Deviated Nasal Septum, Nasal Obstruction
Conditions
Keywords
Numerical modeling, Fluid Dynamics, Computer simulation, Septoplasty, Nasal Air Flow, Sinonasal CT-Scan, Computational Fluid Dynamic Simulation
Brief summary
Chronic Nasal obstruction (CNO) is not currently measurable objectively because clinicians use validated declarative self-questionnaires whose results are linked to the level of understanding, the acute or chronic clinical situation, fatigue, psychological state and the desired gain. Using numerical simulations of the passage of air in the nasal cavities determining specific airflow parameters, the respiratory comfort of healthy subjects and the CNO of patients treated for this pathology could be explained.
Detailed description
CNO concerns 20 to 25% of the general population due to numerous etiologies (septal deviation, polyps, chronic rhinosinusitis, post-therapeutic cancer quality of life…). It disrupts sleep and deteriorates all the compartments of the quality of life sometimes to depression. To date, nobody knows the exact component of CNO which is probably the amalgamation of different mucosal information and all measurement attempts have failed by lack of reliability and reproducibility. This major shortcoming of CNO quantification leads to diagnosis uncertainties, quantification of symptoms and therapeutic. The place of such complementary exam able to do an objective measure of NO is expected by the profession. The Computational Fluid Dynamic Simulation (CDFS) of the air passage would allow a complementary functional analysis to anatomy of the sino-nasal cavities to measure CNO. Such information would reduce the failure rate and unnecessary functional surgeries by 25%, reduce the inappropriate care of patients suffering to obstructive sleep disorders and reduce the financial burden on the health system. No patient follow-up in this study: pseudo-anonymized retrospective clinical and scannographic data from the routine management of patients in rhinosinusology consultations.
Interventions
OTHERData collection
Retrospective pseudo-anonymized clinical and scannographic data from the routine management of patients in rhino-sinusology consultations.
Sponsors
CREATIS Laboratory
Optifluides
University Hospital, Bordeaux
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 69 Years
Healthy volunteers
Yes
Inclusion criteria
* 18 years ≤ age \< 70 years * BMI \< 30 kg/m2 * Subject or Patient of Caucasian ethnic origin or from the Mediterranean region. * Asymptomatic subject with or without a septal deviation without sinonasal disease with a NOSE score ≤ 7 Or Patient suffering from chronic nasal obstruction of morphological origin (symptomatic septal or nasoseptal deviation) requiring surgical management with a NOSE score ≥ 9/20, without or .with sleep apnea with an Apnea-hypopnea index ≤ 20 with no other cause than this apnea syndrome
Exclusion criteria
* Acute or chronic rhinosinusitis with or without polyps (except controlled allergic rhinitis) * Vasculitis * Empty nasal cavity syndrome * Septal perforations * History of nasal plastic surgery, sinonasal endoscopic surgery and cancer with head or neck radiotherapy * Uncontrolled bronchopulmonary pathology * Treatments with nasal vasomotor repercussions.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation coefficient | at inclusion (day 0) | Correlation coefficient of at least one of the simulation parameters greater than 0.5 with the NOSE score in a healthy population and a pathological population. This parameter could be Pressure (P), Temperature (T), mass exchanges (C) and/or shear stresses (SS). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Physical values of air flow | at inclusion (day 0) | Physical values of air flow in the normal population and in the pathological population suffering from ONC, during resting breathing for all CFD parameters at 0.5 sec from the start of the respiratory cycle. |
| flow parameters | at inclusion (day 0) | Statistical comparison of the flow parameters between these two groups and correlation of clinical data with the flow parameters. |
| weighting coefficients of the flow parameters | at inclusion (day 0) | Search for the weighting coefficients of the flow parameters and validation of the equation determining the CNO. |
Countries
France
Contacts
Primary ContactLudovic De GABORY, Pr
Backup ContactElodie BELMO
Outcome results
None listed