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Chronic PainNCT04896827

DNIC Using Deep Learning and Artificial Intelligence

An observational study of Chronic Pain, run by Université de Sherbrooke at 1 site in Canada.

Suspended

Paused. Enrolment is on hold for now and may resume.

Official record
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Trial summary

Chronic pain (CP) is disabling for people triggering important costs for society. A deficit of diffuse noxious inhibitory controls (DNIC) is one of the CP mechanisms. DNICs are evaluated in research setting using a CPM protocol (conditioned pain modulation). Read more about this study

Who is it for?
Ages 18 to 79 yearsHealthy volunteers can take part
Conditions the study is for
Chronic Pain
What is being tested?
Conditioned pain modulation test
How many people
244 participants
Where
1 siteCanada
Study dates
5 Apr 2022to Dec 2028
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 79 years
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: Male and female volunteers, with and without chronic pain.

Who may be able to join

  • 18-79 years old
  • No chronic pain
  • Able to provide consent
  • 18-79 years old
  • Chronic pain (chronic pain is defined by any regular pain for more than 6 months)
  • Able to provide consent

Who cannot join

  • Cardiovascular disease (arrhythmia, cerebrovascular accident, infarction...)
  • Raynaud syndrome
  • Severe psychiatric disease (dementia, schizophrenia, psychosis, major depression)
  • Injuries or loss sensitivity to their forearms or hands
  • Pregnant women or in post-partum period (<1 year)
  • Participants with chronic pain
Show all 12Show fewer
  • Cardiovascular disease (arrhythmia, cerebrovascular accident, infarction...)
  • Raynaud syndrome
  • Severe psychiatric disease (dementia, schizophrenia, psychosis, major depression)
  • Injuries or loss sensitivity to their forearms or hands
  • Pregnant women or in post-partum period (<1 year)
  • Chronic pain caused by cancer or migraine

Trial locations and contacts

1 site in 1 country.

Canada1 site
  • Université de Sherbrooke

    Sherbrooke, Quebec, J1H 5N4

Other trials in Canada

About this study

Official title: Reference Values and Clinical Screening Test of Diffuse Noxious Inhibitory Controls (DNIC) Using Deep Learning and Artificial Intelligence

Chronic pain (CP) is disabling for people triggering important costs for society. A deficit of diffuse noxious inhibitory controls (DNIC) is one of the CP mechanisms. DNICs are evaluated in research setting using a CPM protocol (conditioned pain modulation). There is a lack of reference values on the effectiveness of DNICs. Wider research on DNIC will help to understand CP and to develop a clinical screening test evaluating DNICs. This study aims more specifically to determine whether it is possible to develop a facial recognition system to automate pain measurement and the effectiveness of pain control mechanisms.

Read the detailed description

This study aims:

  1. To develop and validate a predictive tool (using deep learning and artificial intelligence) to estimate the efficacy of pain control mechanisms.
  2. To estimate references values for facial expressions of pain control mechanisms in healthy and in chronic pain participants.

The target population will be healthy volunteers and volunteers with chronic pain, male and female, stratified by age.

The reference values (healthy volunteers) will be established via a non-parametric method for a standard conditioned pain modulation (CPM) protocol in which two "stimuli tests" of the same intensity and nature (heat) will be applied before and after the application of another "conditioning stimulus" (cold water bath). The perceived pain difference between the 1st and 2nd stimuli tests will reflect the intensity of the DNICs. Participants' facial expressions will be captured simultaneously by three cameras during the CPM testing.

These results will be compared to those from volunteers suffering with chronic pain. The clinical decision rule will result from clinical and paraclinical elements correlating with the amplitude of the efficacy of CPM (serum noradrenaline, intensity of pain, heart rate and blood pressure measurements, psychometric questionnaires assessing anxiety, depressive feelings and pain catastrophizing). Logistic regression analysis will determine the best predictors of a CPM deficit.

Conditions
Chronic Pain
Being tested
Conditioned pain modulation test
Keywords
Conditioned pain modulation (CPM), Diffuse Noxious Inhibitory Controls (DNIC), Pressure pain threshold (PPT), Reference values, Clinical decision rule, Deep learning, Artificial intelligence
Medical subject headings
Chronic Pain

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Conditioned pain modulation testOther

    Conditioned pain modulation (CPM) protocol consist of evaluating pain during a heat test, before and after one conditioning stimulus (cold water bath); 3 cameras will be capturing participants' facial expressions during the tests.

Study groups in NCT04896827
Study groupRoleWhat they receive
Chronic painPatients with chronic pain (n=100)
Receives: Other: Conditioned pain modulation test
Healthy participantsHealthy participants (n=144)
Receives: Other: Conditioned pain modulation test

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Conditioned pain modulation (CPM) profiles

    Sensitivity and specificity of the classification algorithm according to different profiles (normal vs altered) of conditioned pain modulation, as defined by the change of pain perception before and after the cold water bath measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] in healthy and in chronic pain volunteers together.

    Measured: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)

  2. Temporal summation profiles

    Sensitivity and specificity of the classification algorithm according to different profiles (normal vs altered) of temporal summation, as defined by the change of pain perception during the first stimuli test measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] in healthy and in chronic pain volunteers together.

    Measured: Once, at baseline, at recruitment (during the first stimuli test)

Secondary outcomes (8)
  1. Conditioned pain modulation (CPM) profiles of healthy volunteers

    Conditioned pain modulation, as defined by the change of pain perception before and after the cold water bath measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in healthy volunteers.

    Measured: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli

  2. Temporal summation profiles of healthy volunteers

    Temporal summation, as defined by the change of pain perception during the first stimuli test measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in healthy volunteers.

    Measured: Once, at baseline, at recruitment (during the first stimuli test)

  3. Conditioned pain modulation (CPM) profiles of volunteers with chronic pain

    Conditioned pain modulation, as defined by the change of pain perception before and after the cold water bath measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in volunteers with chronic pain.

    Measured: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)

  4. Temporal summation profiles of volunteers with chronic pain

    Temporal summation, as defined by the change of pain perception during the first stimuli test measured by computerized visual analog scale (CoVAS) ranging from 0 [no pain] to 100 [most intense pain that could be tolerated] only in volunteers with chronic pain.

    Measured: Once, at baseline, at recruitment (during the first stimuli test)

  5. Demographic factors

    Association of demographic factors (age, gender) with different response profiles of CPM and temporal summation established by the algorithm.

    Measured: Once, at baseline, at recruitment

  6. Psychologic factors

    Association of psychologic factors (anxiety measured with HADS questionnaire) with different response profiles of CPM and temporal summation established by the algorithm.

    Measured: Once, at baseline, at recruitment

  7. Physiologic factors

    Association of physiologic factors (continuous blood pressure, heart rate, electrodermal activity) with different response profiles of CPM and temporal summation established by the algorithm.

    Measured: Once, at baseline, at recruitment

  8. Facial expressions and postures

    Association of facial expressions and postures with different response profiles of CPM and temporal summation established by the algorithm.

    Measured: Once, at baseline, at recruitment

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 May 2021
  2. Study start5 Apr 2022
  3. Primary completionDec 2028 (estimated)
  4. Study completionDec 2028 (estimated)

Why it stopped: The funding of the study is challenged. We might resume enrollment if new funds are found or will terminate the study.

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Other
Time perspective
Prospective
Enrolment
244 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04896827
Sponsor's protocol ID
2021-4227
Status last verified
May 2026
First submitted
5 May 2021
Last updated
28 May 2026
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

An observational study of Chronic Pain, run by Université de Sherbrooke at 1 site in Canada.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 6 inclusion and 12 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: paused, as of the sponsor's last update on 28 May 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Conditioned pain modulation (CPM) profiles (time frame: Once, at baseline, at recruitment (comparison between 1st and 2nd test, after the conditioning stimuli)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 May 2026.

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DNIC Using Deep Learning and Artificial Intelligence | AzTrials