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Digital Mammography: Computer-Aided Breast Cancer Diagnosis

This study is ongoing, but not recruiting participants.
Sponsor:
ClinicalTrials.gov Identifier:
NCT00732433
First Posted: August 12, 2008
Last Update Posted: September 7, 2017
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Information provided by (Responsible Party):
Heang-Ping Chan Ph.D, University of Michigan
August 7, 2008
August 12, 2008
September 7, 2017
June 2000
January 2020   (Final data collection date for primary outcome measure)
Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography. [ Time Frame: Research scan will be completed at the time of scheduled clinical visit. ]
Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography.
Complete list of historical versions of study NCT00732433 on ClinicalTrials.gov Archive Site
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Digital Mammography: Computer-Aided Breast Cancer Diagnosis
Digital Mammography: Computer-Aided Breast Cancer Diagnosis
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.
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.
Interventional
Not Provided
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Tumors, Breast
Procedure: digital mammography
Using non-invasive digital mammography with computer aided programs to screen, detect and characterize breast lesions/cancer.
Experimental: digital mammogram

Digital mammography is a non-invasive imaging technique to obtain an x-ray image of the breast.

Two-view digital mammogram of the breast with a lesion that has been recommended for biopsy during the subject's regular clinical care. The digital mammogram is then analyzed by a computer program.

Intervention: Procedure: digital mammography
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Active, not recruiting
500
January 2020
January 2020   (Final data collection date for primary outcome measure)

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
Sexes Eligible for Study: Female
18 Years to 80 Years   (Adult, Senior)
No
Contact information is only displayed when the study is recruiting subjects
United States
 
 
NCT00732433
2000-0227
Yes
Not Provided
Not Provided
Heang-Ping Chan Ph.D, University of Michigan
University of Michigan
Not Provided
Principal Investigator: Heang-Ping Chan, Ph.D. University of Michigan
University of Michigan
September 2017

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP