ArticleAnnals of biomedical engineering2018
Decision Tree Based Classification of Abdominal Aortic Aneurysms Using Geometry Quantification Measures.
Article in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 29 citations in OpenAlex.
- New Trends of Personalized Medicine in the Management of Abdominal Aortic Aneurysm: A Review.Journal of personalized medicine · 2024Review
- Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests.Heliyon · 2024Article
- Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records.BMC bioinformatics · 2023Article
- Development of Machine-Learning Model to Predict COVID-19 Mortality: Application of Ensemble Model and Regarding Feature Impacts.Diagnostics (Basel, Switzerland) · 2022Article
- Muscle plays a more superior role than fat in bone homeostasis: A cross-sectional study of old Asian people.Frontiers in endocrinology · 2022Article
- Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management.Computer methods and programs in biomedicine · 2021Article
- Development of machine learning model for diagnostic disease prediction based on laboratory tests.Scientific reports · 2021Article
- The Association Between Curvature and Rupture in a Murine Model of Abdominal Aortic Aneurysm and Dissection.Experimental mechanics · 2021Article
- Discovering Panel of Autoantibodies for Early Detection of Lung Cancer Based on Focused Protein Array.Frontiers in immunology · 2021Article
- Use of Machine Learning for Prediction of Patient Risk of Postoperative Complications After Liver, Pancreatic, and Colorectal Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020Article
- A Comparative Study of Biomechanical and Geometrical Attributes of Abdominal Aortic Aneurysms in the Asian and Caucasian Populations.Journal of biomechanical engineering · 2020Article
- A Comparative Classification Analysis of Abdominal Aortic Aneurysms by Machine Learning Algorithms.Annals of biomedical engineering · 2020Article
- A canonical correlation analysis of the relationship between clinical attributes and patient-specific hemodynamic indices in adult pulmonary hypertension.Medical engineering & physics · 2020Article
- A machine leaning approach for abdominal aortic aneurysm severity assessment using geometric, biomechanical, and patient-specific historical clinical features.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference.Computers in biology and medicine · 2020Article
- High-frequency murine ultrasound provides enhanced metrics of BAPN-induced AAA growth.American journal of physiology. Heart and circulatory physiology · 2019Article
- Pentagalloyl Glucose and Its Functional Role in Vascular Health: Biomechanics and Drug-Delivery Characteristics.Annals of biomedical engineering · 2019Review
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Abdominal aortic aneurysm (AAA) is an asymptomatic aortic disease with a survival rate of 20% after rupture. It is a vascular degenerative condition different from occlusive arterial diseases. The size of the aneurysm is the most important determining factor in its clinical management. However, other measures of the AAA geometry that are currently not used clinically may also influence its rupture risk. With this in mind, the objectives of this work are to develop an algorithm to calculate the AAA wall thickness and abdominal aortic diameter at planes orthogonal to the vessel centerline, and to quantify the effect of geometric indices derived from this algorithm on the overall classification accuracy of AAA based on whether they were electively or emergently repaired. Such quantification was performed based on a retrospective review of existing medical records of 150 AAA patients (75 electively repaired and 75 emergently repaired). Using an algorithm implemented within the MATLAB computing environment, 10 diameter- and wall thickness-related indices had a significant difference in their means when calculated relative to the AAA centerline compared to calculating them relative to the medial axis. Of these 10 indices, nine were wall thickness-related while the remaining one was the maximum diameter (D
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.