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Refinement and Assessment of New Magnetic Resonance Imaging Technologies for Neurological Exams

This study is enrolling participants by invitation only.
Sponsor:
Collaborators:
General Electric
Philips Medical Systems
Information provided by (Responsible Party):
Ashok Srinivasan, M.D., University of Michigan
ClinicalTrials.gov Identifier:
NCT00739518
First received: August 20, 2008
Last updated: May 16, 2017
Last verified: May 2017
August 20, 2008
May 16, 2017
October 2004
January 2021   (Final data collection date for primary outcome measure)
Improvement in quality of MRI studies in Neuroradiology [ Time Frame: 1 year ]

Specific Measurement Are:

  1. Scan speed - is the new method as fast or faster than regular method(s)
  2. Signal to noise - Subjectively, or quantitatively do we get the same, better, or new contrast compared to the regular methods(s).
  3. Image contrast - Subjectively, or quantitatively do we get the same or better resolution compared to the regular method(s).
  4. Spatial resolution - Subjectively, or quantitatively do we get the same or better resolution compared to the regular method(s).
  5. Artifact - Subjectively, or quantitatively do we get the better artifact reduction compared to the regular method(s).
  6. Ergonomics - Is the new software easier to work or offer more information more cleanly than the regular software
  7. Patient comfort - Subjectively, does the new software and/or hardware make the patient's MRI experience more comfortable.
Not Provided
Complete list of historical versions of study NCT00739518 on ClinicalTrials.gov Archive Site
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Refinement and Assessment of New Magnetic Resonance Imaging Technologies for Neurological Exams
Refinement and Assessment of New Magnetic Resonance Imaging (MRI) Technologies
This study is being done to assess new Magnetic Resonance Imaging (MRI) technologies such as new hardware or software designed to improve MRI examinations of the brain, spine head and neck regions.

This study is being done to assess new Magnetic Resonance Imaging (MRI) technologies such as new hardware or software designed to improve MRI examinations of the brain, spine, and head & neck regions.

Software and hardware are constantly being improved, new machines replace old machines, software is updated and improved as are the devices used to produce better MRI images.

Interventional
Not Provided
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Nervous System Diseases
Procedure: MRI
Neurological MRI with new technology evaluation. The new technology may involve software or MRI scanning sequences. This is a long term research study that focuses on new technology that is constantly being created.
Experimental: MRI scan - new technology
The patient's clinical MRI scan will also utilize some new technology, such as a change in software or additional MRI sequences
Intervention: Procedure: MRI
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Enrolling by invitation
500
January 2021
January 2021   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • If you are a male or a non-pregnant female patient
  • Normal volunteer
  • presenting to MRI for a clinically-ordered neurological or head and neck MRI exam

Exclusion Criteria:

  • Patients, who have electrically, magnetically or mechanically activated implants such as heart pacemaker, magnetic surgical clips, prostheses or implanted neurological stimulator.
  • Pregnant patients or patients who are lactating.
  • A patient who is claustrophobic
Sexes Eligible for Study: All
18 Years and older   (Adult, Senior)
Yes
Contact information is only displayed when the study is recruiting subjects
United States
 
 
NCT00739518
HUM00041731
No
Not Provided
Plan to Share IPD: No
Ashok Srinivasan, M.D., University of Michigan
University of Michigan
  • General Electric
  • Philips Medical Systems
Principal Investigator: Ashok Srivinasan, MD University of Michigan
University of Michigan
May 2017

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP