Viewing Study NCT00057252



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Last Modification Date: 2024-10-26 @ 9:08 AM
Study NCT ID: NCT00057252
Status: COMPLETED
Last Update Posted: 2021-01-22
First Post: 2006-07-13

Brief Title: Development of Computer-aided Detection and Diagnosis From Imaging Techniques
Sponsor: National Institutes of Health Clinical Center CC
Organization: National Institutes of Health Clinical Center CC

Study Overview

Official Title: Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images
Status: COMPLETED
Status Verified Date: 2021-01
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
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
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 Centers 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 Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None
Secondary IDs
Secondary ID Type Domain Link
03-CC-0128 None None None