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Development of Computer-aided Detection and Diagnosis From Imaging Techniques

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00057252
Recruitment Status : Active, not recruiting
First Posted : March 28, 2003
Last Update Posted : October 5, 2020
Information provided by (Responsible Party):
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.

Condition or disease

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.

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Study Type : Observational
Actual Enrollment : 139692 participants
Observational Model: Other
Time Perspective: Other
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

Primary Outcome Measures :
  1. New computer-aided detection methods--algorithms [ Time Frame: Various ]
    computer-aided detection methods

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

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Ages Eligible for Study:   Child, Adult, Older Adult
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Patients with medical imaging records

Inclusion criteria are the availability of radiologic examinations in the clinical PACS (picture archiving system) in the Clinical Center. Existing Patient scans with and without the target lesion will be included. Examples of target lesions include subcutaneous and bone lesions and pulmonary emboli, although patient scans with other disorders depicted on radiologic studies may be included when appropriate. Patient scans without the target lesion may be included to determine the specificity of the computer aided detection or diagnosis algorithm.


There are no exclusion criteria.

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 identifier (NCT number): NCT00057252

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United States, Maryland
National Institutes of Health Clinical Center, 9000 Rockville Pike
Bethesda, Maryland, United States, 20892
Sponsors and Collaborators
National Institutes of Health Clinical Center (CC)
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Principal Investigator: Ronald M Summers, M.D. National Institutes of Health Clinical Center (CC)
Additional Information:
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Responsible Party: National Institutes of Health Clinical Center (CC) Identifier: NCT00057252    
Obsolete Identifiers: NCT00851097
Other Study ID Numbers: 030128
First Posted: March 28, 2003    Key Record Dates
Last Update Posted: October 5, 2020
Last Verified: August 31, 2020
Keywords provided by National Institutes of Health Clinical Center (CC):
Diagnostic Radiology
Healthy Volunteer