NCT04535466Unknown不适用
Development of an Artificial Intelligence Precise Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University1 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2020年9月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- the predictive model's area under curve(AUC)
研究概览
简要总结
It is a prospective, observational cohort study of patients with dense breast tissue. The study was based on the radiomics and other clinicopathological information of patients to establish the diagnostic system for breast disease by using 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
- Female
- 接受健康志愿者
- 否
入选标准
- •Female patients with dense breast density tissue
- •Digital breast tomosynthesis was performed
- •Breast ultrasound examination was performed
- •Pathologic examination of breast lesions was performed
排除标准
- •Incomplete clinicopathologic data
- •Female patients with fatty glands of the breast
结局指标
主要结局
the predictive model's area under curve(AUC)
时间窗: follow up for 2 year for individuals
To assess the predictive accuracy of the radiomic-based and clinical-based model by using operating characteristic curve (ROC) analysis and calculating the area under the curves (AUC).
次要结局
未报告次要终点
研究者
Yaping yang
Clinical Professor
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
研究点 (1)
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