NCT02511119Unknown不适用
Application of Genomic Techniques and Image Processing Using Artificial Intelligence to Obtain a Predictor Model Risk of Melanoma
Maimónides Biomedical Research Institute of Córdoba0 个研究点目标入组 300 人开始时间: 2015年7月最近更新:
适应症
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 300
- 主要终点
- Number of participants with Melanoma
研究概览
简要总结
The aim of this study is to develop a predictive model of risk of developing melanoma. The investigators will used artificial intelligence techniques to analysed images patterns obtained by clinical and dermoscopic pictures. The investigators want to defined a new predictive risk model obtained from genetic information and image analysis of pigmented lesions. This model could help to discriminate more accurately those patients who are most likely to develop melanoma in a high-risk population.
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 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •≥18 years of age;
- •Followed up patients in the Pigmented Lesions Unit at Reina Sofia University Hospital with high risk of developing melanoma (First-degree family/personal history of familiar melanoma and/or melanocyticnevi above 50 and/or dysplastic or atypical nevi);
- •All nevi for which there is at least one dermatoscopy registry will be included.
排除标准
- •not enough data in the patient clinical history;
- •located lesions on the face, scalp, mucous membrane or on acral área;
- •nodular or metastatic melanoma diagnosis
- •type V or VI of Fitzpatrick phototyping scale
结局指标
主要结局
Number of participants with Melanoma
时间窗: Three years
次要结局
未报告次要终点
研究者
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