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Digital Mammography: Computer-Aided Breast Cancer Diagnosis

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ClinicalTrials.gov Identifier: NCT00732433
Recruitment Status : Completed
First Posted : August 12, 2008
Last Update Posted : January 29, 2020
Sponsor:
Information provided by (Responsible Party):
Heang-Ping Chan Ph.D, University of Michigan

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.

Condition or disease Intervention/treatment Phase
Tumors, Breast Procedure: digital mammography Not Applicable

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.

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Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 433 participants
Allocation: N/A
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Official Title: Digital Mammography: Computer-Aided Breast Cancer Diagnosis
Actual Study Start Date : June 2000
Actual Primary Completion Date : April 30, 2008
Actual Study Completion Date : January 2020

Resource links provided by the National Library of Medicine


Arm Intervention/treatment
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.

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




Primary Outcome Measures :
  1. 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. ]


Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 80 Years   (Adult, Older Adult)
Sexes 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

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00732433


Locations
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United States, Michigan
University of Michigan Health System
Ann Arbor, Michigan, United States, 48109
Sponsors and Collaborators
University of Michigan
Investigators
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Principal Investigator: Heang-Ping Chan, Ph.D. University of Michigan
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Responsible Party: Heang-Ping Chan Ph.D, Principal Investigator, University of Michigan
ClinicalTrials.gov Identifier: NCT00732433    
Other Study ID Numbers: 2000-0227 HUM 42465
First Posted: August 12, 2008    Key Record Dates
Last Update Posted: January 29, 2020
Last Verified: January 2020
Additional relevant MeSH terms:
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Breast Neoplasms
Neoplasms by Site
Neoplasms
Breast Diseases
Skin Diseases