Development of Computer-aided Detection and Diagnosis From Imaging Techniques
- Full Text View
- Tabular View
- No Study Results Posted
- Disclaimer
- How to Read a Study Record
Purpose
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 |
|---|
|
Diagnostic Imaging |
| Study Type: | Observational |
| Official Title: | Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images |
| Enrollment: | 1962 |
| Study Start Date: | March 2003 |
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, colonic polyps and abdominal tumors, and abnormal morphology of organs. The outcome of this study will be algorithms and software that accurately detect and characterize lesions, model anatomy and monitor diseases on radiologic studies.
Eligibility| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
- 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.
Contacts and Locations| 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) |
More Information
Additional Information:
Publications:
| ClinicalTrials.gov Identifier: | NCT00057252 History of Changes |
| Obsolete Identifiers: | NCT00851097 |
| Other Study ID Numbers: | 030128, 03-CC-0128 |
| Study First Received: | July 13, 2006 |
| Last Updated: | May 1, 2013 |
| Health Authority: | United States: Federal Government |
Keywords provided by National Institutes of Health Clinical Center (CC):
|
Diagnostic Imaging Healthy Volunteer HV |
ClinicalTrials.gov processed this record on May 19, 2013