Literature DB >> 15794075

Long-term rhinoflowmetry: a new method for functional rhinologic diagnostics.

Stefan Grützenmacher1, Christian Lang, Robert Mlynski, Barbara Mlynski, Gunter Mlynski.   

Abstract

BACKGROUND: With current functional diagnostic tools in rhinology (rhinomanometry, rhinoresistometry, and acoustic rhinometry) long-term assessment of nasal function is difficult to acquire. Usually, only the situation at the time of examination is evaluated. Therefore, temporary nasal complaints of the nasal cycle are difficult to assess. It was the aim of this work to create a diagnostic tool to measure nasal flow over a long time period under physiological and everyday life conditions. We term the method long-term rhinoflowmetry (LRFM).
METHODS: A portable device recording nasal airflow over a time period up to 72 hours was developed. Kinetic pressure fluctuations during respiration as a measure for the flow were registered over time and relative airflow was calculated. A summary of diagnostic results is given in six exemplary patients.
RESULTS: Classic nasal cycles could be recorded in detail with durations ranging from 90 minutes to 10 hours. The manifestation of nighttime nasal obstruction as well as a case of paradoxical nasal obstruction were objectified. LRFM enables the assessment of time, duration, and extent of temporary nasal obstruction.
CONCLUSION: LRFM enables an assessment of temporary nasal obstruction as well as physiological and pathological fluctuations in the nasal cycle. Especially in cases in which traditional rhinological diagnostic tools are unsatisfying, the enhanced diagnostic quality of LRFM appears to be a promising supplement to the currently available rhinological monitoring methods.

Entities:  

Mesh:

Year:  2005        PMID: 15794075

Source DB:  PubMed          Journal:  Am J Rhinol        ISSN: 1050-6586


  10 in total

Review 1.  [Nasal-air conditioning].

Authors:  T Keck; A Rozsasi; P M Gruen
Journal:  HNO       Date:  2011-01       Impact factor: 1.284

2.  Estimates of nasal airflow at the nasal cycle mid-point improve the correlation between objective and subjective measures of nasal patency.

Authors:  Courtney Gaberino; John S Rhee; Guilherme J M Garcia
Journal:  Respir Physiol Neurobiol       Date:  2017-01-09       Impact factor: 1.931

Review 3.  [Diagnostic methods of nasal respiratory function].

Authors:  G Mlynski; A Beule
Journal:  HNO       Date:  2008-01       Impact factor: 1.284

4.  Simulating the nasal cycle with computational fluid dynamics.

Authors:  Ruchin G Patel; Guilherme J M Garcia; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee
Journal:  Otolaryngol Head Neck Surg       Date:  2014-12-01       Impact factor: 3.497

5.  [Relevance of nasal provocation testing in house dust mite allergy].

Authors:  B R Haxel
Journal:  HNO       Date:  2017-10       Impact factor: 1.284

6.  [CT rhinometry : a correlation of rhinomanometry and multiplanar computer tomography of the nasal cavity].

Authors:  K W G Eichhorn; B Schneider; T A Bley; I Wagner; A Schröck; M Jakob
Journal:  HNO       Date:  2012-12       Impact factor: 1.284

7.  Physiology and pathophysiology of respiratory mucosa of the nose and the paranasal sinuses.

Authors:  Achim G Beule
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2011-04-27

8.  Measuring and Characterizing the Human Nasal Cycle.

Authors:  Roni Kahana-Zweig; Maya Geva-Sagiv; Aharon Weissbrod; Lavi Secundo; Nachum Soroker; Noam Sobel
Journal:  PLoS One       Date:  2016-10-06       Impact factor: 3.240

9.  EEG signatures change during unilateral Yogi nasal breathing.

Authors:  Imran Khan Niazi; Muhammad Samran Navid; Jim Bartley; Daniel Shepherd; Mangor Pedersen; Georgina Burns; Denise Taylor; David E White
Journal:  Sci Rep       Date:  2022-01-11       Impact factor: 4.379

10.  [Definition and illustration of the different types of nasal cycle using long-term rhinometry].

Authors:  E F Reins; C Weindel; T K Hoffmann; F Sommer; F Stupp; A-S Halbig; J Lindemann
Journal:  HNO       Date:  2021-06-25       Impact factor: 1.284

  10 in total

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