Evaluation of Pain Location, Pain Quality and Pain Patterns in Subjects With Chronic Pain
| Status: | Recruiting |
|---|---|
| Conditions: | Chronic Pain |
| Therapuetic Areas: | Musculoskeletal |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 4/2/2016 |
| Start Date: | June 2004 |
| Contact: | Colin R Taylor, MD |
| Email: | crtaylor@masterdocs.com |
| Phone: | 212-734-3449 |
Internet-based Study of 10,000 Subjects With Chronic Pain, Including Subject-drawn Pain Diagrams, and Computer-generated Composite Images of Pain Patterns
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 diagnosis/pain 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.
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 diagnosis/pain 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.
Earlier work performed by the Sponsor (TMT) included development of a MatLab/ImageJ 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. TMT's
analysis established correlations between the pain diagram information and the underlying
diagnosis and pain type (e.g., 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.
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. TMT's
analysis established correlations between the pain diagram information and the underlying
diagnosis and pain type (e.g., 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.
Inclusion Criteria:
- Male and female subjects at least 18 years of age and of legal age of consent for the
state in which they live.
- Able to respond to a questionnaire written in English.
- Report chronic pain (constant or recurring pain lasting more than 30 days and causing
significant discomfort or limitation of activity).
- Provide informed consent to participate in the study.
Exclusion Criteria:
- Currently participating in another clinical trial.
- Institutionalized person such as a prisoner or nursing home resident.
- Questionnaire response suggests a medical or psychological condition that, in the
opinion of the investigator, would compromise participation in the study, or suggests
any other condition which, in the investigator's judgment, might increase the risk to
the subject or decrease the chance of obtaining valid data.
- Pain has resulted in a workman's compensation case.
- Pain has resulted in litigation.
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