Development of Computer-aided Detection and Diagnosis From Imaging Techniques

January 21, 2021 updated by: National Institutes of Health Clinical Center (CC)

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.

Study Overview

Status

Completed

Conditions

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.

Study Type

Observational

Enrollment (Actual)

139692

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • Maryland
      • Bethesda, Maryland, United States, 20892
        • National Institutes of Health Clinical Center, 9000 Rockville Pike

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with medical imaging records

Description

  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Other
  • Time Perspectives: Other

Cohorts and Interventions

Group / Cohort
1
Patients with medical imaging records

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
New computer-aided detection methods--algorithms
Time Frame: Various
computer-aided detection methods
Various

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

National Institutes of Health Clinical Center (CC)

Investigators

  • Principal Investigator: Ronald M Summers, M.D., National Institutes of Health Clinical Center (CC)

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 20, 2003

Primary Completion (Actual)

October 2, 2020

Study Completion (Actual)

October 2, 2020

Study Registration Dates

First Submitted

July 13, 2006

First Submitted That Met QC Criteria

March 27, 2003

First Posted (Estimate)

March 28, 2003

Study Record Updates

Last Update Posted (Actual)

January 22, 2021

Last Update Submitted That Met QC Criteria

January 21, 2021

Last Verified

January 1, 2021

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 030128
  • 03-CC-0128

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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