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| Name | Class |
|---|---|
| University Hospital, Montpellier | OTHER |
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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%.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| exhaled air | Experimental | exhaled air analysis of patients |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| olfactory measuring device | Device | Patients blowing into bags then analysis by olfadiag system |
|
| Measure | Description | Time Frame |
|---|---|---|
| positive predictive value and negative predictive value | positive predictive value and negative predictive value of the electronic nose | 18 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Nouvelle Clinique Bonnefon | Alès | 34 | France |
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| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| D013274 | Stomach Neoplasms |
| D014571 | Urologic Neoplasms |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| D024801 |
| Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D014565 | Urogenital Neoplasms |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D014570 | Urologic Diseases |