Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Existing Radiologic Images
NCT04579237 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 144625
Last updated 2025-09-30
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.
Conditions
- Radiology Information Systems
Sponsors & Collaborators
-
National Institutes of Health Clinical Center (CC)
lead NIH
Principal Investigators
-
Ronald M Summers, M.D. · National Institutes of Health Clinical Center (CC)
Eligibility
- Min Age
- 1 Year
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-10-05
- Primary Completion
- 2030-06-30
- Completion
- 2030-06-30
Countries
- United States
Study Locations
More Related Trials
-
Deep Learning Reconstruction Algorithms in Dual Low-dose CTA
NCT06372756 ·Status: RECRUITING
-
Magnetic Resonance Imaging (MRI) Analysis of Coronary Artery Plaque Components
NCT00559728 ·Status: COMPLETED
-
Development of 3T Magnetic Resonance Research Methods for NIA Studies
NCT01324206 ·Status: RECRUITING
-
MRI Technical Development and Applications in Kidney Disease
NCT02421497 ·Status: NOT_YET_RECRUITING
-
Prospective Evaluation of Next Generation CT Reconstruction (NextGenIR)
NCT02417714 ·Status: RECRUITING
-
Computational Imaging Research Based on Deep Learning
NCT05471869 ·Status: UNKNOWN
-
Artificial Intelligent Image Processing and Diagnosis of Pulmonary Vessels in CT
NCT06589843 ·Status: NOT_YET_RECRUITING
-
Improve MRI Diagnosis
NCT05744102 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Technical Development of Cardiovascular Magnetic Resonance Imaging
NCT04927429 ·Status: RECRUITING
-
Comparison of Cardiac Computed Tomography and Vasodilator Stress Magnetic Resonance Imaging Perfusion in Patients With Prior Equivocal Stress Test for Detection of Coronary Artery Disease
NCT00929227 ·Status: COMPLETED
-
Automatic Diagnosis of Spinal Stenosis on CT
NCT03746561 ·Status: UNKNOWN
-
Application of Functional Renal MRI to Improve Assessment of Chronic Kidney Disease
NCT04238299 ·Status: ACTIVE_NOT_RECRUITING
-
Next-Generation Photon-Counting CT Technology: Development and Clinical Evaluation
NCT06691659 ·Status: RECRUITING
-
Identifying Vulnerable CoronAry PLaqUes With Artificial IntElligence-assisted CT Angiography
NCT06025305 ·Status: ENROLLING_BY_INVITATION
-
Reader Study to Demonstrate That Use of ClearRead Confirm is Superior to the Use Standard AP/PA X-ray Image
NCT01655329 ·Status: COMPLETED
-
Refinement and Assessment of New MRI Technologies for Thoracic/ Cardiovascular Exams
NCT00727792 ·Status: COMPLETED ·Phase: NA
-
Detecting Heart Disease Using First Pass Imaging With Gated SPECT Perfusion
NCT01137409 ·Status: COMPLETED
-
Pilot Study Intended to Provide Input for Future Designs Using the PET Alpha Ring Detector
NCT01731860 ·Status: COMPLETED ·Phase: NA
-
Motion Analysis and Assessment of Cardiac Function for Cardiac Images
NCT01627964 ·Status: COMPLETED
-
NHLBI-Emory Advanced Cardiac CT Reconstruction
NCT05372627 ·Status: NOT_YET_RECRUITING
-
Deep Learning Algorithm for Detecting Obstructive Coronary Artery Disease Using Fundus Photographs
NCT06102226 ·Status: RECRUITING
-
Clinical and Radiomic Model of COVID-19
NCT04337502 ·Status: COMPLETED
-
Prospective Multicenter Registry On Radiation Dose Estimates Of Cardiac CT Angiography in Daily Practice in 2017 (PROTECTION VI)
NCT03253692 ·Status: COMPLETED
-
Knowledge-based Iterative Model Reconstruction at Low-kilovoltage (kV) Cardiac Computed Tomography (CT)
NCT01896674 ·Status: COMPLETED
-
Determining the Impact of Shunting and CerebroVascular Reactivity on 7T MRI (DISCoVeR 7T MRI)
NCT03291340 ·Status: COMPLETED