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Digital Mammography: Computer-Aided Breast Cancer Diagnosis
This study is currently recruiting participants.
Verified by University of Michigan, February 2009
First Received: August 7, 2008   Last Updated: February 17, 2009   History of Changes
Sponsored by: University of Michigan
Information provided by: University of Michigan
ClinicalTrials.gov Identifier: NCT00732433
  Purpose

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.


Condition Intervention
Breast Cancer
Breast Abnormalities
Procedure: digital mammography

Genetics Home Reference related topics: breast cancer
MedlinePlus related topics: Breast Cancer Cancer Mammography
U.S. FDA Resources
Study Type: Interventional
Study Design: Diagnostic, Non-Randomized, Open Label, Uncontrolled, Single Group Assignment
Official Title: Digital Mammography: Computer-Aided Breast Cancer Diagnosis

Further study details as provided by University of Michigan:

Primary Outcome Measures:
  • Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography. [ Designated as safety issue: No ]

Estimated Enrollment: 500
Study Start Date: May 2000
Arms Assigned Interventions
A.: Experimental Procedure: digital mammography
Using non-invasive digital mammography with computer aided programs to screen, detect and characterize breast lesions/cancer.

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.

  Eligibility

Ages Eligible for Study:   18 Years to 80 Years
Genders Eligible for Study:   Female
Accepts Healthy Volunteers:   No
Criteria

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
  Contacts and Locations
Please refer to this study by its ClinicalTrials.gov identifier: NCT00732433

Contacts
Contact: Heang-Ping Chan, Ph.D. 734-936-4357 chanhp@umich.edu

Locations
United States, Michigan
University of Michigan Health System Recruiting
Ann Arbor, Michigan, United States, 48109
Contact: Heang-Ping Chan, Ph.D.     734-936-4357     chanhp@umich.edu    
Principal Investigator: Heang-Ping Chan, Ph.D.            
Sponsors and Collaborators
University of Michigan
Investigators
Principal Investigator: Heang-Ping Chan, Ph.D. University of Michigan Health System
  More Information

No publications provided

Responsible Party: University of Michigan Health Systems ( Heang Ping Chan, Ph.D. )
Study ID Numbers: 2000-0227, NIH (CA 95153)
Study First Received: August 7, 2008
Last Updated: February 17, 2009
ClinicalTrials.gov Identifier: NCT00732433     History of Changes
Health Authority: United States: Institutional Review Board

Study placed in the following topic categories:
Skin Diseases
Breast Neoplasms
Congenital Abnormalities
Breast Diseases

Additional relevant MeSH terms:
Neoplasms
Neoplasms by Site
Skin Diseases
Breast Neoplasms
Congenital Abnormalities
Breast Diseases

ClinicalTrials.gov processed this record on May 07, 2009