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Evaluation of Pain Location, Pain Quality and Pain Patterns in Subjects With Chronic Pain

The recruitment status of this study is unknown. The completion date has passed and the status has not been verified in more than two years.
Verified September 2006 by Taylor MicroTechnology.
Recruitment status was:  Recruiting
Information provided by:
Taylor MicroTechnology Identifier:
First received: January 30, 2006
Last updated: June 24, 2011
Last verified: September 2006
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.


Study Type: Observational
Study Design: Observational Model: Cohort
Time Perspective: Prospective
Official Title: Internet-based Study of 10,000 Subjects With Chronic Pain, Including Subject-drawn Pain Diagrams, and Computer-generated Composite Images of Pain Patterns

Resource links provided by NLM:

Further study details as provided by Taylor MicroTechnology:

Estimated Enrollment: 1000
Study Start Date: June 2004
Detailed Description:
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.

Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Volunteers recruited in Internet study.

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.
  Contacts and Locations
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Please refer to this study by its identifier: NCT00284245

Contact: Colin R Taylor, MD 212-734-3449

United States, New York
Taylor MicroTechnology, Inc. Recruiting
New York, New York, United States, 10021
Contact: Colin R Taylor, MD    212-734-3449   
Principal Investigator: Colin R Taylor, MD         
Sponsors and Collaborators
Taylor MicroTechnology
Principal Investigator: Colin R Taylor, MD Taylor MicroTechnology, Inc.
  More Information

Additional Information:
Responsible Party: Colin R Taylor, Taylor MicroTechnology, Inc. Identifier: NCT00284245     History of Changes
Obsolete Identifiers: NCT00915395
Other Study ID Numbers: TMT-B-011
Study First Received: January 30, 2006
Last Updated: June 24, 2011

Keywords provided by Taylor MicroTechnology:
Chronic Pain
Computer Analysis
Pain Diagrams

Additional relevant MeSH terms:
Chronic Pain
Chronic Disease
Neurologic Manifestations
Nervous System Diseases
Signs and Symptoms
Disease Attributes
Pathologic Processes processed this record on May 22, 2017