Development of Computer-aided Detection and Diagnosis From Imaging Techniques

This study is currently recruiting participants. (see Contacts and Locations)
Verified April 2014 by National Institutes of Health Clinical Center (CC)
Sponsor:
Information provided by:
National Institutes of Health Clinical Center (CC)
ClinicalTrials.gov Identifier:
NCT00057252
First received: July 13, 2006
Last updated: July 3, 2014
Last verified: April 2014

July 13, 2006
July 3, 2014
March 2003
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New computer-aided detection methods--algorithms [ Time Frame: Various ] [ Designated as safety issue: No ]
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Complete list of historical versions of study NCT00057252 on ClinicalTrials.gov Archive Site
No records have been added
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Development of Computer-aided Detection and Diagnosis From Imaging Techniques
Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images

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.

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.

Observational
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Cancer
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*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruiting
100000
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  • INCLUSION CRITERIA:

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.

EXCLUSION CRITERIA:

There are no exclusion criteria.

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Contact: Kristine S. Evers (301) 827-1827 kristine.evers@nih.gov
Contact: Ronald M Summers, M.D. (301) 402-5486 rsummers@mail.cc.nih.gov
United States
 
NCT00057252
030128, 03-CC-0128
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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)
National Institutes of Health Clinical Center (CC)
April 2014

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP