Evidence map›Paper›PMID 34411195›Full record

ArticlePloS one2021

Human upper-airway respiratory airflow: In vivo comparison of computational fluid dynamics simulations and hyperpolarized 129Xe phase contrast MRI velocimetry.

Qiwei Xiao, Neil J Stewart, Matthew M Willmering, Chamindu C Gunatilaka, Robert P Thomen, Andreas Schuh, Guruprasad Krishnamoorthy, Hui Wang, Raouf S Amin, Charles L Dumoulin and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Tracheomalacia Reduces Aerosolized Drug Delivery to the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
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

12 authors at 3 institutions in 2 countries.

Qiwei XiaoDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Neil J StewartDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.ORCID 0000-0001-8358-394X
Matthew M WillmeringDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.ORCID 0000-0002-4356-9622
Chamindu C GunatilakaDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.ORCID 0000-0003-2713-6533
Robert P ThomenDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Andreas SchuhDepartment of Computing, Imperial College London, London, United Kingdom.
Guruprasad KrishnamoorthyMR Clinical Science, Philips, Rochester, MN, United States of America.
Hui WangDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Raouf S AminDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Charles L DumoulinDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Jason C WoodsDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Alister J BatesDivision of Pulmonary Medicine, Center for Pulmonary Imaging Research, Cincinnati Children's Hospital, Cincinnati, OH, United States of America.
Cincinnati Children's Hospital Medical Center · USImperial College London · GBPhilips (United States) · US

Funding

Improving Outcomes in Pediatric Obstructive Sleep Apnea with Computational Fluid DynamicsR00HL144822 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BATES, ALISTER · 2022 to 2024
$747k
Improving Outcomes in Pediatric Obstructive Sleep Apnea with Computational Fluid DynamicsK99HL144822 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BATES, ALISTER · 2019 to 2020
$310k
NHLBI NIH HHS K99 HL144822NHLBI NIH HHS R00 HL144822
6 · The paper itself

Abstract

Computational fluid dynamics (CFD) simulations of respiratory airflow have the potential to change the clinical assessment of regional airway function in health and disease, in pulmonary medicine and otolaryngology. For example, in diseases where multiple sites of airway obstruction occur, such as obstructive sleep apnea (OSA), CFD simulations can identify which sites of obstruction contribute most to airway resistance and may therefore be candidate sites for airway surgery. The main barrier to clinical uptake of respiratory CFD to date has been the difficulty in validating CFD results against a clinical gold standard. Invasive instrumentation of the upper airway to measure respiratory airflow velocity or pressure can disrupt the airflow and alter the subject's natural breathing patterns. Therefore, in this study, we instead propose phase contrast (PC) velocimetry magnetic resonance imaging (MRI) of inhaled hyperpolarized 129Xe gas as a non-invasive reference to which airflow velocities calculated via CFD can be compared. To that end, we performed subject-specific CFD simulations in airway models derived from 1H MRI, and using respiratory flowrate measurements acquired synchronously with MRI. Airflow velocity vectors calculated by CFD simulations were then qualitatively and quantitatively compared to velocity maps derived from PC velocimetry MRI of inhaled hyperpolarized 129Xe gas. The results show both techniques produce similar spatial distributions of high velocity regions in the anterior-posterior and foot-head directions, indicating good qualitative agreement. Statistically significant correlations and low Bland-Altman bias between the local velocity values produced by the two techniques indicates quantitative agreement. This preliminary in vivo comparison of respiratory airway CFD and PC MRI of hyperpolarized 129Xe gas demonstrates the feasibility of PC MRI as a technique to validate respiratory CFD and forms the basis for further comprehensive validation studies. This study is therefore a first step in the pathway towards clinical adoption of respiratory CFD.

Indexed as

Computer SimulationHydrodynamicsMagnetic Resonance ImagingPulmonary VentilationRheologyAdultHumansMaleNasopharynxTracheaXenon IsotopesXenon-129Xenon Isotopes

Identifiers

PMID34411195
PMCPMC8376109
OpenAlexW3195688285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.