Digital Mammography: Computer-Aided Breast Cancer Diagnosis

Tumors, Breast Clinical Trial

Official title:

Digital Mammography: Computer-Aided Breast Cancer Diagnosis

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT00732433
• Other study ID #: 2000-0227 HUM 42465
• Status: Completed
• Phase: N/A
• Start date: June 2000
• Est. completion date: January 2020

Study information

• Verified date: January 2020
• Source: University of Michigan
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 433
• Est. completion date: January 2020
• Est. primary completion date: April 30, 2008
• Accepts healthy volunteers: No
• Gender: Female
• Age group: 18 Years to 80 Years

Eligibility

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

Related Conditions & MeSH terms

• Breast Neoplasms
• Tumors, Breast

Intervention

Procedure:
• digital mammography
Using non-invasive digital mammography with computer aided programs to screen, detect and characterize breast lesions/cancer.

Locations

Country	Name	City	State
United States	University of Michigan Health System	Ann Arbor	Michigan

Sponsors (1)

Lead Sponsor	Collaborator
University of Michigan

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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.