OLFADIAG: Demonstrating the Diagnostic Power of an Electronic Nose: Study on Exhaled Air Samples
Study Details
Study Description
Brief Summary
The investigators don't know yet how the nose and the brain decode the smells. Scientific studies in neuroscience have shown that people who have tumors may have changes in the smell of secretions. Dogs are extremely efficient at detecting these changes, even before imaging studies. A review of the recent literature shows the different work done on the diagnosis of dogs on human pathologies, especially oncology. It is now known that the smell of exhaled gases is representative of the intestinal biotope and that a large number of pathologies are related to the type of microbial populations that inhabit the intestines.
Copying the olfactory organs could thus be of major interest for the early diagnosis of pathologies. More and more works are interested in the diagnostic power of electronic noses. From a technical point of view, these are nano-sensors that mimic the olfactory receptors from the breath gas of the subjects. They analyze the molecules present and compare them with a database to establish a diagnosis according to a probabilistic algorithm.
The use of exhaled air for the diagnosis of cancerous pathologies has already been the subject of scientific work. A classification using the SVM (support vector machine) method using data from 320 sensors made it possible to differentiate patients with lung cancer from controls in 98.8% of cases. The differential diagnosis of obstructive bronchopneumopathy was also very well done in this same study. Another study shows equally encouraging results, highlighting sensitivities and specificities above 80%.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: exhaled air exhaled air analysis of patients |
Device: olfactory measuring device
Patients blowing into bags then analysis by olfadiag system
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Outcome Measures
Primary Outcome Measures
- positive predictive value and negative predictive value [18 months]
positive predictive value and negative predictive value of the electronic nose
Eligibility Criteria
Criteria
Inclusion Criteria:
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The patient must have signed the free and informed consent form or their guardian if applicable. If the state of health of the patient does not allow him to give and sign his consent, it will be sought from the person of trust
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The patient must be an affiliate or beneficiary of a health insurance plan
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The patient is at least 18 years old
Exclusion Criteria:
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The patient participates or has participated within 3 months in another study that may have modified their intestinal biotope
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The patient is in an exclusion period determined by a previous study
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The patient is under the protection of justice
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The patient or guardian or trusted person refuses to sign the consent
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The patient does not read the French language fluently
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The patient claims to be pregnant
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The patient is breastfeeding
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Nouvelle Clinique Bonnefon | Ales | France | 34 |
Sponsors and Collaborators
- Nouvelle Clinique Bonnefon
- University Hospital, Montpellier
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- HSM_NCB_2018-1
- NCT03715855