Literature DB >> 19655385

Indicators for the correct usage of intranasal medications: A computational fluid dynamics study.

Revanth Reddy Garlapati1, Heow Pueh Lee, Fook Hin Chong, De Yun Wang.   

Abstract

OBJECTIVES/HYPOTHESIS: Intranasal medications are commonly used in treating nasal diseases. However, technical details of their correct administration are unclear.
METHODS: A three-dimensional model of nasal cavity was constructed from the magnetic resonance imaging scans of a healthy human subject. Nasal cavities corresponding to moderate and severe nasal obstruction were derived from the healthy nose by enlarging the inferior turbinate geometrically, which can be documented by approximately one third reduction of the minimum cross-sectional area in the moderate and two thirds in the severe obstruction. The discrete phase model based on computational fluid dynamics was used to study the gas particle flow. The percentage of discrete particles that pass through the minimum cross-sectional area in the nasal valve (NV) region is computed as the percentage of NV penetration rate.
RESULTS: The percentage of NV penetration is 10 to 20 times higher when nasal spray is accompanied by an inspiratory airflow than no flow, which can be as low as 4.69% to 8.81% in the healthy model, and 0% in moderate and severe blockage models. In the presence of inspiratory airflow, there is no significant difference in the percentage of NV penetration (80.97%-82.13%) among different head tilt angles (0 degrees -90 degrees ).
CONCLUSIONS: When using an intranasal medication, it is advisable to have an inspiratory flow to improve drug penetration. Various suggested head positions do not improve drug penetration significantly, even in the presence of uniform quiet breathing. Further studies that consider turbulence and unsteady airflow are needed to investigate the deposition distribution of discrete particles inside various nasal cavities.

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Year:  2009        PMID: 19655385     DOI: 10.1002/lary.20660

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  13 in total

1.  Computed nasal resistance compared with patient-reported symptoms in surgically treated nasal airway passages: a preliminary report.

Authors:  Julia S Kimbell; Guilherme J M Garcia; Dennis O Frank; Daniel E Cannon; Sachin S Pawar; John S Rhee
Journal:  Am J Rhinol Allergy       Date:  2012 May-Jun       Impact factor: 2.467

2.  Nasal Airflow Changes With Bioabsorbable Implant, Butterfly, and Spreader Grafts.

Authors:  Bryan M Brandon; Wesley H Stepp; Saikat Basu; Julia S Kimbell; Brent A Senior; William W Shockley; J Madison Clark
Journal:  Laryngoscope       Date:  2020-05-04       Impact factor: 3.325

3.  Quantification of airflow into the maxillary sinuses before and after functional endoscopic sinus surgery.

Authors:  Dennis O Frank; Adam M Zanation; Vishal H Dhandha; Kibwei A McKinney; Gitanjali M Fleischman; Charles S Ebert; Brent A Senior; Julia S Kimbell
Journal:  Int Forum Allergy Rhinol       Date:  2013-09-05       Impact factor: 3.858

4.  Computational fluid dynamics: a suitable assessment tool for demonstrating the antiobstructive effect of drugs in the therapy of allergic rhinitis.

Authors:  N Achilles; N Pasch; A Lintermann; W Schröder; R Mösges
Journal:  Acta Otorhinolaryngol Ital       Date:  2013-02       Impact factor: 2.124

5.  Effects of anatomy and particle size on nasal sprays and nebulizers.

Authors:  Dennis O Frank; Julia S Kimbell; Sachin Pawar; John S Rhee
Journal:  Otolaryngol Head Neck Surg       Date:  2011-11-02       Impact factor: 3.497

6.  Deviated nasal septum hinders intranasal sprays: a computer simulation study.

Authors:  D O Frank; J S Kimbell; D Cannon; S S Pawar; J S Rhee
Journal:  Rhinology       Date:  2012-09       Impact factor: 3.681

7.  Computed intranasal spray penetration: comparisons before and after nasal surgery.

Authors:  Dennis O Frank; Julia S Kimbell; Daniel Cannon; John S Rhee
Journal:  Int Forum Allergy Rhinol       Date:  2012-08-27       Impact factor: 3.858

8.  Comparison of Airflow Between Spreader Grafts and Butterfly Grafts Using Computational Flow Dynamics in a Cadaveric Model.

Authors:  Bryan M Brandon; Grace K Austin; Gita Fleischman; Saikat Basu; Julia S Kimbell; William W Shockley; J Madison Clark
Journal:  JAMA Facial Plast Surg       Date:  2018-05-01       Impact factor: 4.611

9.  Impacts of fluid dynamics simulation in study of nasal airflow physiology and pathophysiology in realistic human three-dimensional nose models.

Authors:  De Yun Wang; Heow Peuh Lee; Bruce R Gordon
Journal:  Clin Exp Otorhinolaryngol       Date:  2012-11-13       Impact factor: 3.372

10.  Nasal sprayed particle deposition in a human nasal cavity under different inhalation conditions.

Authors:  Hadrien Calmet; Kiao Inthavong; Beatriz Eguzkitza; Oriol Lehmkuhl; Guillaume Houzeaux; Mariano Vázquez
Journal:  PLoS One       Date:  2019-09-06       Impact factor: 3.240

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