Literature DB >> 26410100

Susceptibility changes in meningiomas influence the apparent diffusion coefficient in diffusion-weighted MRI.

L Schwyzer1, J Berberat2, L Remonda2, U Roelcke3.   

Abstract

INTRODUCTION: Cell-dense tumors may restrict diffusivity which can be measured by diffusion-weighted MRI (DWI), and which is quantified by the apparent diffusion coefficient (ADC). Little is known about diffusivity in meningiomas. These tumors frequently show hemorrhage and calcification which can be demonstrated using susceptibility weighted MRI (SWI). Both DWI and SWI represent T2-derived MRI sequences. Here we investigated ADC variability in meningiomas and analyzed whether susceptibility changes (SWIpos) alter diffusivity.
METHODS: We grouped newly diagnosed meningiomas according to the presence (SWIpos) or absence (SWIneg) of susceptibility changes. ADC values were calculated using region-of-interest analysis, and ADC values of SWIpos and SWIneg meningiomas were compared. In addition ADC histograms were created.
RESULTS: We retrospectively studied 36 patients (13 WHO grade I, 8 WHO grade II, 15 suspected meningiomas). Thirteen meningiomas (36%) exhibited SWIpos. Global ADC values were higher in SWIpos (1.00 ± 0.15 × 10-3mm(2)/s) compared to SWIneg (0.82 ± 0.09 × 10-3mm(2)/s) tumors (P<0.0001). Meningiomas showing both SWIpos and SWIneg areas caused two separated histogram peaks, whereas homogeneously appearing meningiomas with either SWIposor SWIneg areas showed one peak only. ADC values did not correlate with age or gender, and showed substantial overlap between WHO grade I and II.
CONCLUSION: Susceptibility changes (SWIpos) in meningiomas influence measures of diffusivity by increasing ADC values on average by 38%. This shift has to be considered when conclusions on tumor behavior are drawn from DWI. Further studies should address whether ADC changes and histogram patterns can be used to monitor treatment of meningiomas.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Diffusion MRI; Meningioma; Susceptibility changes

Mesh:

Year:  2015        PMID: 26410100     DOI: 10.1016/j.neurad.2015.06.002

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  3 in total

1.  Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

2.  Differentiating spinal intradural-extramedullary schwannoma from meningioma using MRI T2 weighted images.

Authors:  Hiroyuki Takashima; Tsuneo Takebayashi; Mitsunori Yoshimoto; Maki Onodera; Yoshinori Terashima; Noriyuki Iesato; Katsumasa Tanimoto; Izaya Ogon; Tomonori Morita; Toshihiko Yamashita
Journal:  Br J Radiol       Date:  2018-08-07       Impact factor: 3.039

3.  Imaging and diagnostic advances for intracranial meningiomas.

Authors:  Raymond Y Huang; Wenya Linda Bi; Brent Griffith; Timothy J Kaufmann; Christian la Fougère; Nils Ole Schmidt; Jöerg C Tonn; Michael A Vogelbaum; Patrick Y Wen; Kenneth Aldape; Farshad Nassiri; Gelareh Zadeh; Ian F Dunn
Journal:  Neuro Oncol       Date:  2019-01-14       Impact factor: 12.300

  3 in total

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