CompletedNot Applicable

Optical Coherence Tomography (OCT) and OCT Angiography(OCTA) Deep Learning in Waldenström's Macroglobulinemia Patients

Italy20 participantsStarted 2023-01-01

Plain-language summary

This study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in Waldenström's Macroglobulinemia patients, using optical coherence tomography angiography.

Who can participate

Age range18 Years – 80 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * age older than 18 years * diagnosis of Waldenstrom Macroglobulinemia * absence of previous ocular surgery and congenital eye diseases. * absence of errors of refraction * absence of lens opacities * absence of low-quality OCT and OCTA images Exclusion Criteria: * • age younger than 18 years * previous ocular surgery and congenital eye diseases * errors of refraction * lens opacities * low-quality OCT and OCTA images

What they're measuring

The measurements of retinal and choriocapillary vessel density in Waldenstrom Macroglobulinemia patients.

Timeframe: up to three months

Trial details

NCT IDNCT06084650

SponsorFederico II University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2023-09-30

View on ClinicalTrials.gov More Waldenstrom Macroglobulinemia trials