Trial record 5 of 87 for:    Chest X Ray | Open Studies | NIH, U.S. Fed

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
  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
Cancer

Study Type: Observational
Official Title: Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images

Resource links provided by NLM:


Further study details as provided by National Institutes of Health Clinical Center (CC):

Primary Outcome Measures:
  • New computer-aided detection methods--algorithms [ Time Frame: Various ] [ Designated as safety issue: No ]

Secondary Outcome Measures:
  • No records have been added

Estimated Enrollment: 100000
Study Start Date: March 2003
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.

  Eligibility

Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   No
Criteria
  • 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
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, see Learn About Clinical Studies.

Please refer to this study by its ClinicalTrials.gov identifier: NCT00057252

Contacts
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

Locations
United States, Maryland
National Institutes of Health Clinical Center, 9000 Rockville Pike Recruiting
Bethesda, Maryland, United States, 20892
Contact: For more information at the NIH Clinical Center contact Patient Recruitment and Public Liaison Office (PRPL)    800-411-1222 ext TTY8664111010    prpl@mail.cc.nih.gov   
Sponsors and Collaborators
Investigators
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: July 3, 2014
Health Authority: United States: Federal Government

Keywords provided by National Institutes of Health Clinical Center (CC):
Diagnostic Radiology
Imaging
Algorithms
Healthy Volunteer
HV

ClinicalTrials.gov processed this record on August 01, 2014