OCT and OCTA Deep Learning in Waldenström's Macroglobulinemia Patients
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 20
- 试验地点
- 1
- 主要终点
- The measurements of retinal and choriocapillary vessel density in Waldenstrom Macroglobulinemia patients.
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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
排除标准
- •• age younger than 18 years
- •previous ocular surgery and congenital eye diseases
- •errors of refraction
- •lens opacities
- •low-quality OCT and OCTA images
结局指标
主要结局
The measurements of retinal and choriocapillary vessel density in Waldenstrom Macroglobulinemia patients.
时间窗: 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
次要结局
未报告次要终点
研究者
Gilda Cennamo
professor
Federico II University