ArticleFrontiers in physiology2023
Assessment of shape-based features ability to predict the ascending aortic aneurysm growth.
Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Thoracic Aortic Aneurysm Growth Rates and Predicting Factors: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2025Pooled it
- Forecasting Patient-Specific Abdominal Aortic Aneurysm Geometry with Mixed-Effects Models.Diagnostics (Basel, Switzerland) · 2026Article
- Changes in aortic centerline length and curvature predict aortic diameter growth in chronic type B aortic dissection.JTCVS open · 2026Article
- Applications of Artificial Intelligence as a Prognostic Tool in the Management of Acute Aortic Syndrome and Aneurysm: A Comprehensive Review.Journal of clinical medicine · 2025Review
- Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis.Medical & biological engineering & computing · 2025Article
- Aortic shape with high-acute isthmic angle post frozen elephant trunk reconstruction is associated with worse postoperative outcomes: Multisite, principal component analysis, retrospective study.JTCVS structural and endovascular · 2024Article
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current guidelines for the ascending aortic aneurysm (AsAA) treatment recommend surgery mainly according to the maximum diameter assessment. This criterion has already proven to be often inefficient in identifying patients at high risk of aneurysm growth and rupture. In this study, we propose a method to compute a set of local shape features that, in addition to the maximum diameter
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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.