Ignite Creation Date:
2024-05-05 @ 4:38 PM
Last Modification Date:
2024-10-26 @ 9:22 AM
Study NCT ID:
NCT00284245
Status:
UNKNOWN
Last Update Posted:
2011-06-28
First Post:
2006-01-30
Brief Title:
Evaluation of Pain Location Pain Quality and Pain Patterns in Subjects With Chronic Pain
Sponsor:
Taylor MicroTechnology
Organization:
Taylor MicroTechnology
Study Overview
Official Title:
Internet-based Study of 10000 Subjects With Chronic Pain Including Subject-drawn Pain Diagrams and Computer-generated Composite Images of Pain Patterns
Status:
UNKNOWN
Status Verified Date:
2006-09
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:
In earlier work the Sponsor developed a computer image processing system for analysis of pain diagrams from patients with chronic pain This system was then tested in a study in over 500 chronic pain patients seen by both primary care practitioners and pain specialists The hypothesis was that pain location would correlate with the pain type and the underlying cause of the pain In the study the computer analysis demonstrated clear correlations between pain diagram data and diagnosispain type The present study extends these observations in a web-based setting with a focus on the value of computer analysis of pain diagrams as diagnostic predictors
Detailed Description:
Earlier work performed by the Sponsor TMT included development of a MatLabImageJ computer image processing system for generation of composite images from pain diagrams drawn by patients with pain and for calculation of related quantitative variables The system was tested in a pharmaceutical company-sponsored US study in over 500 chronic pain patients seen by primary care practitioners and then seen by pain specialists The hypothesis was that pain location would correlate with the pain type and the underlying cause of the pain TMTs analysis established correlations between the pain diagram information and the underlying diagnosis and pain type eg nociceptive or neuropathic reported by the pain specialists The present study extends these observations in a web-based setting with particular emphasis on automated computer-generated visual pain patterns as diagnostic predictors
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
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| 04076-01 | None | None | None |