Electronic Nose for Diagnosis of Neurodegenerative Diseases Via Breath Samples
NCT ID: NCT01291550
Last Updated: 2011-02-08
Study Results
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Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2010-09-30
Brief Summary
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Alveolar breath will be collected from healthy volunteers, patients with extrapyramidal conditions, patients diagnosed with dementia and from ADHD subjects. The discriminative power of a tailor-made Nanoscale Artificial Nose (™NA-NOSE) containing an array of six nanomaterial-based sensors will be tested. Discriminant factor analysis will be applied to the NA-NOSE signals in order to detect statistically significant differences between the sub-populations, and classification success will be estimated using leave-one-out cross-validation. The identification of NA-NOSE patterns will be supported by analyzing the chemical composition of the breath using gas-chromatography in conjunction with mass-spectrometry (GC-MS).
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Detailed Description
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Conditions
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Study Design
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PROSPECTIVE
Study Groups
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Nerodegenerative diseases
Patients with parkinsonism and patients with dementia
No interventions assigned to this group
Controls
No interventions assigned to this group
ADHD
Subjects diagnosed with ADHD
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Healthy subjects
* Subjects diagnosed with ADHD
ALL
Yes
Sponsors
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Technion, Israel Institute of Technology
OTHER
Rambam Health Care Campus
OTHER
Responsible Party
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Rambam Medica Center
Locations
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Cognitive Neurology, Rambam Medical Center
Haifa, , Israel
Countries
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Facility Contacts
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Michal Levavi, MA.RN
Role: backup
References
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Tisch U, Schlesinger I, Ionescu R, Nassar M, Axelrod N, Robertman D, Tessler Y, Azar F, Marmur A, Aharon-Peretz J, Haick H. Detection of Alzheimer's and Parkinson's disease from exhaled breath using nanomaterial-based sensors. Nanomedicine (Lond). 2013 Jan;8(1):43-56. doi: 10.2217/nnm.12.105. Epub 2012 Oct 15.
Other Identifiers
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0196-09
Identifier Type: -
Identifier Source: org_study_id
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