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Completed

NCT Number: NCT00732433

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.

Completed

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Key information

Conditions

Tumors, Breast Breast Diseases Breast Neoplasms Neoplasms Neoplasms by Site Skin Diseases Skin and Connective Tissue Diseases

Age range

18 year–80 year

Sex eligibility

Female

Study type

Interventional

Phase

Not applicable

Primary location

University of Michigan Health System

Ann Arbor, Michigan, 48109, United States

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Digital Mammography

Procedure

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

Primary outcomes

  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.

Sponsors and collaborators

Lead sponsor

University of Michigan

Other

Registry information

Important dates

Study start
2000
Primary completion
2008
Study completion
2020
First posted
Aug 12, 2008
Registry last updated
Jan 29, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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