenomena Clinical Decision-Making Computed Tomography Angiography Disease Management Humans Machine Learning Models, Cardiovascular Prognosis ROC Curve Tomography, X-Ray Computed
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CT analysis of aortic calcifications to predict abdominal aortic aneurysm rupture.

European radiology 37999728
BACKGROUND: Abdominal aortic aneurysm (AAA) rupture prediction based on sex and diameter could be improved. The goal was to assess whether aortic calcification distribution could better predict AAA rupture through machine learning and LASSO regressio...
Aged Aged, 80 and over Aorta, Abdominal Aortic Aneurysm, Abdominal Aortic Rupture Female Humans Machine Learning Male Predictive Value of Tests Retrospective Studies Tomography, X-Ray Computed Vascular Calcification
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery 39577479
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Aged Aged, 80 and over Aortic Aneurysm, Abdominal Aortic Rupture Aortography Artificial Intelligence Case-Control Studies Computed Tomography Angiography Decision Support Techniques Decision Trees Denmark Female Humans Male Middle Aged Predictive Value of Tests Prognosis Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors
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