A Study on Hemodynamic Relationship Including Cerebral Blood Flow Using Phase Contrast and Signal Intensity Gradient of Brain Magnetic Resonance Imaging, and Carotid Doppler Ultrasound
NCT ID: NCT04585971
Last Updated: 2020-10-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
30 participants
OBSERVATIONAL
2020-09-03
2021-01-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Subjects
Cerebral blood flow of a subject is measured using three methods in both common carotid and vertebral arteries. 1) Phase-contrast MR 2) Doppler sonography 3) Signal Intensity Gradient (SIG) To determine whether there is a correlation between the measured values, the correlation coefficient is calculated and analyzed.
Signal intensity gradient
Signal intensity gradient:
In time-of-flight (TOF) MRA, The signal intensities at the iso-point (Φa; signal intensity at position A \[Xa\] along the arterial contour line) and at the inner point (Φb; signal intensity at position B \[Xb\]) were calculated by using a trilinear interpolation algorithm based on the positions and signal intensities in the eight neighboring voxels. The signal intensities of TOF-MRA were normalized to eliminate the offset and scale effects across the MRA datasets of participants. For each iso-point (position A), the SIG was calculated from the difference in signal intensities between points A and B as follows:
Scalar SIG, SI/mm = (Φb - Φa) / │Xb - Xa│ (1)
Vector SIG, SI/mm = (Φb - Φa) n / │Xb - Xa│ (2)
Interventions
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Signal intensity gradient
Signal intensity gradient:
In time-of-flight (TOF) MRA, The signal intensities at the iso-point (Φa; signal intensity at position A \[Xa\] along the arterial contour line) and at the inner point (Φb; signal intensity at position B \[Xb\]) were calculated by using a trilinear interpolation algorithm based on the positions and signal intensities in the eight neighboring voxels. The signal intensities of TOF-MRA were normalized to eliminate the offset and scale effects across the MRA datasets of participants. For each iso-point (position A), the SIG was calculated from the difference in signal intensities between points A and B as follows:
Scalar SIG, SI/mm = (Φb - Φa) / │Xb - Xa│ (1)
Vector SIG, SI/mm = (Φb - Φa) n / │Xb - Xa│ (2)
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Among the patients (1) who underwent carotid artery Doppler ultrasound
3. Patients who fully understand the research objectives and procedures and wish to participate in clinical research voluntarily
4. If a patient is not fully understood due to a decrease in awareness or consciousness, the consent of the legal representative is required
Exclusion Criteria
2. Those who judge that the subject is unsuitable for participation in clinical research due to other reasons.
18 Years
ALL
No
Sponsors
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Medi Image, Inc
UNKNOWN
Chonbuk National University Hospital
OTHER
Responsible Party
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Chan-Hyuk Lee
Professor
Principal Investigators
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Chan-Hyuk Lee, Prof.
Role: PRINCIPAL_INVESTIGATOR
Jeonbuk National University Hospital
Locations
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Jeonbuk National University Hospital
Jeonju, Jeollabuk-do, South Korea
Countries
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Central Contacts
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Facility Contacts
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References
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Han KS, Lee SH, Ryu HU, Park SH, Chung GH, Cho YI, Jeong SK. Direct Assessment of Wall Shear Stress by Signal Intensity Gradient from Time-of-Flight Magnetic Resonance Angiography. Biomed Res Int. 2017;2017:7087086. doi: 10.1155/2017/7087086. Epub 2017 Aug 16.
Lee WJ, Jeong SK, Han KS, Lee SH, Ryu YJ, Sohn CH, Jung KH. Impact of Endothelial Shear Stress on the Bilateral Progression of Unilateral Moyamoya Disease. Stroke. 2020 Mar;51(3):775-783. doi: 10.1161/STROKEAHA.119.028117. Epub 2019 Dec 20.
Jeong SK, Lee JY, Rosenson RS. Association between Ischemic Stroke and Vascular Shear Stress in the Carotid Artery. J Clin Neurol. 2014 Apr;10(2):133-9. doi: 10.3988/jcn.2014.10.2.133. Epub 2014 Apr 23.
Lee CH, Lee SH, Kwak HS, Kwak YG, Rosenson RS, Cho YI, Jeong SK. Validation of Signal Intensity Gradient from TOF-MRA for Wall Shear Stress by Phase-Contrast MR. J Imaging Inform Med. 2024 Jun;37(3):1248-1258. doi: 10.1007/s10278-024-00991-5. Epub 2024 Feb 8.
Other Identifiers
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SIGBF
Identifier Type: -
Identifier Source: org_study_id
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