Ignite Creation Date:
2024-05-05 @ 11:16 PM
Last Modification Date:
2024-10-26 @ 10:31 AM
Study NCT ID:
NCT01291550
Status:
UNKNOWN
Last Update Posted:
2011-02-08
First Post:
2011-02-07
Brief Title:
Electronic Nose for Diagnosis of Neurodegenerative Diseases Via Breath Samples
Sponsor:
Rambam Health Care Campus
Organization:
Rambam Health Care Campus
Study Overview
Official Title:
None
Status:
UNKNOWN
Status Verified Date:
2010-09
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The diagnosis of neurodegenerative conditions and ADHD still mostly relies on clinical symptoms as there are no validated inexpensive and simple bio- markers available yet The purpose of this study is to deliver a proof-of-concept for novel biomarkers to identify neurodegenerative conditions and ADHD based on breath testing
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
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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None