Digital Mammography: Computer-Aided Breast Cancer Diagnosis

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

433 participants

Study Classification

INTERVENTIONAL

Study Start Date

2000-06-30

Study Completion Date

2020-01-31

Brief Summary

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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.

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Detailed Description

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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.

Conditions

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Tumors, Breast

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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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.

Group Type EXPERIMENTAL

digital mammography

Intervention Type PROCEDURE

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

Interventions

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