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

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 an...

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Autores principales: Panigrahi, Mousam, Bodhey, Narendra K., Pati, Saroj K., Hussain, Nighat, Sharma, Anil K., Shukla, Arvind K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634949/
https://www.ncbi.nlm.nih.gov/pubmed/36337074
http://dx.doi.org/10.4102/sajr.v26i1.2480
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author Panigrahi, Mousam
Bodhey, Narendra K.
Pati, Saroj K.
Hussain, Nighat
Sharma, Anil K.
Shukla, Arvind K.
author_facet Panigrahi, Mousam
Bodhey, Narendra K.
Pati, Saroj K.
Hussain, Nighat
Sharma, Anil K.
Shukla, Arvind K.
author_sort Panigrahi, Mousam
collection PubMed
description 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.
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spelling pubmed-96349492022-11-05 Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI Panigrahi, Mousam Bodhey, Narendra K. Pati, Saroj K. Hussain, Nighat Sharma, Anil K. Shukla, Arvind K. SA J Radiol Original Research 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. AOSIS 2022-10-26 /pmc/articles/PMC9634949/ /pubmed/36337074 http://dx.doi.org/10.4102/sajr.v26i1.2480 Text en © 2022. The Authors https://creativecommons.org/licenses/by/4.0/Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
spellingShingle Original Research
Panigrahi, Mousam
Bodhey, Narendra K.
Pati, Saroj K.
Hussain, Nighat
Sharma, Anil K.
Shukla, Arvind K.
Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI
title Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI
title_full Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI
title_fullStr Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI
title_full_unstemmed Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI
title_short Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI
title_sort differentiation between various types and subtypes of intracranial meningiomas with advanced mri
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634949/
https://www.ncbi.nlm.nih.gov/pubmed/36337074
http://dx.doi.org/10.4102/sajr.v26i1.2480
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