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Validation of Signal Intensity Gradient from TOF-MRA for Wall Shear Stress by Phase-Contrast MR
Journal article   Peer reviewed

Validation of Signal Intensity Gradient from TOF-MRA for Wall Shear Stress by Phase-Contrast MR

Chan-Hyuk Lee, Sang Hyuk Lee, Hyo-Sung Kwak, Yeong-Gon Kwak, Robert S. Rosenson, Young I. Cho and Seul-Ki Jeong
Journal of imaging informatics in medicine, v 37(3), pp 1248-1258
01 Jun 2024
PMID: 38332403
url
https://pmc.ncbi.nlm.nih.gov/articles/PMC11169296/pdf/10278_2024_Article_991.pdfView
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Abstract

To validate the correlation between the signal intensity gradient (SIG) from time-of-flight magnetic resonance angiography (TOF-MRA) and wall shear stress (WSS) determined by phase contrast magnetic resonance (PC-MR), we conducted both experimental and human studies. In the experimental study, we measured WSS in four tubes of different sizes with variable flow rates using PC-MR and TOF-MRA. The flow rates of water in the experimental study ranged from 0.06 to 12.75 mL/s, resulting in PC-WSS values between 0.1 and 1.6 dyne/cm 2 . The correlation between PC-WSS and SIG was statistically significant, showing a coefficient of 0.86 ( P  < 0.001, R 2  = 0.75). The line fit provided the conversion equation as Y  = 1.6287 X  − 1.1563 ( Y  = PC-WSS, X  = SIG). For the human study, 28 subjects underwent TOF-MRA and PC-MR examinations of carotid and vertebral arteries. Arterial PC-WSS and SIG were determined in the same segment for each subject. The arterial PC-WSS ranged from 1.9 to 21.0 dyne/cm 2 . Both carotid and vertebral arteries showed significant correlations between PC-WSS and SIG, with coefficients of 0.85, 0.86, 0.91, and 0.81 in the right and left carotid and vertebral arteries, respectively. Our results show that SIG from TOF-MRA and SIG-WSS derived from the conversion equation provide concurrent in vivo hemodynamic information on arterial shear stress. This study was registered on ClinicalTrials.gov with the identifier NCT04585971 on October 14, 2020.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Radiology, Nuclear Medicine & Medical Imaging
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