Literature DB >> 27208870

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

Anastasia Zikou1, George A Alexiou2, Anna Goussia3, Paraskevi Kosta1, Vasileios Xydis1, Spyridon Voulgaris4, Athanasios P Kyritsis5, Maria I Argyropoulou1.   

Abstract

PURPOSE: We prospectively investigated the relationship between diffusion tensor imaging (DTI), dynamic susceptibility perfusion (DSP) MRI metrics and grade, subtype and Ki-67 labelling index of meningiomas. MATERIALS AND ΜETHODS: Thirty-nine patients operated for meningioma were included in the study. DTI and DSP were performed within a week prior to surgical excision. Lesion/normal (L/N) tissue ratios and peritumoral area/normal tissue (P/N) ratios were calculated for the apparent diffusion coefficient (ADC), fractional anisotropy (FA) and relative cerebral blood volume (rCBV). In the tumor specimens Ki-67 antigen expression was evaluated by the MIB-1 immunostaining method.
RESULTS: There were 31 grade I, 7 grade II and one grade III meningiomas. Grade I meningiomas had a significantly lower L/N rCBV ratios than grade II/III meningiomas (median 5.1 vs 6.4, p=0.031). Grade I meningiomas revealed significantly lower P/N rCBV ratios than grade II/III meningiomas (median 0.78 vs 1.1, p=0.0077). Grade I meningiomas had significantly higher FA ratios than grade II/III meningiomas (median 0.5 vs 0.31, p=0.012). Meningiomas of meningothelial type had a significantly higher L/N rCBV ratio than other grade I meningiomas (median 5.4 vs 3.8, p=0.0136). There was no significant correlation between rCBV, ADC, FA and Ki-67 index.
CONCLUSION: Dynamic susceptibility perfusion indexes in lesion/normal and peritumoral/normal tissue ratios are useful for the differentiation grade I from grade II/III menigiomas. Meningothelial meningiomas showed higher lesion/normal tissue rCBV ratios from the other benign meningioma subtypes.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffusion tensor imaging; MRI; Meningioma grades; Perfusion imaging

Mesh:

Substances:

Year:  2016        PMID: 27208870     DOI: 10.1016/j.clineuro.2016.05.005

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  7 in total

1.  The diagnostic value of using combined MR diffusion tensor imaging parameters to differentiate between low- and high-grade meningioma.

Authors:  Kerim Aslan; Hediye Pinar Gunbey; Leman Tomak; Lutfi Incesu
Journal:  Br J Radiol       Date:  2018-05-31       Impact factor: 3.039

2.  Can amide proton transfer-weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma?

Authors:  Hao Yu; Xinrui Wen; Pingping Wu; Yueqin Chen; Tianyu Zou; Xianlong Wang; Shanshan Jiang; Jinyuan Zhou; Zhibo Wen
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

3.  Application of arterial spin labeling perfusion MRI to differentiate benign from malignant intracranial meningiomas.

Authors:  Xin J Qiao; Hyun Grace Kim; Danny J J Wang; Noriko Salamon; Michael Linetsky; Ali Sepahdari; Benjamin M Ellingson; Whitney B Pope
Journal:  Eur J Radiol       Date:  2017-10-07       Impact factor: 3.528

4.  Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.

Authors:  Jin You Kim; Jin Joo Kim; Suk Kim; Ki Seok Choo; Ahrong Kim; Taewoo Kang; Heesung Park
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

5.  Application of magnetic resonance fingerprinting to differentiate grade I transitional and fibrous meningiomas from meningothelial meningiomas.

Authors:  Rui Zhang; Yu Shen; Yan Bai; Xianchang Zhang; Wei Wei; Ruijuan Lin; Qin Feng; Mengke Wang; Menghuan Zhang; Mathias Nittka; Gregor Koerzdoerfer; Meiyun Wang
Journal:  Quant Imaging Med Surg       Date:  2021-04

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

Authors:  T Takamura; U Motosugi; M Ogiwara; Y Sasaki; K J Glaser; R L Ehman; H Kinouchi; H Onishi
Journal:  AJNR Am J Neuroradiol       Date:  2021-05-13       Impact factor: 4.966

7.  Diagnostic Implications of White Matter Tract Involvement by Intra-axial Brain Tumors.

Authors:  Saqib Kamran Bakhshi; Ayesha Quddusi; Shaikh D Mahmood; Muhammad Waqas; Muhammad Shahzad Shamim; Fatima Mubarak; Syed Ather Enam
Journal:  Cureus       Date:  2021-11-08
  7 in total

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