Volume 126, Issue 5 pp. 1225-1231
Pediatrics

Quantitative assessment of the upper airway in infants and children with subglottic stenosis

Carlton Zdanski MD

Corresponding Author

Carlton Zdanski MD

Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

Drs. Zdanski and Davis share first co-authorship.

Send correspondence to Carlton J. Zdanski, MD, G117, POB, CB#7070, Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7070. E-mail: [email protected]Search for more papers by this author
Stephanie Davis MD

Stephanie Davis MD

Department of Pediatrics, Section of Pediatric Pulmonology, Allergy and Sleep Medicine, Riley Children's Hospital, Indiana University School of Medicine, Indianapolis, Indiana

Drs. Zdanski and Davis share first co-authorship.

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Yi Hong MSc

Yi Hong MSc

Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Di Miao BS

Di Miao BS

Department of Statistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Cory Quammen BS

Cory Quammen BS

Kitware, Incorporated, Carrboro, North Carolina

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Sorin Mitran PhD

Sorin Mitran PhD

Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Brad Davis PhD

Brad Davis PhD

Kitware, Incorporated, Carrboro, North Carolina

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Marc Niethammer PhD

Marc Niethammer PhD

Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Julia Kimbell PhD

Julia Kimbell PhD

Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Elizabeth Pitkin BSN

Elizabeth Pitkin BSN

Department of Pediatrics, Division of Pediatric Pulmonology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Jason Fine PhD

Jason Fine PhD

Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Lynn Fordham MD

Lynn Fordham MD

Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Bradley Vaughn MD

Bradley Vaughn MD

Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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Richard Superfine PhD

Richard Superfine PhD

Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

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First published: 30 July 2015
Citations: 22

This work was supported by NIH/NHLBI R01HL105241; NIH CTSA at UNC, 1UL1TR001111; and NIH/NIBIB 5P41EB002025.

The authors have no other funding, financial relationships, or conflicts of interest to disclose.

Abstract

Objectives/Hypothesis

Determine whether quantitative geometric measures and a computational fluid dynamic (CFD) model derived from medical imaging of children with subglottic stenosis (SGS) can be effective diagnostic and treatment planning tools.

Study Design

Retrospective chart and imaging review in a tertiary care hospital.

Methods

Computed tomography scans (n = 17) of children with SGS were analyzed by geometric and CFD methods. Polysomnograms (n = 15) were also analyzed. Radiographic data were age/weight flow normalized and were compared to an atlas created from radiographically normal airways. Five geometric, seven CFD, and five polysomnography measures were analyzed. Statistical analysis utilized a two-sample t test with Bonferroni correction and area under the curve analysis.

Results

Two geometric indices (the ratio of the subglottic to midtracheal airway, the percent relative reduction of the subglottic airway) and one CFD measure (the percent relative reduction of the hydraulic diameter of the subglottic airway) were significant for determining which children with SGS received surgical intervention. Optimal cutoffs for these values were determined. Polysomnography, the respiratory effort-related arousals index, was significant only prior to Bonferroni correction for determining which children received surgical intervention.

Conclusions

Geometric and CFD variables were sensitive at determining which patients with SGS received surgical intervention. Discrete quantitative assessment of the pediatric airway was performed, yielding preliminary data regarding possible objective thresholds for surgical versus nonsurgical treatment of disease. This study is limited by its small, retrospective, single-institution nature. Further studies to validate these findings and possibly optimize treatment threshold recommendations are warranted.

Level of Evidence

4 Laryngoscope, 126:1225–1231, 2016

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