ArticlePulse (Basel, Switzerland)
Thoracic Aortic Three-Dimensional Geometry.
Article in Pulse (Basel, Switzerland). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Ascending Aortic Dimensions and Body Size: Allometric Scaling, Normative Values, and Prognostic Performance.JACC. Cardiovascular imaging · 2025Article
- Geometric Aging of the Thoracic Aorta: Insights From 2 Large Cohorts.Hypertension (Dallas, Tex. : 1979) · 2025Article
- Early Vascular Aging Determined by 3-Dimensional Aortic Geometry: Genetic Determinants and Clinical Consequences.Circulation · 2025Article
- Genetically Predicted Expression of Autophagy-Related Genes and Thoracic Aortic Aging: A Mendelian Randomization Study.Hypertension (Dallas, Tex. : 1979) · 2025Article
- Predicting Thoracic Aortic Dissection in a Diverse Biobank Using a Polygenic Risk Score.JACC. Advances · 2025Article
- Thoracic Aortic Three-Dimensional Geometry.Pulse (Basel, Switzerland)Article
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Authors and funding
12 authors.
Funding
Abstract
Introduction: Aortic structure impacts cardiovascular health through multiple mechanisms. Aortic structural degeneration occurs with aging, increasing left ventricular afterload and promoting increased arterial pulsatility and target organ damage. Despite the impact of aortic structure on cardiovascular health, three-dimensional (3D) aortic geometry has not been comprehensively characterized in large populations. Methods: We segmented the complete thoracic aorta using a deep learning architecture and used morphological image operations to extract multiple aortic geometric phenotypes (AGPs, including diameter, length, curvature, and tortuosity) across various subsegments of the thoracic aorta. We deployed our segmentation approach on imaging scans from 54,241 participants in the UK Biobank and 8,456 participants in the Penn Medicine Biobank. Conclusion: Our method provides a fully automated approach toward quantifying the three-dimensional structural parameters of the aorta. This approach expands the available phenotypes in two large representative biobanks and will allow large-scale studies to elucidate the biology and clinical consequences of aortic degeneration related to aging and disease states.
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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.