RGB(Red- Green-Blue) Measurement of the Nasal Mucosal Image

Completed

• Conditions: Allergic Rhinitis
• Interventions: Other: Red-green-blue measurements of nasal mucosa image

• Registration Number: NCT03070288
• Lead Sponsor: Bezmialem Vakif University

Brief Summary

The aim of this study was to evaluate the color values of the nasal mucosa, which is easily assessable by a direct, non-invasive, objective photographic measurement, for the purpose of presenting a diagnostic objective parameter of allergic rhinitis (AR).

All patients and controls were examined by the same 4 mm 0⁰endoscope and light source, and all endoscopic photographs of the septum and both inferior turbinates were taken. Adobe Photoshop Elements 7.0 program was used to measure the numerical values of the red-green-blue (RGB) color components in endoscopic photographs of the nasal mucosa on the septum and inferior turbinates.

Detailed Description

This study enrolled 73 patients with AR (Group 1) and 73 normal healthy individuals(Group 2) with no nasal pathologies and respiratory tract infection attending to the outpatient clinic of the tertiary referral center. Patient's symptoms were questioned and noted by using Lebel Symptom Score Scale. Clinical examination was also done to help diagnose and exclude acute respiratory tract infection. All of the patients had positive skin prick test results for at least one of the most common aeroallergens. All patients and controls were examined by the same 4 mm 0⁰endoscope and light source, and all endoscopic photographs of the septum and both inferior turbinates were taken. Each image was marked with standardized points at the anterior part of the nasal mucosa on both sides (2 points each right and left sides of the anterior septum and 2 points each anterior part of the inferior turbinates). These points were numbered 1 and 2 over the right inferior turbinate; 3 and 4 over the right side of the anterior septum; 4 and 5 over the left inferior turbinate; 6 and 7 over the left side of the anterior septum. Adobe Photoshop Elements 7.0 program was used to measure the numerical values of the red-green-blue color components in endoscopic photographs of the nasal mucosa on the septum and inferior turbinates.

Study Timeline

• Study First Submitted: 2017-01-30
• Study First Submitted QC: 2017-02-28
• Study First Posted: 2017-03-03
• Study Start: 2018-02-01
• Primary Completion: 2018-03-01
• Study Completion: 2019-04-10
• Status Verified: 2019-08
• Last Update Submitted: 2019-08-07
• Last Update Posted: 2019-08-08

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 146

Inclusion Criteria

• Subject has positive skin prick test results
• Subject has more than 5 points of Lebel Symptom Score Scale
• Subjects between 18-60 ages
• Subjects with allergic rhinitis

Exclusion Criteria

• Negative skin prick test results
• Acute respiratory tract infection existence
• Scores less than 5 points of Lebel Symptom Score Scale

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Group 2	Red-green-blue measurements of nasal mucosa image	Red-green-blue measurements of nasal mucosa images of normal healthy individuals
Group 1	Red-green-blue measurements of nasal mucosa image	Red-green-blue measurements of nasal mucosa images of patients with allergic rhinitis

Primary Outcome Measures

Name	Time	Method
The difference of nasal mucosa color between groups	3 months	Nasal mucosa colors of the groups were measured with the numerical values of the RGB color components. All endoscopic photographs of the septum and both inferior turbinates of the patients and healthy individuals were taken while the examination at the outpatient clinic for three months. Adobe Photoshop Elements 7.0 program automatically measures the numerical values of the RGB color components in the pointed area. Color discoloration at the nasal mucosa of allergic patients compared with the healthy individuals by using RGB measurements.

Trial Locations

Locations (1)

Bezmialem Vakif University; 🇹🇷 Istanbul, Turkey