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

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.

Inclusion criteria

• CRS patients that presented in the Rhinologic clinic at the Hillel Yaffe Medical Center. CRS patients that never had FESS - endoscopic sinus surgery.
• Willing and able to give inform consent

Control subjects:

• Age and gender match control individuals that do not have CRS or any other condition that is defined as nasal disease. These individuals will be recruited as "Healthy Population Reference" group.
• Willing and able to give informed consent

Exclusion criteria

• Patients age 18 or less, pregnant women
• Presence of HIV, hepatitis or any other potentially severe and infectious disease. Patient that had sinus surgery.