NCT06567028已完成不适用
Prospective Evaluation of an OSPM-Enhanced Deep Learning Model for Identifying Premalignant and Malignant Ocular Surface Tumors
Ningbo Eye Hospital1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2024年6月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 150
- 试验地点
- 1
- 主要终点
- AUROC
研究概览
简要总结
An OSPM-enhanced deep learning model has been developed for identifying premalignant and malignant tumors using data retrospectively collected from the Ningbo Eye Hospital, Jiangdong Eye Hospital, and the Eye Hospital of Wenzhou Medical University. To further substantiate the model's effectiveness, we intend to evaluate it prospectively at Ningbo Eye Hospital.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 1 Year 至 100 Years（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Ocular surface tumor images with histopathological findings
排除标准
- •Low-quality images
结局指标
主要结局
AUROC
时间窗: 3 months
area under the receiver operating characteristic curve
次要结局
未报告次要终点
研究者
研究点 (1)
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