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

Federico II University

Status: Completed

Conditions: Waldenstrom Macroglobulinemia

Study type: Observational

Funder types: Other

Identifiers

NCT06084650

05809851

Details and patient eligibility

About

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.

Full 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.

Enrollment: 20 patients

Sex: All

Ages: 18 to 80 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

20 participants in 2 patient groups

waldenstrom macroglobulinemia patients

healthy patients matched age and sex without waldenstrom macroglobulinemia and ocular disease