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| Name | Class |
|---|---|
| Korean Society of Neurosonology | UNKNOWN |
| Ministry of SMEs and Startups, Republic of Korea | UNKNOWN |
| Korean Neurological Association | UNKNOWN |
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Arterial wall shear stress (WSS) contributes to atherosclerosis from its inception, progression, and disruption of plaque. However, there is no previous study for an association between cerebral artery WSS and clinical outcome in patients with ischemic stroke in lenticulostriate artery.
The researchers aimed to investigate whether the signal intensity gradient (SIG) from Time-of-Flight Magnetic Resonance Angiography (TOF MRA) in cerebral arteries, as a surrogate measure of arterial WSS, is associated with clinical outcome, which was determined with modified Rankin Scale (mRS).
The patients (n=294) with the lenticulostriate artery infarction were collected in 3 hospitals with variable locations and sizes (Gunsan, Jeonju, and Seoul). For a clinical outcome, National Institute of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) were checked serially from the date of admission. The mRS 2 or less at the 7th day or discharge was defined as a favorable outcome. The arterial SIGs were measured concurrently in both internal carotid, anterior/middle/posterior cerebral, vertebral arteries, and basilar artery from TOF MRA on initial diagnosis. The independent association between the clinical outcome and cerebral arterial SIG was analyzed adjusting for all the possible potential confounders.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Grouped as the favorable outcome | <3 mRS of discharge or 7th day in the patients with the lenticulostriate artery infarction |
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| Grouped as the unfavorable outcome | ≥3 mRS of discharge or 7th day in the patients with the lenticulostriate artery infarction |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Signal intensity gradient | Diagnostic Test | 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Change of signal intensity gradient at discharge or 7th day in the patients with the lenticulostriate artery infarction | Degrees of the signal intensity gradient (SIG) from brain TOF-MRA in major cerebral arteries are measured in the patients with the lenticulostriate artery infarction at discharge or 7th day. | Approximately 1 week |
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Inclusion Criteria:
Exclusion Criteria:
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This study is a multi-center, retrospective cohort study for all consecutive patients. From January 2015 to March 2021, patients who were diagnosed with acute ischemic stroke in the lenticulostriate artery (LSA) territory were registered at three centers (Jeonbuk National University Hospital, Samsung Medical Center, and Gunsan Medical Center). The 3 centers have their own characteristics: Gunsan Medical center is in a small city where about 300,000 citizens live, Jeonbuk National University Hospital is in a medium sized city where about 650,000 citizens live, and Samsung Medical Center is in a capital city where about 10,000,000 citizens live).
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| Name | Affiliation | Role |
|---|---|---|
| Chan-Hyuk Lee, Dr. | Jeonbuk National University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Jeonbuk National University Hospital | Jeonju | Jeollabuk-do | 54907 | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22377876 | Background | Decavel P, Vuillier F, Moulin T. Lenticulostriate infarction. Front Neurol Neurosci. 2012;30:115-9. doi: 10.1159/000333606. Epub 2012 Feb 14. | |
| 24829599 | Background | 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. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Aug 5, 2020 | Aug 8, 2022 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D000083242 | Ischemic Stroke |
| ID | Term |
|---|---|
| D020521 | Stroke |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| 28900625 | Background | 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. |
| D009422 |
| Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |