K Nael1, B Mossadeghi2, T Boutelier3, W Kubal2, E A Krupinski2, J Dagher2, J P Villablanca4. 1. From the Department of Medical Imaging (K.N., B.M., W.K., E.A.K., J.D.), University of Arizona, Tucson, Arizona kambiznael@gmail.com. 2. From the Department of Medical Imaging (K.N., B.M., W.K., E.A.K., J.D.), University of Arizona, Tucson, Arizona. 3. Olea Medical SAS (T.B.), La Ciotat, France. 4. Department of Radiological Sciences (J.P.V.), University of California, Los Angeles, Los Angeles, California.
Abstract
BACKGROUND AND PURPOSE: DSC perfusion has been increasingly used in conjunction with other contrast-enhanced MR applications and therefore there is need for contrast-dose reduction when feasible. The purpose of this study was to establish the feasibility of reduced-contrast-dose brain DSC perfusion by using a probabilistic Bayesian method and to compare the results with the commonly used singular value decomposition technique. MATERIALS AND METHODS: Half-dose (0.05-mmol/kg) and full-dose (0.1-mmol/kg) DSC perfusion studies were prospectively performed in 20 patients (12 men; 34-70 years of age) by using a 3T MR imaging scanner and a gradient-EPI sequence (TR/TE, 1450/22 ms; flip angle, 90°). All DSC scans were processed with block circulant singular value decomposition and Bayesian probabilistic methods. SNR analysis was performed in both half-dose and full-dose groups. The CBF, CBV, and MTT maps from both full-dose and half-dose scans were evaluated qualitatively and quantitatively in both WM and GM on coregistered perfusion maps. Statistical analysis was performed by using a t test, regression, and Bland-Altman analysis. RESULTS: The SNR was significantly (P < .0001) lower in the half-dose group with 32% and 40% reduction in GM and WM, respectively. In the half-dose group, the image-quality scores were significantly higher in Bayesian-derived CBV (P = .02) and MTT (P = .004) maps in comparison with block circulant singular value decomposition. Quantitative values of CBF, CBV, and MTT in Bayesian-processed data were comparable and without a statistically significant difference between the half-dose and full-dose groups. The block circulant singular value decomposition-derived half-dose perfusion values were significantly different from those of the full-dose group both in GM (CBF, P < .001; CBV, P = .02; MTT, P = .02) and WM (CBF, P < .001; CBV, P = .003; MTT, P = .01). CONCLUSIONS: Reduced-contrast-dose (0.05-mmol/kg) DSC perfusion of the brain is feasible at 3T by using the Bayesian probabilistic method with quantitative results comparable with those of the full-dose protocol.
BACKGROUND AND PURPOSE:DSC perfusion has been increasingly used in conjunction with other contrast-enhanced MR applications and therefore there is need for contrast-dose reduction when feasible. The purpose of this study was to establish the feasibility of reduced-contrast-dose brain DSC perfusion by using a probabilistic Bayesian method and to compare the results with the commonly used singular value decomposition technique. MATERIALS AND METHODS: Half-dose (0.05-mmol/kg) and full-dose (0.1-mmol/kg) DSC perfusion studies were prospectively performed in 20 patients (12 men; 34-70 years of age) by using a 3T MR imaging scanner and a gradient-EPI sequence (TR/TE, 1450/22 ms; flip angle, 90°). All DSC scans were processed with block circulant singular value decomposition and Bayesian probabilistic methods. SNR analysis was performed in both half-dose and full-dose groups. The CBF, CBV, and MTT maps from both full-dose and half-dose scans were evaluated qualitatively and quantitatively in both WM and GM on coregistered perfusion maps. Statistical analysis was performed by using a t test, regression, and Bland-Altman analysis. RESULTS: The SNR was significantly (P < .0001) lower in the half-dose group with 32% and 40% reduction in GM and WM, respectively. In the half-dose group, the image-quality scores were significantly higher in Bayesian-derived CBV (P = .02) and MTT (P = .004) maps in comparison with block circulant singular value decomposition. Quantitative values of CBF, CBV, and MTT in Bayesian-processed data were comparable and without a statistically significant difference between the half-dose and full-dose groups. The block circulant singular value decomposition-derived half-dose perfusion values were significantly different from those of the full-dose group both in GM (CBF, P < .001; CBV, P = .02; MTT, P = .02) and WM (CBF, P < .001; CBV, P = .003; MTT, P = .01). CONCLUSIONS: Reduced-contrast-dose (0.05-mmol/kg) DSC perfusion of the brain is feasible at 3T by using the Bayesian probabilistic method with quantitative results comparable with those of the full-dose protocol.
Authors: Ona Wu; Leif Østergaard; Robert M Weisskoff; Thomas Benner; Bruce R Rosen; A Gregory Sorensen Journal: Magn Reson Med Date: 2003-07 Impact factor: 4.668
Authors: I K Andersen; A Szymkowiak; C E Rasmussen; L G Hanson; J R Marstrand; H B W Larsson; L K Hansen Journal: Magn Reson Med Date: 2002-08 Impact factor: 4.668
Authors: Kim Mouridsen; Karl Friston; Niels Hjort; Louise Gyldensted; Leif Østergaard; Stefan Kiebel Journal: Neuroimage Date: 2006-09-12 Impact factor: 6.556
Authors: K L Leenders; D Perani; A A Lammertsma; J D Heather; P Buckingham; M J Healy; J M Gibbs; R J Wise; J Hatazawa; S Herold Journal: Brain Date: 1990-02 Impact factor: 13.501
Authors: Gregory W Albers; Vincent N Thijs; Lawrence Wechsler; Stephanie Kemp; Gottfried Schlaug; Elaine Skalabrin; Roland Bammer; Wataru Kakuda; Maarten G Lansberg; Ashfaq Shuaib; William Coplin; Scott Hamilton; Michael Moseley; Michael P Marks Journal: Ann Neurol Date: 2006-11 Impact factor: 10.422
Authors: Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson Journal: AJNR Am J Neuroradiol Date: 2004-05 Impact factor: 3.825
Authors: S Hara; Y Tanaka; S Hayashi; M Inaji; T Maehara; M Hori; S Aoki; K Ishii; T Nariai Journal: AJNR Am J Neuroradiol Date: 2019-10-10 Impact factor: 3.825
Authors: Ryan A Rava; Kenneth V Snyder; Maxim Mokin; Muhammad Waqas; Ariana B Allman; Jillian L Senko; Alexander R Podgorsak; Mohammad Mahdi Shiraz Bhurwani; Jason M Davies; Elad I Levy; Adnan H Siddiqui; Ciprian N Ionita Journal: Neuroradiol J Date: 2020-06-23
Authors: R A Rava; K V Snyder; M Mokin; M Waqas; A B Allman; J L Senko; A R Podgorsak; M M Shiraz Bhurwani; Y Hoi; A H Siddiqui; J M Davies; E I Levy; C N Ionita Journal: AJNR Am J Neuroradiol Date: 2020-01-16 Impact factor: 3.825
Authors: Ryan A Rava; Alexander R Podgorsak; Muhammad Waqas; Kenneth V Snyder; Elad I Levy; Jason M Davies; Adnan H Siddiqui; Ciprian N Ionita Journal: Proc SPIE Int Soc Opt Eng Date: 2021-02-15
Authors: Adam de Havenon; Kole Mickolio; Steven O'Donnell; Greg Stoddard; J Scott McNally; Matthew Alexander; Philipp Taussky; Al-Wala Awad Journal: J Neurosurg Date: 2021-02-26 Impact factor: 5.408
Authors: Adam de Havenon; Alicia Bennett; Gregory J Stoddard; Gordon Smith; Lee Chung; Steve O'Donnell; J Scott McNally; David Tirschwell; Jennifer J Majersik Journal: Stroke Vasc Neurol Date: 2017-02-24