Tumors, Breast
Conditions
Brief 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.
Interventions
PROCEDUREdigital mammography
Using non-invasive digital mammography with computer aided programs to screen, detect and characterize breast lesions/cancer.
Sponsors
University of Michigan
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* 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.
Exclusion criteria
* No subject under 18 years of age
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography. | Research scan will be completed at the time of scheduled clinical visit. |
Countries
United States
Outcome results
None listed