Development of Computer-aided Detection and Diagnosis From Imaging Techniques
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|ClinicalTrials.gov Identifier: NCT00057252|
Recruitment Status : Active, not recruiting
First Posted : March 28, 2003
Last Update Posted : October 5, 2020
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.
|Condition or disease|
|Study Type :||Observational|
|Actual Enrollment :||139692 participants|
|Official Title:||Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images|
|Study Start Date :||March 20, 2003|
Patients with medical imaging records
- New computer-aided detection methods--algorithms [ Time Frame: Various ]computer-aided detection methods
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): NCT00057252
|United States, Maryland|
|National Institutes of Health Clinical Center, 9000 Rockville Pike|
|Bethesda, Maryland, United States, 20892|
|Principal Investigator:||Ronald M Summers, M.D.||National Institutes of Health Clinical Center (CC)|