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NCT04759443

Detection of Small Fiber Neuropathy Using Skin Properties

Recruiting now Last updated 6 February 2025
What this trial tests

trial testing Image processing of skin in Small Fiber Neuropathy in 400 participants. Currently enrolling.

Timeline
1 July 2021
Primary endpoint
1 February 2027
1 February 2027

Quick facts

Lead sponsorBrigham and Women's Hospital
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment400
Start date1 July 2021
Primary completion1 February 2027
Estimated completion1 February 2027
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Brigham and Women's Hospital

Who can join

18 and older, any sex, with Small Fiber Neuropathy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Small fiber neuropathy affects millions of peoples worldwide. The neuropathy is causing disabling burning pain and dysautonomia such as dizziness with standing, brain fog, fatigue, constipation, too much or too little sweating. The detection of nerve damage is complicated and not widely available; it requires either skin biopsy or specialized equipment and training. This project utilizes the mathematical processing of skin pictures for the purpose to extract the statistical features related to loss of small fibers. This approach can improve the availability of diagnosis of small fiber neuropathy.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Small Fiber Neuropathy

Currently open trials in the same condition.

Other Brigham and Women's Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04759443.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing