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Vascular Remodeling

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Aortic remodeling after hybrid provisional extension to induce complete attachment aortic repair of chronic residual type I aortic dissection.

The Journal of thoracic and cardiovascular surgery 30773384
OBJECTIVES: Our objective was to examine the role of the provisional extension to induce complete attachment (PETTICOAT) aortic dissection repair technique with bare metal stents (BMSs) in abdominal remodeling of residual DeBakey type I aortic dissec...
Aged Aorta, Abdominal Aorta, Thoracic Aortic Aneurysm, Thoracic Aortic Dissection Blood Vessel Prosthesis Implantation Chronic Disease Endovascular Procedures Female Humans Male Middle Aged Retrospective Studies Stents Time Factors Treatment Outcome Vascular Remodeling
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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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Atherosclerotic Burden and Remodeling Patterns of the Popliteal Artery as Detected in the Magnetic Resonance Imaging Osteoarthritis Initiative Data Set.

Journal of the American Heart Association 33998279
Background An artificial intelligence vessel segmentation tool, Fully Automated and Robust Analysis Technique for Popliteal Artery Evaluation (FRAPPE), was used to analyze a large databank of popliteal arteries imaged through the OAI (Osteoarthritis ...
Aged Artificial Intelligence Atherosclerosis Female Humans Magnetic Resonance Imaging Male Middle Aged Osteoarthritis Popliteal Artery Prospective Studies Vascular Remodeling
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Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology 34380331
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...
Animals Arteries Atherosclerosis Deep Learning Diagnosis, Computer-Assisted Disease Models, Animal Female Image Interpretation, Computer-Assisted Male Mice Mice, Inbred C57BL Mice, Knockout, ApoE Microscopy Plaque, Atherosclerotic Predictive Value of Tests Reproducibility of Results Severity of Illness Index Software Staining and Labeling Vascular Remodeling
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Automated detection of vascular remodeling in tumor-draining lymph nodes by the deep-learning tool HEV-finder.

The Journal of pathology 35696253
Vascular remodeling is common in human cancer and has potential as future biomarkers for prediction of disease progression and tumor immunity status. It can also affect metastatic sites, including the tumor-draining lymph nodes (TDLNs). Dilation of t...
Breast Neoplasms Deep Learning Female Humans Lymph Nodes Vascular Remodeling Venules
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Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists 36927177
PURPOSE: This study aimed to develop a deep learning model for predicting distal aortic remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD) using computed tomography angiogra...
Adult Aged Aorta, Thoracic Aortic Aneurysm, Thoracic Aortic Dissection Aortography Blood Vessel Prosthesis Implantation Computed Tomography Angiography Decision Support Techniques Deep Learning Endovascular Aneurysm Repair Endovascular Procedures Female Humans Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Risk Factors Time Factors Treatment Outcome Vascular Remodeling
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Utilizing Machine Learning Techniques to Predict Negative Remodeling in Uncomplicated Type B Intramural Hematoma.

Annals of vascular surgery 40054615
BACKGROUND: To evaluate the effectiveness of machine learning (ML) techniques in predicting negative remodeling in uncomplicated Stanford type B intramural hematoma (IMHB) during the acute phase.
Aged Aortic Diseases Female Hematoma Humans Machine Learning Male Middle Aged Predictive Value of Tests Retrospective Studies Risk Assessment Risk Factors Vascular Remodeling
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