NCT00732433

Digital Mammography: Computer-Aided Breast Cancer Diagnosis

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 433 (actual)
• Sponsor: University of Michigan · Academic / Other
• Sex: Female
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

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.

Detailed description

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.

Conditions

• Tumors, Breast

Interventions

Type	Name	Description
PROCEDURE	digital mammography	Using non-invasive digital mammography with computer aided programs to screen, detect and characterize breast lesions/cancer.

Timeline

• Start date: 2000-06-01
• Primary completion: 2008-04-30
• Completion: 2020-01-01
• First posted: 2008-08-12
• Last updated: 2020-01-29

Locations

1 site across 1 country: United States