Literature DB >> 33985944

Relationship between Shear Stiffness Measured by MR Elastography and Perfusion Metrics Measured by Perfusion CT of Meningiomas.

T Takamura1,2, U Motosugi3, M Ogiwara4, Y Sasaki5, K J Glaser6, R L Ehman6, H Kinouchi4, H Onishi5.   

Abstract

BACKGROUND AND
PURPOSE: When managing meningiomas, intraoperative tumor consistency and histologic subtype are indispensable factors influencing operative strategy. The purposes of this study were the following: 1) to investigate the correlation between stiffness assessed with MR elastography and perfusion metrics from perfusion CT, 2) to evaluate whether MR elastography and perfusion CT could predict intraoperative tumor consistency, and 3) to explore the predictive value of stiffness and perfusion metrics in distinguishing among histologic subtypes of meningioma.
MATERIALS AND METHODS: Mean tumor stiffness and relative perfusion metrics (blood flow, blood volume, and MTT) were calculated (relative to normal brain tissue) for 14 patients with meningiomas who underwent MR elastography and perfusion CT before surgery (cohort 1). Intraoperative tumor consistency was graded by a neurosurgeon in 18 patients (cohort 2, comprising the 14 patients from cohort 1 plus 4 additional patients). The correlation between tumor stiffness and perfusion metrics was evaluated in cohort 1, as was the ability of perfusion metrics to predict intraoperative tumor consistency and discriminate histologic subtypes. Cohort 2 was analyzed for the ability of stiffness to determine intraoperative tumor consistency and histologic subtypes.
RESULTS: The relative MTT was inversely correlated with stiffness (P = .006). Tumor stiffness was positively correlated with intraoperative tumor consistency (P = .01), while perfusion metrics were not. Relative MTT significantly discriminated transitional meningioma from meningothelial meningioma (P = .04), while stiffness did not significantly differentiate any histologic subtypes.
CONCLUSIONS: In meningioma, tumor stiffness may be useful to predict intraoperative tumor consistency, while relative MTT may potentially correlate with tumor stiffness and differentiate transitional meningioma from meningothelial meningioma.
© 2021 by American Journal of Neuroradiology.

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Mesh:

Year:  2021        PMID: 33985944      PMCID: PMC8324263          DOI: 10.3174/ajnr.A7117

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   4.966


  38 in total

1.  Perfusion imaging of meningioma by using continuous arterial spin-labeling: comparison with dynamic susceptibility-weighted contrast-enhanced MR images and histopathologic features.

Authors:  H Kimura; H Takeuchi; Y Koshimoto; H Arishima; H Uematsu; Y Kawamura; T Kubota; H Itoh
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

2.  Experimental evaluations of the microchannel flow model.

Authors:  K J Parker
Journal:  Phys Med Biol       Date:  2015-05-14       Impact factor: 3.609

Review 3.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

4.  Measuring the effects of aging and sex on regional brain stiffness with MR elastography in healthy older adults.

Authors:  Arvin Arani; Matthew C Murphy; Kevin J Glaser; Armando Manduca; David S Lake; Scott A Kruse; Clifford R Jack; Richard L Ehman; John Huston
Journal:  Neuroimage       Date:  2015-02-17       Impact factor: 6.556

5.  Correlations of magnetic resonance, perfusion-weighed imaging parameters and microvessel density in meningioma.

Authors:  Ruihua Shi; Tao Jiang; Lifang Si; Min Li
Journal:  J BUON       Date:  2016 May-Jun       Impact factor: 2.533

6.  Comparison of consistency of meningiomas and CT appearances.

Authors:  B Kendall; P Pullicino
Journal:  Neuroradiology       Date:  1979-10-31       Impact factor: 2.804

7.  The role of diffusion tensor imaging and dynamic susceptibility perfusion MRI in the evaluation of meningioma grade and subtype.

Authors:  Anastasia Zikou; George A Alexiou; Anna Goussia; Paraskevi Kosta; Vasileios Xydis; Spyridon Voulgaris; Athanasios P Kyritsis; Maria I Argyropoulou
Journal:  Clin Neurol Neurosurg       Date:  2016-05-06       Impact factor: 1.876

8.  Cannabinoid receptor activation in the juvenile rat brain results in rapid biomechanical alterations: Neurovascular mechanism as a putative confounding factor.

Authors:  Simon Chatelin; Marie Humbert-Claude; Philippe Garteiser; Ana Ricobaraza; Valérie Vilgrain; Bernard E Van Beers; Ralph Sinkus; Zsolt Lenkei
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-02       Impact factor: 6.200

9.  Regional brain stiffness changes across the Alzheimer's disease spectrum.

Authors:  Matthew C Murphy; David T Jones; Clifford R Jack; Kevin J Glaser; Matthew L Senjem; Armando Manduca; Joel P Felmlee; Rickey E Carter; Richard L Ehman; John Huston
Journal:  Neuroimage Clin       Date:  2015-12-19       Impact factor: 4.881

10.  Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion.

Authors:  Ziying Yin; Joshua D Hughes; Joshua D Trzasko; Kevin J Glaser; Armando Manduca; Jamie Van Gompel; Michael J Link; Anthony Romano; Richard L Ehman; John Huston
Journal:  J Magn Reson Imaging       Date:  2017-02-14       Impact factor: 4.813

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