Christopher C Conlin1, Niels Oesingmann2, Bradley Bolster3, Yufeng Huang4, Vivian S Lee5, Jeff L Zhang6. 1. Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA; Department of Bioengineering, University of Utah, 36 S Wasatch Drive, Rm 3100, Salt Lake City, UT 84112, USA. Electronic address: christopher.conlin@utah.edu. 2. Siemens Medical Solutions, Inc., 660 First Avenue, 4th Floor, New York, NY 10016, USA. Electronic address: niels.oesingmann@siemens.com. 3. Siemens Medical Solutions, Inc., 729 Arapeen Drive, Salt Lake City, UT 84108, USA. Electronic address: bradley.bolster@siemens.com. 4. Division of Nephrology, Department of Internal Medicine, University of Utah, 30 N 1900 E, Rm 4R312, Salt Lake City, UT 84132, USA. Electronic address: yufeng.huang@hsc.utah.edu. 5. Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA. Electronic address: vivian.lee@hsc.utah.edu. 6. Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108, USA; Department of Bioengineering, University of Utah, 36 S Wasatch Drive, Rm 3100, Salt Lake City, UT 84112, USA. Electronic address: lei.zhang@hsc.utah.edu.
Abstract
PURPOSE: To propose and validate a method for accurately quantifying renal plasma flow (RPF) with arterial spin labeling (ASL). MATERIALS AND METHODS: The proposed method employs a tracer-kinetic approach and derives perfusion from the slope of the ASL difference signal sampled at multiple inversion-times (TIs). To validate the method's accuracy, we performed a HIPAA-compliant and IRB-approved study with 15 subjects (9 male, 6 female; age range 24-73) to compare RPF estimates obtained from ASL to those from a more established dynamic contrast-enhanced (DCE) MRI method. We also investigated the impact of TI-sampling density on the accuracy of estimated RPF. RESULTS: Good agreement was found between ASL- and DCE-measured RPF, with a mean difference of 9±30ml/min and a correlation coefficient R=0.92 when ASL signals were acquired at 16 TIs and a mean difference of 9±57ml/min and R=0.81 when ASL signals were acquired at 5 TIs. RPF estimated from ASL signals acquired at only 2 TIs (400 and 1200ms) showed a low correlation with DCE-measured values (R=0.30). CONCLUSION: The proposed ASL method is capable of measuring RPF with an accuracy that is comparable to DCE MRI. At least 5 TIs are recommended for the ASL acquisition to ensure reliability of RPF measurements. Copyright Â
PURPOSE: To propose and validate a method for accurately quantifying renal plasma flow (RPF) with arterial spin labeling (ASL). MATERIALS AND METHODS: The proposed method employs a tracer-kinetic approach and derives perfusion from the slope of the ASL difference signal sampled at multiple inversion-times (TIs). To validate the method's accuracy, we performed a HIPAA-compliant and IRB-approved study with 15 subjects (9 male, 6 female; age range 24-73) to compare RPF estimates obtained from ASL to those from a more established dynamic contrast-enhanced (DCE) MRI method. We also investigated the impact of TI-sampling density on the accuracy of estimated RPF. RESULTS: Good agreement was found between ASL- and DCE-measured RPF, with a mean difference of 9±30ml/min and a correlation coefficient R=0.92 when ASL signals were acquired at 16 TIs and a mean difference of 9±57ml/min and R=0.81 when ASL signals were acquired at 5 TIs. RPF estimated from ASL signals acquired at only 2 TIs (400 and 1200ms) showed a low correlation with DCE-measured values (R=0.30). CONCLUSION: The proposed ASL method is capable of measuring RPF with an accuracy that is comparable to DCE MRI. At least 5 TIs are recommended for the ASL acquisition to ensure reliability of RPF measurements. Copyright Â
Authors: Christopher C Conlin; Jeff L Zhang; Florian Rousset; Clement Vachet; Yangyang Zhao; Kathryn A Morton; Kristi Carlston; Guido Gerig; Vivian S Lee Journal: J Magn Reson Imaging Date: 2015-07-14 Impact factor: 4.813
Authors: K K Kwong; D A Chesler; R M Weisskoff; K M Donahue; T L Davis; L Ostergaard; T A Campbell; B R Rosen Journal: Magn Reson Med Date: 1995-12 Impact factor: 4.668
Authors: Aghogho Odudu; Fabio Nery; Anita A Harteveld; Roger G Evans; Douglas Pendse; Charlotte E Buchanan; Susan T Francis; María A Fernández-Seara Journal: Nephrol Dial Transplant Date: 2018-09-01 Impact factor: 5.992
Authors: Anita A Harteveld; Anneloes de Boer; Suzanne Lisa Franklin; Tim Leiner; Marijn van Stralen; Clemens Bos Journal: MAGMA Date: 2019-12-06 Impact factor: 2.310
Authors: Fabio Nery; Charlotte E Buchanan; Anita A Harteveld; Aghogho Odudu; Octavia Bane; Eleanor F Cox; Katja Derlin; H Michael Gach; Xavier Golay; Marcel Gutberlet; Christoffer Laustsen; Alexandra Ljimani; Ananth J Madhuranthakam; Ivan Pedrosa; Pottumarthi V Prasad; Philip M Robson; Kanishka Sharma; Steven Sourbron; Manuel Taso; David L Thomas; Danny J J Wang; Jeff L Zhang; David C Alsop; Sean B Fain; Susan T Francis; María A Fernández-Seara Journal: MAGMA Date: 2019-12-12 Impact factor: 2.533
Authors: Saba Shirvani; Paweł Tokarczuk; Ben Statton; Marina Quinlan; Alaine Berry; James Tomlinson; Peter Weale; Bernd Kühn; Declan P O'Regan Journal: Eur Radiol Date: 2018-07-10 Impact factor: 5.315