Rheumatoid ArthritisNCT05124990
Predictive Clinical Diagnosis of Rheumatoid Arthritis Flares Using Non-Invasive Infra-red Thermal Imaging and an AI/ML Algorithm
A study testing thermal imaging in people with Rheumatoid Arthritis, run by North Florida Foundation for Research and Education.
Trial summary
The hypothesis for this clinical research project is that the severity of RA may be detected and predicted using an optimized ML/AI algorithm that uses infrared thermal images of inflamed joints and standard clinical RA-related markers (i.e., ESR and CRP) by computing DAS-28 ESR scores in real-time. Read more about this study
- Who is it for?
- Ages 18 to 99 years
- Conditions the study is for
- Rheumatoid Arthritis
- What is being tested?
- thermal imaging
- How many people
- Not given
- Where
- No sites listed yet
- Study dates
- Start not givento not given
- Phase
- Expanded access
- 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 99 years
- All sexes
- Adult, Older adult
Who may be able to join
- rheumatoid arthritis
Who cannot join
- non complaince
About this study
The hypothesis for this clinical research project is that the severity of RA may be detected and predicted using an optimized ML/AI algorithm that uses infrared thermal images of inflamed joints and standard clinical RA-related markers (i.e., ESR and CRP) by computing DAS-28 ESR scores in real-time. The infrared thermal images coupled with clinical laboratory markers and the ML/AI algorithm are expected to assist a practicing clinician in the RA diagnosis and the prediction of the occurrence of flares in RA patients. Physicians who use this technology, would need minimum training and will be able to accurately and reliably diagnose RA using a cheaper method which does not involve incident radiation emitted by other imaging modalities such a X-RAY, musculoskeletal (MSK) ultrasound, or a magnetic resonance imaging (MRI). The aim would be to have the Infrared thermal imaging devices at remote VA clinics that do not have a rheumatology specialist where veterans can go for their inflammatory arthritis flare and get this image by the local VA RN. These clinical results can then be assessed by and discussed with a Rheumatologist via telehealth visits.
Read the detailed description
Objective #1: To assess the clinical feasibility of implementing a novel, physician assisting, diagnostic approach for RA when compared to conventional RA examination and diagnostic procedures.
This prospective, non-interventional study will assess clinically assess and diagnose the severity of RA in sero-positive RA patients experiencing active flares by using conventional examination and diagnostic methods, and compared those with a physician-assisting, diagnostic approach that involves the use of an infrared thermal imaging device, which detects heat waves to be correlated between RA patients and control subjects (i.e., those who do not have RA or who are in remission). Standard clinical laboratory values will be documented from the EHR system as well and will include ESR (sedimentation rate) and CRP (c-reactive protein).
Objective #2: To develop and optimize a ML/Artificial intelligence(AI) algorithm that would process and analyze thermal images and assist in the predictive diagnosis of RA using the DAS-28 ESR score for those thermal images of the inflamed joints of patients.
This study will predict the probability of an actual flare occurrence and its severity in RA patients by using an optimized, physician assisting ML/AI algorithm that processes and analyzes thermal images from sero-positive RA patients in pain and experiencing flares and that calculates the DAS-28 scoring system in real-time
- Conditions
- Rheumatoid Arthritis
- Being tested
- thermal imaging
- Medical subject headings
- Arthritis, Rheumatoid
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
thermal imagingDiagnostic test
no risk infrared thermal image would be used to capture pictures of the patients joints that are reported to be painful during a rheumatoid arthritis flare along iwth labs such as esr and crp. these will then be fed to a machine learning algorithm that will learn to predict the DAS 28 score for the RA patient and their flare.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Nov 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Rheumatoid ArthritisStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Expanded access
Sponsor and investigators
- Lead sponsor
- North Florida Foundation for Research and Education
- Sponsor type
- University, hospital or other
- Collaborators
- Vivadox, Infrared Cameras Incorporate
- Responsible party
- Principal investigator, Neha Narula, North Florida Foundation for Research and Education
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05124990
- Sponsor's protocol ID
- 202102571
- Status last verified
- Nov 2021
- First submitted
- 15 Nov 2021
- Last updated
- 26 Nov 2021
- Results posted
- No
Study at a glance
From the registry record, last updated by the sponsor on 26 Nov 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Predictive Clinical Diagnosis of Rheumatoid Arthritis Flares Using Non-Invasive Infra-red Thermal Imaging and an AI/ML Algorithm
- ClinicalTrials.gov ID
- NCT05124990
- Acronym / sponsor ID
- 202102571
- Conditions
- Rheumatoid Arthritis
- Study type
- Expanded access
- Recruitment status
- No Longer Available
- Lead sponsor
- North Florida Foundation for Research and EducationUniversity, hospital or other
- Collaborators
- Vivadox, Infrared Cameras Incorporate
- First posted
- 18 Nov 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The hypothesis for this clinical research project is that the severity of RA may be detected and predicted using an optimized ML/AI algorithm that uses infrared thermal images of inflamed joints and standard clinical RA-related markers (i.e., ESR and CRP) by computing DAS-28 ESR scores in real-time. The infrared thermal images coupled with clinical laboratory markers and the ML/AI algorithm are expected to assist a practicing clinician in the RA diagnosis and the prediction of the occurrence of flares in RA patients. Physicians who use this technology, would need minimum training and will be able to accurately and reliably diagnose RA using a cheaper method which does not involve incident radiation emitted by other imaging modalities such a X-RAY, musculoskeletal (MSK) ultrasound, or a magnetic resonance imaging (MRI). The aim would be to have the Infrared thermal imaging devices at remote VA clinics that do not have a rheumatology specialist where veterans can go for their inflammatory arthritis flare and get this image by the local VA RN. These clinical results can then be assessed by and discussed with a Rheumatologist via telehealth visits.
Detailed description
Objective #1: To assess the clinical feasibility of implementing a novel, physician assisting, diagnostic approach for RA when compared to conventional RA examination and diagnostic procedures.
This prospective, non-interventional study will assess clinically assess and diagnose the severity of RA in sero-positive RA patients experiencing active flares by using conventional examination and diagnostic methods, and compared those with a physician-assisting, diagnostic approach that involves the use of an infrared thermal imaging device, which detects heat waves to be correlated between RA patients and control subjects (i.e., those who do not have RA or who are in remission). Standard clinical laboratory values will be documented from the EHR system as well and will include ESR (sedimentation rate) and CRP (c-reactive protein).
Objective #2: To develop and optimize a ML/Artificial intelligence(AI) algorithm that would process and analyze thermal images and assist in the predictive diagnosis of RA using the DAS-28 ESR score for those thermal images of the inflamed joints of patients.
This study will predict the probability of an actual flare occurrence and its severity in RA patients by using an optimized, physician assisting ML/AI algorithm that processes and analyzes thermal images from sero-positive RA patients in pain and experiencing flares and that calculates the DAS-28 scoring system in real-time
Study design
Who may qualify
- Ages
- 18 to 99 years
- Sex
- All
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- rheumatoid arthritis
Key exclusion criteria (1 listed)
- non complaince
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| thermal imagingno risk infrared thermal image would be used to capture pictures of the patients joints that are reported to be painful during a rheumatoid arthritis flare along iwth labs such as esr and crp. these will then be fed to a machine learning algorithm that will learn to predict the DAS 28 score for the RA patient and their flare. | Diagnostic test | – |
Primary outcome
Not reported in the source record.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Nov 2021.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
A study testing thermal imaging in people with Rheumatoid Arthritis, run by North Florida Foundation for Research and Education.
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 1 inclusion and 1 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: status not confirmed, as of the sponsor's last update on 26 Nov 2021. Status can change between updates, so confirm with the study contact before making plans.
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.
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 26 Nov 2021.