Peiying Liu1, Ivan Dimitrov1,2, Trevor Andrews2,3, David E Crane4, Jacinda K Dariotis5, John Desmond6, Julie Dumas7, Guillaume Gilbert2,8, Anand Kumar9, Bradley J Maclntosh4, Alan Tucholka8, Shaolin Yang9,10,11, Guanghua Xiao1, Hanzhang Lu1. 1. Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA. 2. MR clinical science, Philips Healthcare, Cleveland, Ohio, USA. 3. Department of Radiology, University of Vermont College of Medicine, Burlington, Vermont, USA. 4. Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada. 5. Department of Population, Family and Reproductive Health, Center for Adolescent Health, The Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. 6. Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA. 7. Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, USA. 8. Department of Radiology, Notre-Dame Hospital, University of Montreal, Montreal, QC, Canada. 9. Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, USA. 10. Department of Radiology, University of Illinois at Chicago, Chicago, Illinois, USA. 11. Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA.
Abstract
PURPOSE: Venous oxygenation (Yv ) is an important index of brain physiology and may be indicative of brain diseases. A T2 -relaxation-under-spin-tagging (TRUST) MRI technique was recently developed to measure Yv . A multisite evaluation of this technique would be an important step toward broader availability and potential clinical utilizations of Yv measures. METHODS: TRUST MRI was performed on a total of 250 healthy subjects, 125 from the developer's site and 25 each from five other sites. All sites were equipped with a 3 Tesla (T) MRI of the same vendor. The estimated Yv and the standard error (SE) of the estimation εYv were compared across sites. RESULTS: The averaged Yv and εYv across six sites were 61.1% ± 1.4% and 1.3% ± 0.2%, respectively. Multivariate regression analysis showed that the estimated Yv was dependent on age (P = 0.009) but not on performance site. In contrast, the SE of the Yv estimation was site-dependent (P = 0.024) but was less than 1.5%. Further analysis revealed that εYv was positively associated with the amount of subject motion (P < 0.001) but negatively associated with blood signal intensity (P < 0.001). CONCLUSION: This work suggests that TRUST MRI can yield equivalent results of Yv estimation across different sites.
PURPOSE: Venous oxygenation (Yv ) is an important index of brain physiology and may be indicative of brain diseases. A T2 -relaxation-under-spin-tagging (TRUST) MRI technique was recently developed to measure Yv . A multisite evaluation of this technique would be an important step toward broader availability and potential clinical utilizations of Yv measures. METHODS: TRUST MRI was performed on a total of 250 healthy subjects, 125 from the developer's site and 25 each from five other sites. All sites were equipped with a 3 Tesla (T) MRI of the same vendor. The estimated Yv and the standard error (SE) of the estimation εYv were compared across sites. RESULTS: The averaged Yv and εYv across six sites were 61.1% ± 1.4% and 1.3% ± 0.2%, respectively. Multivariate regression analysis showed that the estimated Yv was dependent on age (P = 0.009) but not on performance site. In contrast, the SE of the Yv estimation was site-dependent (P = 0.024) but was less than 1.5%. Further analysis revealed that εYv was positively associated with the amount of subject motion (P < 0.001) but negatively associated with blood signal intensity (P < 0.001). CONCLUSION: This work suggests that TRUST MRI can yield equivalent results of Yv estimation across different sites.
Authors: Peiying Liu; Charlamaine Parkinson; Dengrong Jiang; Minhui Ouyang; Jill B De Vis; Frances J Northington; Aylin Tekes; Hao Huang; Thierry A G M Huisman; W Christopher Golden Journal: NMR Biomed Date: 2019-04-30 Impact factor: 4.044
Authors: Jeffrey N Stout; M Dylan Tisdall; Patrick McDaniel; Borjan Gagoski; Divya S Bolar; Patricia Ellen Grant; Elfar Adalsteinsson Journal: Magn Reson Med Date: 2017-02-28 Impact factor: 4.668