Literature DB >> 28034995

Effects of MRI Protocol Parameters, Preload Injection Dose, Fractionation Strategies, and Leakage Correction Algorithms on the Fidelity of Dynamic-Susceptibility Contrast MRI Estimates of Relative Cerebral Blood Volume in Gliomas.

K Leu1,2,3, J L Boxerman4, B M Ellingson5,2,6,3,7.   

Abstract

BACKGROUND AND
PURPOSE: DSC perfusion MR imaging assumes that the contrast agent remains intravascular; thus, disruptions in the blood-brain barrier common in brain tumors can lead to errors in the estimation of relative CBV. Acquisition strategies, including the choice of flip angle, TE, TR, and preload dose and incubation time, along with post hoc leakage-correction algorithms, have been proposed as means for combating these leakage effects. In the current study, we used DSC-MR imaging simulations to examine the influence of these various acquisition parameters and leakage-correction strategies on the faithful estimation of CBV.
MATERIALS AND METHODS: DSC-MR imaging simulations were performed in 250 tumors with perfusion characteristics randomly generated from the distributions of real tumor population data, and comparison of leakage-corrected CBV was performed with a theoretic curve with no permeability. Optimal strategies were determined by protocol with the lowest mean error.
RESULTS: The following acquisition strategies (flip angle/TE/TR and contrast dose allocation for preload and bolus) produced high CBV fidelity, as measured by the percentage difference from a hypothetic tumor with no leakage: 1) 35°/35 ms/1.5 seconds with no preload and full dose for DSC-MR imaging, 2) 35°/25 ms/1.5 seconds with ¼ dose preload and ¾ dose bolus, 3) 60°/35 ms/2.0 seconds with ½ dose preload and ½ dose bolus, and 4) 60°/35 ms/1.0 second with 1 dose preload and 1 dose bolus.
CONCLUSIONS: Results suggest that a variety of strategies can yield similarly high fidelity in CBV estimation, namely those that balance T1- and T2*-relaxation effects due to contrast agent extravasation.
© 2017 by American Journal of Neuroradiology.

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Year:  2016        PMID: 28034995      PMCID: PMC7959993          DOI: 10.3174/ajnr.A5027

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  30 in total

1.  Abnormalities of the contrast re-circulation phase in cerebral tumors demonstrated using dynamic susceptibility contrast-enhanced imaging: a possible marker of vascular tortuosity.

Authors:  A Kassner; D J Annesley; X P Zhu; K L Li; I D Kamaly-Asl; Y Watson; A Jackson
Journal:  J Magn Reson Imaging       Date:  2000-02       Impact factor: 4.813

2.  Simultaneous quantitative cerebral perfusion and Gd-DTPA extravasation measurement with dual-echo dynamic susceptibility contrast MRI.

Authors:  E P Vonken; M J van Osch; C J Bakker; M A Viergever
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

3.  Effects of tracer arrival time on flow estimates in MR perfusion-weighted imaging.

Authors:  Ona Wu; Leif Østergaard; Walter J Koroshetz; Lee H Schwamm; Joanie O'Donnell; Pamela W Schaefer; Bruce R Rosen; Robert M Weisskoff; A Gregory Sorensen
Journal:  Magn Reson Med       Date:  2003-10       Impact factor: 4.668

4.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

5.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

6.  Simultaneous perfusion and permeability measurements using combined spin- and gradient-echo MRI.

Authors:  Heiko Schmiedeskamp; Jalal B Andre; Matus Straka; Thomas Christen; Seema Nagpal; Lawrence Recht; Reena P Thomas; Greg Zaharchuk; Roland Bammer
Journal:  J Cereb Blood Flow Metab       Date:  2013-03-06       Impact factor: 6.200

7.  Combined spin- and gradient-echo perfusion-weighted imaging.

Authors:  Heiko Schmiedeskamp; Matus Straka; Rexford D Newbould; Greg Zaharchuk; Jalal B Andre; Jean-Marc Olivot; Michael E Moseley; Gregory W Albers; Roland Bammer
Journal:  Magn Reson Med       Date:  2011-11-23       Impact factor: 4.668

8.  Evaluation of a multiple spin- and gradient-echo (SAGE) EPI acquisition with SENSE acceleration: applications for perfusion imaging in and outside the brain.

Authors:  Jack T Skinner; Ryan K Robison; Christopher P Elder; Allen T Newton; Bruce M Damon; C Chad Quarles
Journal:  Magn Reson Imaging       Date:  2014-08-29       Impact factor: 2.546

9.  Measuring the arterial input function with gradient echo sequences.

Authors:  Matthias J P van Osch; Evert-jan P A Vonken; Max A Viergever; Jeroen van der Grond; Chris J G Bakker
Journal:  Magn Reson Med       Date:  2003-06       Impact factor: 4.668

10.  An efficient computational approach to characterize DSC-MRI signals arising from three-dimensional heterogeneous tissue structures.

Authors:  Natenael B Semmineh; Junzhong Xu; Jerrold L Boxerman; Gary W Delaney; Paul W Cleary; John C Gore; C Chad Quarles
Journal:  PLoS One       Date:  2014-01-08       Impact factor: 3.240

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  18 in total

1.  Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project.

Authors:  K M Schmainda; M A Prah; S D Rand; Y Liu; B Logan; M Muzi; S D Rane; X Da; Y-F Yen; J Kalpathy-Cramer; T L Chenevert; B Hoff; B Ross; Y Cao; M P Aryal; B Erickson; P Korfiatis; T Dondlinger; L Bell; L Hu; P E Kinahan; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-24       Impact factor: 3.825

2.  Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies.

Authors:  J M Hoxworth; J M Eschbacher; A C Gonzales; K W Singleton; G D Leon; K A Smith; A M Stokes; Y Zhou; G L Mazza; A B Porter; M M Mrugala; R S Zimmerman; B R Bendok; D P Patra; C Krishna; J L Boxerman; L C Baxter; K R Swanson; C C Quarles; K M Schmainda; L S Hu
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-12       Impact factor: 3.825

3.  Moving Toward a Consensus DSC-MRI Protocol: Validation of a Low-Flip Angle Single-Dose Option as a Reference Standard for Brain Tumors.

Authors:  K M Schmainda; M A Prah; L S Hu; C C Quarles; N Semmineh; S D Rand; J M Connelly; B Anderies; Y Zhou; Y Liu; B Logan; A Stokes; G Baird; J L Boxerman
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-28       Impact factor: 3.825

4.  Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases.

Authors:  Timothy J Kaufmann; Marion Smits; Jerrold Boxerman; Raymond Huang; Daniel P Barboriak; Michael Weller; Caroline Chung; Christina Tsien; Paul D Brown; Lalitha Shankar; Evanthia Galanis; Elizabeth Gerstner; Martin J van den Bent; Terry C Burns; Ian F Parney; Gavin Dunn; Priscilla K Brastianos; Nancy U Lin; Patrick Y Wen; Benjamin M Ellingson
Journal:  Neuro Oncol       Date:  2020-06-09       Impact factor: 12.300

5.  Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation.

Authors:  Behrouz Vejdani Afkham; Sadegh Masjoodi; Mohammad Ali Oghabian; Seyed Roholah Ghodsi; Mohammad Reza Nazem Zadeh; Ebrahim Esmati; Mostafa Farzin; Maziar Gilasi; Hasan Hashemi
Journal:  MAGMA       Date:  2019-07-03       Impact factor: 2.310

6.  Accelerated whole-brain perfusion imaging using a simultaneous multislice spin-echo and gradient-echo sequence with joint virtual coil reconstruction.

Authors:  Mary Kate Manhard; Berkin Bilgic; Congyu Liao; SoHyun Han; Thomas Witzel; Yi-Fen Yen; Kawin Setsompop
Journal:  Magn Reson Med       Date:  2019-05-08       Impact factor: 4.668

7.  Perfusion magnetic resonance imaging in pediatric brain tumors.

Authors:  F Dallery; R Bouzerar; D Michel; C Attencourt; V Promelle; J Peltier; J M Constans; O Balédent; C Gondry-Jouet
Journal:  Neuroradiology       Date:  2017-08-31       Impact factor: 2.804

8.  Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma.

Authors:  M D Lee; G L Baird; L C Bell; C C Quarles; J L Boxerman
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-01       Impact factor: 3.825

Review 9.  Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.

Authors:  Fabrício Guimarães Gonçalves; Sanjeev Chawla; Suyash Mohan
Journal:  J Magn Reson Imaging       Date:  2020-03-19       Impact factor: 4.813

10.  Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas.

Authors:  Jerrold L Boxerman; Chad C Quarles; Leland S Hu; Bradley J Erickson; Elizabeth R Gerstner; Marion Smits; Timothy J Kaufmann; Daniel P Barboriak; Raymond H Huang; Wolfgang Wick; Michael Weller; Evanthia Galanis; Jayashree Kalpathy-Cramer; Lalitha Shankar; Paula Jacobs; Caroline Chung; Martin J van den Bent; Susan Chang; W K Al Yung; Timothy F Cloughesy; Patrick Y Wen; Mark R Gilbert; Bruce R Rosen; Benjamin M Ellingson; Kathleen M Schmainda
Journal:  Neuro Oncol       Date:  2020-09-29       Impact factor: 12.300

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