Trials / Completed
CompletedNCT06084650
Optical Coherence Tomography (OCT) and OCT Angiography(OCTA) Deep Learning in Waldenström's Macroglobulinemia Patients
OCT and OCTA Deep Learning in Waldenström's Macroglobulinemia Patients
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 20 (actual)
- Sponsor
- Federico II University · Academic / Other
- Sex
- All
- Age
- 18 Years – 80 Years
- Healthy volunteers
- Accepted
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.
Detailed description
Waldenstrom macroglobulinemia (mak-roe-glob-u-lih-NEE-me-uh) is a rare type of cancer that begins in the white blood cells. The optical coherence tomography angiography represents a novel and noninvasive diagnostic technique that allows a detailed and quantitative analysis of retinal and choriocapillary vascular features. The study evaluates the changes in optical coherence tomography angiography features in Waldenstrom macroglobulinemia, elaborating these data with artificial intelligence.
Conditions
Timeline
- Start date
- 2023-01-01
- Primary completion
- 2023-09-30
- Completion
- 2023-10-01
- First posted
- 2023-10-16
- Last updated
- 2024-05-22
Locations
1 site across 1 country: Italy
Source: ClinicalTrials.gov record NCT06084650. Inclusion in this directory is not an endorsement.