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Digital Mammography: Computer-Aided Breast Cancer Diagnosis

This study is ongoing, but not recruiting participants.
Sponsor:
Information provided by (Responsible Party):
Heang-Ping Chan Ph.D, University of Michigan
ClinicalTrials.gov Identifier:
NCT00732433
First received: August 7, 2008
Last updated: June 12, 2012
Last verified: June 2012
History of Changes

August 7, 2008
June 12, 2012
June 2000
August 2015   (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. ] [ Designated as safety issue: No ]
Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography. [ Designated as safety issue: No ]
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
Allocation: Non-Randomized
Intervention Model: Single Group Assignment
Masking: Open Label
Primary Purpose: Diagnostic
  • Breast Cancer
  • Breast Abnormalities
Procedure: digital mammography
Using non-invasive digital mammography with computer aided programs to screen, detect and characterize breast lesions/cancer.
Experimental: A.
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
August 2015
August 2015   (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
Female
18 Years to 80 Years
No
Contact information is only displayed when the study is recruiting subjects
United States
 
NCT00732433
2000-0227, NIH (CA 95153)
Yes
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
June 2012

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