Applications of Nanotechnology and Chemical Sensors for the Detection and Identification of Chronic Sinusitis Subtypes by Respiratory Samples

Overview

Professor Hossam Haick from the Technion, developed an electronic nose for diagnosis of diseases via breath samples. Biomarkers from nose and sinuses and upper respiratory tract can be detected by "electronic nose". Identification of biomarkers from nose and sinuses and upper respiratory tract can differentiate between the subtypes of CRS (Chronic rhinosinusitis) and may serve as markers for disease (vs controls), of disease activity (predicting aggressive disease course, predicting Malignant vs Benign nasal "polyps", as inverted papillpma or carcinoma; predicting response to therapy (Steroid , Antibiotics, Nasal wash, Surgery).

Professor Hossam Haick from the Technion, developed an electronic nose for diagnosis of diseases via breath samples. Biomarkers from nose and sinuses and upper respiratory tract can be detected by "electronic nose". Identification of biomarkers from nose and sinuses and upper respiratory tract can differentiate between the subtypes of CRS (Chronic rhinosinusitis) and may serve as markers for disease (vs controls), of disease activity (predicting aggressive disease course, predicting Malignant vs Benign nasal "polyps", as inverted papillpma or carcinoma; predicting response to therapy (Steroid , Antibiotics, Nasal wash, Surgery). The aim of this study is to evaluate various CRS diseases with the Electronic Nose trying to better differentiate CRSwPolyps , CRS without Polyps, PCD, AFS, Vasculitis (as Wegener Granulomatosis) and Allergic Rhinitis with CRS. For that reason samples were taken from patients from different groups of "CRS patients": 1. CRSwPolyps with no Eosonophilia , 2. CRSwPolyps with Eosonopholia, 3. CRS without Polyps, 4. PCD, 5. AFS, 6. allergic rhinitis and 7. Control subjects.

Conditions

Eligibility