ArticleThe Laryngoscope2018
Quantification of tissue-engineered trachea performance with computational fluid dynamics.
Article in The Laryngoscope, 2018. 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.
- Recent advances in artificial intelligence across interventional pulmonology: a narrative review.Journal of thoracic disease · 2026Review
- Computational Fluid Dynamic Modeling Reveals Nonlinear Airway Stress during Trachea Development.The Journal of pediatrics · 2021Article
- Novel CFD modeling approaches to assessing urine flow in prostatic urethra after transurethral surgery.Scientific reports · 2021Article
- Tissue engineering applications in otolaryngology-The state of translation.Laryngoscope investigative otolaryngology · 2020Review
- Factors Influencing Poor Outcomes in Synthetic Tissue-Engineered Tracheal Replacement.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2019Article
- Asymptomatic vs symptomatic septal perforations: a computational fluid dynamics examination.International forum of allergy & rhinology · 2019Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectives/hypothesisCurrent techniques for airway characterization include endoscopic or radiographic measurements that produce static, two-dimensional descriptions. As pathology can be multilevel, irregularly shaped, and dynamic, minimal luminal area (MLA) may not provide the most comprehensive description or diagnostic metric. Our aim was to examine the utilization of computational fluid dynamics (CFD) for the purpose of defining airway stenosis using an ovine model of tissue-engineered tracheal graft (TETG) implantation. STUDY
designAnimal research model.
methodsTETGs were implanted into sheep, and MLA was quantified with imaging and endoscopic measurements. Graft stenosis was managed with endoscopic dilation and stenting when indicated. Geometries of the TETG were reconstructed from three-dimensional fluoroscopic images. CFD simulations were used to calculate peak flow velocity (PFV) and peak wall shear stress (PWSS). These metrics were compared to values derived from a quantitative respiratory symptom score.
resultsElevated PFV and PWSS derived from CFD modeling correlated with increased respiratory symptoms. Immediate pre- and postimplantation CFD metrics were similar, and implanted sheep were asymptomatic. Respiratory symptoms improved with stenting, which maintained graft architecture similar to dilation procedures. With stenting, baseline PFV (0.33 m/s) and PWSS (0.006 Pa) were sustained for the remainder of the study. MLA measurements collected via bronchoscopy were also correlated with respiratory symptoms. PFV and PWSS found via CFD were correlated (R
conclusionsCFD is valid for informed interventions based on multilevel, complex airflow and airway characteristics. Furthermore, CFD may be used to evaluate TETG functionality. LEVEL OF EVIDENCE: NA. Laryngoscope, E272-E279, 2018.
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