ArticleJTCVS open2022
Prediction of aortic dilatation in surgically repaired type A dissection: A longitudinal study using computational fluid dynamics.
Article in JTCVS open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07623213 (Artificial Intelligence Multimodal Prediction Model-Guided Intensified Follow-up Strategy for 1-Year Outcomes After Surgery for Acute Type A Aortic Dissection), which is not on this map. Cited by 11 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.
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.
Artificial Intelligence Multimodal Prediction Model-Guided Intensified Follow-up Strategy for 1-Year Outcomes After Surgery for Acute Type A Aortic Dissection: A Multicenter Randomized Controlled Trial
Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Endovascular repair for complicated Azzizadeh Grade III blunt traumatic aortic injury: a single-center cohort study of thoracic injuries with a separate abdominal subgroup.BMC cardiovascular disorders · 2026Article
- Computational fluid dynamics analysis for enlargement of the descending aorta after frozen elephant trunk implantation.Journal of cardiothoracic surgery · 2026Article
- Deep learning-driven false-lumen volumes predict adverse remodeling better than diameter in patients with residual aortic dissection on CT.European radiology · 2026Article
- Mechanisms of aortic dissection: From pathological changes to experimental andProgress in materials science · 2025Article
- Investigation of Type A Aortic Dissection Using Computational Modelling.Biomedicines · 2024Article
- Blood flow assessment technology in aortic surgery: a narrative review.Journal of thoracic disease · 2024Review
- The Influence of Minor Aortic Branches in Patient-Specific Flow Simulations of Type-B Aortic Dissection.Annals of biomedical engineering · 2023Article
- Irregular anatomical features can alter hemodynamics in Takayasu arteritis.JVS-vascular science · 2023Article
- A computational study of the effects of size, location, and number of tears on haemodynamics in surgically repaired type A aortic dissection.Frontiers in cardiovascular medicine · 2023Article
- Volume Analysis to Predict the Long-Term Evolution of Residual Aortic Dissection after Type A Repair.Journal of cardiovascular development and disease · 2022Article
- Fluid-Structure Interaction Simulations of Repaired Type A Aortic Dissection: a Comprehensive Comparison With Rigid Wall Models.Frontiers in physiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To examine the role of a key hemodynamic parameter, namely the true and false lumen pressure difference, to predict progressive aortic dilatation following type A aortic dissection (TAAD) repair. Methods: Four patients with surgically repaired TAAD with multiple follow-up computed tomography angiography scans (4-5 scans per patient; N = 18) were included. Through-plane diameter of the residual native thoracic aorta was measured in various aortic segments during the follow up period (mean follow-up: 49.6 ± 31.2 months). Computational flow analysis was performed to estimate true and false lumen pressure difference at the same locations and the correlation with aortic size change was studied using a linear mixed effects model. Results: Greater pressure difference between the true and false lumen was consistent with greater aortic diameter expansion during the follow up period (linear mixed effects analysis; coefficient, 0.26; 95% confidence interval, 0.15-0.37; Conclusions: Computational fluid dynamic assessment of standard aortic computed tomography angiography offers a noninvasive technique that predicts the risk of aortic dilatation following TAAD. The technique may be used to plan closer observation or intervention in high-risk patients.
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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.