Digital Mammography: Computer-Aided Breast Cancer Diagnosis
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 433
- 试验地点
- 2
- 主要终点
- Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography.
研究概览
简要总结
The purpose of this study is to develop computer programs to assist radiologists in finding breast cancer on mammograms and to compare the computer's accuracy of detecting cancers on direct digital and film mammograms.
详细描述
To develop a computer-aided diagnosis (CAD) system for full field digital mammography (FFDM) using advanced computer vision techniques and to evaluate the effects of CAD on interpretation of digital mammograms (DMs). This system will assist radiologists with the four most important areas in mammographic interpretation: (1) detection of masses, (2) classification of masses, (3) detection of microcalcifications, (4) classification of microcalcifications. The proposed approach is distinctly different from previous approaches in that image information from two-view and bilateral mammograms will be fused with that from the single-view mammogram to improve lesion detection and characterization.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
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
- •Females who have been scheduled for mammographic exams.
- •Females who have been recommended for work-up or biopsy due to a suspicious finding on their mammogram.
- •Females who can give informed consent.
排除标准
- •No subject under 18 years of age
结局指标
主要结局
Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography.
时间窗: Research scan will be completed at the time of scheduled clinical visit.
次要结局
未报告次要终点
研究者
Heang-Ping Chan Ph.D
Principal Investigator
University of Michigan