Evidence map›Paper›PMID 35951208›Full record

ArticleAnnals of biomedical engineering2023

Analysis of Upper Airway Flow Dynamics in Robin Sequence Infants Using 4-D Computed Tomography and Computational Fluid Dynamics.

Michael Barbour, Clare Richardson, Mike Bindschadler, Seth Friedman, Randall Bly, John P Dahl, Alberto Aliseda

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Patient-Specific Computational Fluid Dynamics Modeling of Airway Collapse in Infants With Robin Sequence.International journal for numerical methods in biomedical engineering · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Michael BarbourDepartment of Mechanical Engineering, University of Washington, 4625 Union Bay PL NE, Seattle, WA, 98105, USA. barbourm@uw.edu.ORCID http://orcid.org/0000-0001-5160-0119
Clare RichardsonDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA.
Mike BindschadlerDepartment of Radiology, Seattle Children's Hospital, Seattle, WA, USA.
Seth FriedmanCenter for Clinical and Translational Research, Seattle Children's Hospital, Seattle, WA, USA.
Randall BlyDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA.
John P DahlDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA.
Alberto AlisedaDepartment of Mechanical Engineering, University of Washington, 4625 Union Bay PL NE, Seattle, WA, 98105, USA.
Seattle Children's Hospital · USUnion University · USUniversity of Washington · US

Funding

Research Training in OtolaryngologyT32DC000018 · NIDCD · UNIVERSITY OF WASHINGTON · PI STONE, JENNIFER S. · 1989 to 2023
$7.8M
Development of a Novel Diagnostic Modality for Upper Airway Obstruction via Integrating Dynamic Computed Tomography with Computational Fluid DynamicsR21DE033120 · NIDCR · CHILDREN'S MERCY HOSP (KANSAS CITY, MO) · PI DAHL, JOHN PATRICK · 2024 to 2025
$468k
NIDCD NIH HHS 5T32DC000018-38NIDCD NIH HHS T32 DC000018NIDCR NIH HHS R21 DE033120
6 · The paper itself

Abstract

Robin Sequence (RS) is a potentially fatal craniofacial condition characterized by undersized jaw, posteriorly displaced tongue, and resultant upper airway obstruction (UAO). Accurate assessment of UAO severity is crucial for management and diagnosis of RS, yet current evaluation modalities have significant limitations and no quantitative measures of airway resistance exist. In this study, we combine 4-dimensional computed tomography and computational fluid dynamics (CFD) to assess, for the first time, UAO severity using fluid dynamic metrics in RS patients. Dramatic intrapopulation differences are found, with the ratio between most and least severe patients in breathing resistance, energy loss, and peak velocity equal to 40:1, 20:1, and 6:1, respectively. Analysis of local airflow dynamics characterized patients as presenting with primary obstructions either at the location of the tongue base, or at the larynx, with tongue base obstructions resulting in a more energetic stenotic jet and greater breathing resistance. Finally, CFD-derived flow metrics are found to correlate with the level of clinical respiratory support. Our results highlight the large intrapopulation variability, both in quantitative metrics of UAO severity (resistance, energy loss, velocity) and in the location and intensity of stenotic jets for RS patients. These results suggest that computed airflow metrics may significantly improve our understanding of UAO and its management in RS.

Indexed as

LarynxPierre Robin SyndromeConstriction, PathologicHumansHydrodynamicsInfantTomography, X-Ray ComputedTrachea4D-CTCFDRespiratory flowUpper airway obstruction

Identifiers

PMID35951208
PMCPMC12145665
OpenAlexW4290802297

What OpenQuestion holds

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Registered trials

None linked

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.