Development of Computer-aided Detection and Diagnosis From Imaging Techniques

Completed

• Conditions: Cancer

• Registration Number: NCT00057252
• Lead Sponsor: National Institutes of Health Clinical Center (CC)

Brief Summary

This study will develop and evaluate new techniques for computer-aided detection and diagnosis (CAD) of medical problems using images from diagnostic tests such as computed tomography (CT), ultrasound, nuclear medicine and x-ray images. The Food and Drug Administration has approved CAD techniques for detecting masses and calcifications on mammography and lung nodules using chest x-rays. Many other applications of CAD would potentially benefit patients. This study will explore additional uses of CAD.

The study will use imaging data, demographic information, and other medical information from the medical charts of Clinical Center patients to test and evaluate new CAD applications. Such applications include detection of subcutaneous (under the skin) lesions in melanoma patients, bone lesions in patients with advanced cancer, and pulmonary emboli (blood clot lodged in a lung artery) in patients who are known to have pulmonary emboli, and other uses.

Detailed Description

Radiologic images are becoming more and more complex, and utilization of radiologic techniques is accelerating. Radiologists and other clinicians are being inundated with radiologic data. Computer aided detection and diagnosis (CAD) have the potential to improve patient care by increasing sensitivity of diagnostic tests, reducing false positives and improving physician efficiency. Computer aided detection and diagnosis have been under development for many years yet there is still much work to be done to move it from the bench to the bedside. The purpose of this project is to develop and evaluate techniques for CAD using the existing radiologic data available in the Clinical Center's Department of Diagnostic Radiology. Such techniques include but are not limited to automated detection of melanoma, bone metastases and pulmonary emboli. The outcome of this study will be algorithms and software that accurately detect lesions on radiologic studies.

Study Timeline

• Study Start: 2003-03-20
• Study First Submitted QC: 2003-03-27
• Study First Posted: 2003-03-28
• Study First Submitted: 2006-07-13
• Primary Completion: 2020-10-02
• Study Completion: 2020-10-02
• Status Verified: 2021-01
• Last Update Submitted: 2021-01-21
• Last Update Posted: 2021-01-22

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 139692

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
New computer-aided detection methods--algorithms	Various	computer-aided detection methods

Trial Locations

Locations (1)

National Institutes of Health Clinical Center, 9000 Rockville Pike; 🇺🇸 Bethesda, Maryland, United States