Ignite Creation Date:
2024-05-06 @ 3:15 PM
Last Modification Date:
2024-10-26 @ 1:46 PM
Study NCT ID:
NCT04579237
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2023-12-22
First Post:
2020-10-07
Brief Title:
Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Existing Radiologic Images
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 Existing Radiologic Images
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2023-12-20
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:
Background
Radiologic images are getting more complex They are also being used more often Medical personnel are overwhelmed with data Computer Aided Detection CAD and diagnosis may be able to improve medical care Researchers want to create and test ways to use CAD To do this they want to use data from the Clinical Center s Department of Diagnostic Radiology
Objective
To create algorithms and software that accurately detect and characterize lesions model anatomy and monitor diseases on radiologic studies
Eligibility
People of all ages who have radiologic exams stored in the clinical PACS picture archiving system of the Clinical Center since July 6 1953 with no end date People with target lesions of any kind will be included
Design
This study will use existing data Participants will include males and females of all ages They will be chosen by keyword search on NIH databases
The data that is used may include CT MRI ultrasound and other images It may include a participant s name date of birth and date of exam It may include the name of the doctor radiologist and hospital Data such as age gender race disease and treatment may be used Other data from charts or studies may be used
Imaging data of all organs of the body will be studied
Data will be kept in computers and servers The equipment will be password protected Printouts will be stored in locked rooms
This study will last 10 years
Radiologic images are getting more complex They are also being used more often Medical personnel are overwhelmed with data Computer Aided Detection CAD and diagnosis may be able to improve medical care Researchers want to create and test ways to use CAD To do this they want to use data from the Clinical Center s Department of Diagnostic Radiology
Objective
To create algorithms and software that accurately detect and characterize lesions model anatomy and monitor diseases on radiologic studies
Eligibility
People of all ages who have radiologic exams stored in the clinical PACS picture archiving system of the Clinical Center since July 6 1953 with no end date People with target lesions of any kind will be included
Design
This study will use existing data Participants will include males and females of all ages They will be chosen by keyword search on NIH databases
The data that is used may include CT MRI ultrasound and other images It may include a participant s name date of birth and date of exam It may include the name of the doctor radiologist and hospital Data such as age gender race disease and treatment may be used Other data from charts or studies may be used
Imaging data of all organs of the body will be studied
Data will be kept in computers and servers The equipment will be password protected Printouts will be stored in locked rooms
This study will last 10 years
Detailed Description:
Study Description
This study uses artificial intelligence techniques to improve radiology diagnosis
Objective
Development of Computer Aided Detection techniques to improve radiology imaging
Study Population
Up to 1000000 NIH Clinical Center patients
Description of SitesFacilities conducting research
NIH Clinical Center
Study Duration
10 years
This study uses artificial intelligence techniques to improve radiology diagnosis
Objective
Development of Computer Aided Detection techniques to improve radiology imaging
Study Population
Up to 1000000 NIH Clinical Center patients
Description of SitesFacilities conducting research
NIH Clinical Center
Study Duration
10 years
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
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 |
|---|---|---|---|
| 000037-CC | None | None | None |