University of Naples "Federico II" Naples, Italy, 80100 Contact: Gilda Cennamo, MD 00390817143731 [email protected]
Naples, Italy
NCT Number: NCT06084650
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.
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Notify Me18 year–80 year
All sexes
Observational
Naples, Italy
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: up to three months
The parameters analyzed by optical coherence tomography angiography were: retinal and choriocapillary vessel density matched with clinical parameters resulted from the artificial pancreas device
Federico II University
Other
OCT and OCTA Deep Learning in Waldenström's Macroglobulinemia Patients
Acronym: OCTA
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