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NCT04743362

A Study of Noninvasive Methods to Evaluate Skin and Mucosal Conditions

Recruiting now Last updated 19 March 2026
What this trial tests

trial testing Dermoscopic imaging in Skin Lesion in 5,010 participants. Currently enrolling.

Timeline
2 February 2021
Primary endpoint
2 August 2031
2 August 2031

Quick facts

Lead sponsorMemorial Sloan Kettering Cancer Center
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment5,010
Start date2 February 2021
Primary completion2 August 2031
Estimated completion2 August 2031
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Memorial Sloan Kettering Cancer Center — full company profile →

Who can join

Eligibility, any sex, with Skin Lesion or Mucosal Lesion. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this study is to find out whether using noninvasive methods to study the appearance of lesions can improve diagnostic accuracy before a biopsy is required and help guide treatment planning. The database created to store these images is called an Image Repository, and it will be used to support clinical practice, teaching and training, and future research.The High-resolution OCT (Apollo Medical Optics) device ApolloVue® S100 Image System (medical device Class II) can provide both cross-sectional and en-face images with cellular information.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Skin Lesion

Currently open trials in the same condition.

Other Memorial Sloan Kettering Cancer Center 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/NCT04743362.

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