Literature DB >> 30923088

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

K M Schmainda1,2, M A Prah3, L S Hu4, C C Quarles5, N Semmineh5, S D Rand2, J M Connelly6, B Anderies7, Y Zhou4, Y Liu8, B Logan8, A Stokes5, G Baird9, J L Boxerman9.   

Abstract

BACKGROUND AND
PURPOSE: DSC-MR imaging using preload, intermediate (60°) flip angle and postprocessing leakage correction has gained traction as a standard methodology. Simulations suggest that DSC-MR imaging with flip angle = 30° and no preload yields relative CBV practically equivalent to the reference standard. This study tested this hypothesis in vivo.
MATERIALS AND METHODS: Eighty-four patients with brain lesions were enrolled in this 3-institution study. Forty-three patients satisfied the inclusion criteria. DSC-MR imaging (3T, single-dose gadobutrol, gradient recalled-echo-EPI, TE = 20-35 ms, TR = 1.2-1.63 seconds) was performed twice for each patient, with flip angle = 30°-35° and no preload (P-), which provided preload (P+) for the subsequent intermediate flip angle = 60°. Normalized relative CBV and standardized relative CBV maps were generated, including postprocessing with contrast agent leakage correction (C+) and without (C-) contrast agent leakage correction. Contrast-enhancing lesion volume, mean relative CBV, and contrast-to-noise ratio obtained with 30°/P-/C-, 30°/P-/C+, and 60°/P+/C- were compared with 60°/P+/C+ using the Lin concordance correlation coefficient and Bland-Altman analysis. Equivalence between the 30°/P-/C+ and 60°/P+/C+ protocols and the temporal SNR for the 30°/P- and 60°/P+ DSC-MR imaging data was also determined.
RESULTS: Compared with 60°/P+/C+, 30°/P-/C+ had closest mean standardized relative CBV (P = .61), highest Lin concordance correlation coefficient (0.96), and lowest Bland-Altman bias (μ = 1.89), compared with 30°/P-/C- (P = .02, Lin concordance correlation coefficient = 0.59, μ = 14.6) and 60°/P+/C- (P = .03, Lin concordance correlation coefficient = 0.88, μ = -10.1) with no statistical difference in contrast-to-noise ratios across protocols. The normalized relative CBV and standardized relative CBV were statistically equivalent at the 10% level using either the 30°/P-/C+ or 60°/P+/C+ protocols. Temporal SNR was not significantly different for 30°/P- and 60°/P+ (P = .06).
CONCLUSIONS: Tumor relative CBV derived from low-flip angle, no-preload DSC-MR imaging with leakage correction is an attractive single-dose alternative to the higher dose reference standard.
© 2019 by American Journal of Neuroradiology.

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Year:  2019        PMID: 30923088      PMCID: PMC6461489          DOI: 10.3174/ajnr.A6015

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


  35 in total

1.  On standardizing the MR image intensity scale.

Authors:  L G Nyúl; J K Udupa
Journal:  Magn Reson Med       Date:  1999-12       Impact factor: 4.668

2.  Dynamic susceptibility contrast MR imaging: correlation of signal intensity changes with cerebral blood volume measurements.

Authors:  S Cha; S Lu; G Johnson; E A Knopp
Journal:  J Magn Reson Imaging       Date:  2000-02       Impact factor: 4.813

3.  High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging.

Authors:  Meng Law; Soonmee Cha; Edmond A Knopp; Glyn Johnson; John Arnett; Andrew W Litt
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

4.  Comparison of dynamic susceptibility-weighted contrast-enhanced MR methods: recommendations for measuring relative cerebral blood volume in brain tumors.

Authors:  Eric S Paulson; Kathleen M Schmainda
Journal:  Radiology       Date:  2008-09-09       Impact factor: 11.105

Review 5.  Risk factors for NSF: a literature review.

Authors:  Martin R Prince; Hong Lei Zhang; Giles H Roditi; Tim Leiner; Walter Kucharczyk
Journal:  J Magn Reson Imaging       Date:  2009-12       Impact factor: 4.813

6.  Changes in relative cerebral blood volume 1 month after radiation-temozolomide therapy can help predict overall survival in patients with glioblastoma.

Authors:  Rajiv Mangla; Gurshawn Singh; Doerthe Ziegelitz; Michael T Milano; David N Korones; Jianhui Zhong; Sven E Ekholm
Journal:  Radiology       Date:  2010-06-07       Impact factor: 11.105

7.  Intracranial Gadolinium Deposition after Contrast-enhanced MR Imaging.

Authors:  Robert J McDonald; Jennifer S McDonald; David F Kallmes; Mark E Jentoft; David L Murray; Kent R Thielen; Eric E Williamson; Laurence J Eckel
Journal:  Radiology       Date:  2015-03-05       Impact factor: 11.105

8.  Utility of simultaneously acquired gradient-echo and spin-echo cerebral blood volume and morphology maps in brain tumor patients.

Authors:  K M Donahue; H G Krouwer; S D Rand; A P Pathak; C S Marszalkowski; S C Censky; R W Prost
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

9.  Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume.

Authors:  Joonmi Oh; Roland G Henry; Andrea Pirzkall; Ying Lu; Xiaojuan Li; Isabelle Catalaa; Susan Chang; William P Dillon; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2004-05       Impact factor: 4.813

10.  Optimization of Acquisition and Analysis Methods for Clinical Dynamic Susceptibility Contrast MRI Using a Population-Based Digital Reference Object.

Authors:  N B Semmineh; L C Bell; A M Stokes; L S Hu; J L Boxerman; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2018-10-11       Impact factor: 3.825

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  15 in total

1.  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

2.  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

3.  Systematic assessment of multi-echo dynamic susceptibility contrast MRI using a digital reference object.

Authors:  Ashley M Stokes; Natenael B Semmineh; Ashley Nespodzany; Laura C Bell; C Chad Quarles
Journal:  Magn Reson Med       Date:  2019-08-09       Impact factor: 4.668

4.  Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients.

Authors:  Ashley M Stokes; Maurizio Bergamino; Lea Alhilali; Leland S Hu; John P Karis; Leslie C Baxter; Laura C Bell; C Chad Quarles
Journal:  J Cereb Blood Flow Metab       Date:  2021-08-20       Impact factor: 6.960

Review 5.  Advanced pediatric neuroimaging.

Authors:  Arastoo Vossough
Journal:  Pediatr Radiol       Date:  2022-10-11

6.  DSC Perfusion MRI-Derived Fractional Tumor Burden and Relative CBV Differentiate Tumor Progression and Radiation Necrosis in Brain Metastases Treated with Stereotactic Radiosurgery.

Authors:  F Kuo; N N Ng; S Nagpal; E L Pollom; S Soltys; M Hayden-Gephart; G Li; D E Born; M Iv
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-28       Impact factor: 4.966

7.  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

8.  Perfusion Imaging: An Advection Diffusion Approach.

Authors:  Peirong Liu; Yueh Z Lee; Stephen R Aylward; Marc Niethammer
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 10.048

9.  Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study.

Authors:  Stephanie B Withey; Lesley MacPherson; Adam Oates; Stephen Powell; Jan Novak; Laurence Abernethy; Barry Pizer; Richard Grundy; Paul S Morgan; Simon Bailey; Dipayan Mitra; Theodoros N Arvanitis; Dorothee P Auer; Shivaram Avula; Andrew C Peet
Journal:  Pediatr Radiol       Date:  2022-03-15

10.  Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG).

Authors:  Ramon F Barajas; Letterio S Politi; Nicoletta Anzalone; Heiko Schöder; Christopher P Fox; Jerrold L Boxerman; Timothy J Kaufmann; C Chad Quarles; Benjamin M Ellingson; Dorothee Auer; Ovidiu C Andronesi; Andres J M Ferreri; Maciej M Mrugala; Christian Grommes; Edward A Neuwelt; Prakash Ambady; James L Rubenstein; Gerald Illerhaus; Motoo Nagane; Tracy T Batchelor; Leland S Hu
Journal:  Neuro Oncol       Date:  2021-07-01       Impact factor: 12.300

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