Evidence map›Paper›PMID 41960111›Full record

ArticleJTCVS open2026

Computational fluid dynamics as an objective measure for assessing congenital tracheal stenosis: Proof-of-concept study.

Christopher Rutter, Tjasa Zaletel, Pooja Shetty, Claudio Capelli, Richard Hewitt, Marcus Hong, Nagarajan Muthialu

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Article in JTCVS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Christopher RutterDepartment of Pediatric Cardiothoracic Surgery, Great Ormond Street Hospital for Children, London, United Kingdom.
Tjasa ZaletelDepartment of Pediatric Cardiothoracic Surgery, Great Ormond Street Hospital for Children, London, United Kingdom.
Pooja ShettyDepartment of Pediatric Cardiothoracic Surgery, Great Ormond Street Hospital for Children, London, United Kingdom.
Claudio CapelliDepartment of Pediatric Cardiothoracic Surgery, Great Ormond Street Hospital for Children, London, United Kingdom.
Richard HewittThe Ohio State University College of Medicine, Columbus, Ohio.
Marcus HongThe Ohio State University College of Medicine, Columbus, Ohio.
Nagarajan MuthialuDepartment of Pediatric Cardiothoracic Surgery, Great Ormond Street Hospital for Children, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conventional diagnostic assessment of congenital tracheal stenosis does not always closely correlate with clinical status, especially in asymptomatic children. Clinical decision making is often difficult in these circumstances. Computational fluid dynamics (CFD), in which computed tomography scans are reconstructed to map dynamic flow in the body, has shown promise as a tool for assessing airflow in children with congenital tracheal stenosis when traditional imaging modalities are limited. We sought to establish proof of this concept by applying CFD to congenital tracheal stenosis. Methods: A retrospective single-center cohort study was performed for patients with congenital tracheal stenosis treated with slide tracheoplasty. A total of 9 children (age 3 months-12 years; weight 3-42 kg) with tracheal stenosis were assessed, including 2 with isolated stenosis, 2 with stenosis with a left pulmonary artery sling, 2 with stenosis with tracheal bronchus, and 3 with stenosis with single lung. Preoperative and postoperative computed tomography scans were obtained retrospectively and then used to construct 3-dimensional tracheal models and assess airflow using CFD. The 3-dimensional tracheal geometries were segmented to extract centerlines and prepare inlet/outlet planes, a steady velocity was imposed at the inlet, and zero pressure was imposed at the outlets. Results: CFD simulations were successfully run to visualize velocity and pressure fields, which in turn were used to calculate pressure gradients across areas of obstruction and energy loss in the system. Postrepair velocities at the areas of maximum obstruction were lower than pre-repair velocities at the mid-trachea or carina for all 9 patients. Higher velocity, lower pressure, and increased wall stress corresponded to areas of stenosis across CFD simulations. Conclusions: Clinicians have limited functional data to inform decision making in the surgical repair of congenitally malformed tracheas. CFD using our methodology can virtually simulate flow in pre-repair and postrepair scenarios in several different malformations. The results of this study support CFD as a promising method for objectively assessing fluid dynamic metrics in congenital tracheal stenosis and correlating with clinical presentation and prognosis.

Indexed as

airflowairwaybronchoscopycomplete tracheal ringscomputational fluid dynamicscongenital tracheal stenosisslide tracheoplasty

Identifiers

PMID41960111
PMCPMC13059962

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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.