Original Research

Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI

Mousam Panigrahi, Narendra K. Bodhey, Saroj K. Pati, Nighat Hussain, Anil K. Sharma, Arvind K. Shukla
South African Journal of Radiology | Vol 26, No 1 | a2480 | DOI: https://doi.org/10.4102/sajr.v26i1.2480 | © 2022 Mousam Panigrahi, Narendra K. Bodhey, Saroj K. Pati, Nighat Hussain, Anil K. Sharma, Arvind K. Shukla | This work is licensed under CC Attribution 4.0
Submitted: 15 May 2022 | Published: 26 October 2022

About the author(s)

Mousam Panigrahi, Department of Radiodiagnosis, All India Institute of Medical Sciences, Raipur, India
Narendra K. Bodhey, Department of Radiodiagnosis, All India Institute of Medical Sciences, Raipur,, India
Saroj K. Pati, Department of Radiodiagnosis, All India Institute of Medical Sciences, Raipur, India
Nighat Hussain, Department of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, India
Anil K. Sharma, Department of Neurosurgery, All India Institute of Medical Sciences, Raipur, India
Arvind K. Shukla, Department of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, India


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Abstract

Background: Meningiomas are the most prevalent of all intracranial tumours. Although they are mostly benign, about 20% of meningiomas are atypical or malignant. Knowledge of their histologic grade can be clinically useful while planning surgery.

Objectives: To differentiate between various grades and subtypes of meningiomas with advanced MR parameters.

Method: We assessed the advanced MR imaging characteristics of 27 histopathologically confirmed meningiomas on a 3T MRI, of which 23 were grade I meningiomas (2 fibroblastic, 9 meningothelial, 9 transitional, 3 unspecified) and 4 were grade II/III meningiomas (2 atypical, 1 papillary, 1 anaplastic). Analysis of the ADC, FA, λ1, λ2, λ3 and mean diffusivity was performed using standard post-processing software.

Results: The mean size of atypical meningiomas (5.9 cm ± 0.7 cm) was significantly higher (p = 0.038, 95% confidence interval [CI]) than that of typical meningiomas (4.6 cm ± 1.6 cm) with a cut-off value of 6.05 cm (75% sensitivity and 87% specificity). The mean cerebral blood flow (CBF) (ASL) of atypical meningiomas (286.70 ± 8.06) was significantly higher (p = 0.0000141, 95% CI) than that of typical meningiomas (161.09 ± 87.04) with a cut-off value of 276.75 (66.7% sensitivity and 75% specificity). Among the typical meningiomas, transitional subtypes had the lowest ADC. High FA and planar coefficient (CP) values and low λ3 and spherical coefficient (CS) values were seen in fibroblastic meningiomas. Fibroblastic meningiomas also showed the lowest vascularity among typical meningiomas.

Conclusion: Tumour size and ASL perfusion are two parameters that could differentiate between typical and atypical meningiomas while ADC, FA, λ3, CP, CS, rCBF and rCBV may be helpful in distinguishing different subtypes of typical meningiomas.


Keywords

meningioma; ASL; T1 perfusion; ADC; DTI

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