Neuroimaging in meningiomas: old tips and new tricks

Andrea Elefante , Camilla Russo , Martina Di Stasi , Elena Vola , Lorenzo Ugga , Fabio Tortora , Oreste De Divitiis

Mini-invasive Surgery ›› 2021, Vol. 5 ›› Issue (1) : 7

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Mini-invasive Surgery ›› 2021, Vol. 5 ›› Issue (1) :7 DOI: 10.20517/2574-1225.2020.102
Editorial
Editorial

Neuroimaging in meningiomas: old tips and new tricks

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Abstract

Meningiomas are the most common neoplasm of the central nervous system. Usually benign and generally discovered incidentally at imaging, meningiomas can also be responsible for severe neurological symptoms and deficits, with potentially high morbidity and non-negligible mortality. Therefore, neuroimaging plays a crucial role in meningiomas diagnosis, therapeutic planning, and long-term surveillance, for early detection of both recurrence in treated patients and disease progression in untreated ones. Here, we review conventional findings in meningiomas’ imaging, review the role for advanced diagnostic techniques, and offer an overview on possible future neuroimaging applications.

Keywords

Meningioma / magnetic resonance imaging / computed tomography / central nervous system

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Andrea Elefante, Camilla Russo, Martina Di Stasi, Elena Vola, Lorenzo Ugga, Fabio Tortora, Oreste De Divitiis. Neuroimaging in meningiomas: old tips and new tricks. Mini-invasive Surgery, 2021, 5(1): 7 DOI:10.20517/2574-1225.2020.102

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References

[1]

Goutagny S,Henin D.Long-term follow-up of 287 meningiomas in neurofibromatosis type 2 patients: clinical, radiological, and molecular features..Neuro Oncol2012;14:1090-6 PMCID:PMC3408259

[2]

Buerki RA,Kruser T,James CD.An overview of meningiomas..Future Oncol2018;14:2161-77 PMCID:PMC6123887

[3]

Mariniello G,De Caro ML.Cervical extradural “en-plaque” meningioma..J Neurol Surg A Cent Eur Neurosurg2012;73:330-3

[4]

Hashiba T,Izumoto S.Serial volumetric assessment of the natural history and growth pattern of incidentally discovered meningiomas..J Neurosurg2009;110:675-84

[5]

Louis DN,Reifenberger G.The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary..Acta Neuropathol2016;131:803-20

[6]

Alghamdi M,Olivotto I.Atypical meningioma: referral patterns, treatment and adherence to guidelines..Can J Neurol Sci2017;44:283-7

[7]

van Alkemade H,Dieleman EM.Impaired survival and long-term neurological problems in benign meningioma..Neuro Oncol2012;14:658-66 PMCID:PMC3337301

[8]

Saraf S,Villano JL.Update on meningiomas..Oncologist2011;16:1604-13 PMCID:PMC3233296

[9]

Jääskeläinen J.Seemingly complete removal of histologically benign intracranial meningioma: late recurrence rate and factors predicting recurrence in 657 patients. A multivariate analysis..Surgical Neurology1986;26:461-9

[10]

Islam OH, Grayson, Coombs B, et al. Imaging in brain meningioma. 2014. Available from: http://emedicine.medscape.com/article/341624-overview.2015. [Last accessed on 9 Nov 2020]

[11]

Watts J,Galvin A,Trost N.Magnetic resonance imaging of meningiomas: a pictorial review..Insights Imaging2014;5:113-22 PMCID:PMC3948902

[12]

Huang RY,Griffith B.Imaging and diagnostic advances for intracranial meningiomas..Neuro Oncol2019;21:i44-61 PMCID:PMC6347083

[13]

Ly KI,Huang RY.Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification..Neurol Clin2020;38:95-113

[14]

Buetow MP,Smirniotopoulos JG.Typical, atypical, and misleading features in meningioma..Radiographics1991;11:1087-106

[15]

Sade B.High incidence of optic canal involvement in clinoidal meningiomas: rationale for aggressive skull base approach..Acta Neurochir (Wien)2008;150:1127-32discussion 1132

[16]

Tamiya T,Matsumoto K.Peritumoral brain edema in intracranial meningiomas: effects of radiological and histological factors..Neurosurgery2001;49:1046-51discussion 1051-2

[17]

Todua FI,Nuralidze KI.Computed tomography and magnetic resonance angiography of brain meningiomas..Georgian Med News2013;21-7

[18]

Raza SM,Brem H,Long DM.Perioperative and long-term outcomes from the management of parasagittal meningiomas invading the superior sagittal sinus..Neurosurgery2010;67:885-93discussion 893

[19]

Mariniello G,Russo C.MRI features of spinal solitary fibrous tumors. A report of two cases and literature review..Neuroradiol J2012;25:610-6

[20]

Hakyemez B,Erdoğan C,Korfali E.Meningiomas with conventional MRI findings resembling intraaxial tumors: can perfusion-weighted MRI be helpful in differentiation?.Neuroradiology2006;48:695-702

[21]

Watanabe Y,Kajiwara Y.Preoperative histological grading of meningiomas using apparent diffusion coefficient at 3T MRI..Eur J Radiol2013;82:658-63

[22]

Tang Y,Thangasamy S.Correlation of apparent diffusion coefficient with Ki-67 proliferation index in grading meningioma..AJR Am J Roentgenol2014;202:1303-8

[23]

Sanverdi SE,Oguz KK.Is diffusion-weighted imaging useful in grading and differentiating histopathological subtypes of meningiomas?.Eur J Radiol2012;81:2389-95

[24]

Lee EJ,Park ES.A novel weighted scoring system for estimating the risk of rapid growth in untreated intracranial meningiomas..J Neurosurg2017;127:971-80

[25]

O’Leary S,Parrish RW.Atypical imaging appearances of intracranial meningiomas..Clin Radiol2007;62:10-7

[26]

Mariniello G,Dones F.Sudden post-traumatic sciatica caused by a thoracic spinal meningioma..Neuroradiol J2016;29:390-2 PMCID:PMC5033086

[27]

Sung CW,Kuo YJ.A primary meningioma of the lumbar spine with neck metastasis..J Spinal Cord Med2019;1-4 PMCID:PMC7801037

[28]

De Verdelhan O,Carsin-nicol B.MR imaging features of spinal schwannomas and meningiomas..J Neuroradiol2005;32:42-9

[29]

Yeo Y,Lee JW.Magnetic resonance imaging spectrum of spinal meningioma..Clin Imaging2019;55:100-6

[30]

Zhang LH.Imaging appearances and pathologic characteristics of spinal epidural meningioma..AJNR Am J Neuroradiol2018;39:199-204 PMCID:PMC7410687

[31]

Liu WC,Lee SH.Radiological findings of spinal schwannomas and meningiomas: focus on discrimination of two disease entities..Eur Radiol2009;19:2707-15

[32]

Tamrazi B,Liu CS.Advanced imaging of intracranial meningiomas..Neurosurg Clin N Am2016;27:137-43 PMCID:PMC4936906

[33]

Shiroishi MS,Tamrazi B.Predicting meningioma consistency on preoperative neuroimaging studies..Neurosurg Clin N Am2016;27:145-54 PMCID:PMC4936899

[34]

Demir MK,Dincer A,Sav A.Single voxel proton MR spectroscopy findings of typical and atypical intracranial meningiomas..Eur J Radiol2006;60:48-55

[35]

Gajjar K,Pang W.Diagnostic segregation of human brain tumours using Fourier-transform infrared and/or Raman spectroscopy coupled with discriminant analysis..Anal Methods2012;5:89-102 PMCID:PMC3789135

[36]

Zakhari N,Castillo M.Uncommon cranial meningioma: key imaging features on conventional and advanced imaging..Clin Neuroradiol2017;27:135-44

[37]

Newton AT,Stokes AM,Quarles CC.Improving perfusion measurement in DSC-MR imaging with multiecho information for arterial input function determination..AJNR Am J Neuroradiol2016;37:1237-43 PMCID:PMC4947011

[38]

Kremer S,Rémy C.Contribution of dynamic contrast MR imaging to the differentiation between dural metastasis and meningioma..Neuroradiology2004;46:642-8

[39]

Kimura H,Koshimoto Y.Perfusion imaging of meningioma by using continuous arterial spin-labeling: comparison with dynamic susceptibility-weighted contrast-enhanced MR images and histopathologic features..AJNR Am J Neuroradiol2006;27:85-93

[40]

Hakyemez B,Bolca N,Gokalp G.Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging..J Magn Reson Imaging2006;24:817-24

[41]

Cha S,Johnson G,Litt AW.Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging..Radiology2002;223:11-29

[42]

Ginat DT,Yeaney G,Wang H.Correlation between dynamic contrast-enhanced perfusion MRI relative cerebral blood volume and vascular endothelial growth factor expression in meningiomas..Acad Radiol2012;19:986-90

[43]

Ginat DT,Yeaney G.Correlation of diffusion and perfusion MRI with Ki-67 in high-grade meningiomas..AJR Am J Roentgenol2010;195:1391-5

[44]

Bitzer M,Geist-Barth B.Alterations in diffusion and perfusion in the pathogenesis of peritumoral brain edema in meningiomas..Eur Radiol2002;12:2062-76

[45]

Zhang Q,Zhang GB.A logistic regression model for detecting the presence of malignant progression in atypical meningiomas..World Neurosurg2019;126:e392-401

[46]

Sergides I,Naik S,Miles K.Utilization of dynamic CT perfusion in the study of intracranial meningiomas and their surrounding tissue..Neurol Res2009;31:84-9

[47]

Qiao XJ,Wang DJJ.Application of arterial spin labeling perfusion MRI to differentiate benign from malignant intracranial meningiomas..Eur J Radiol2017;97:31-6 PMCID:PMC6165628

[48]

Yang S,Zagzag D.Dynamic contrast-enhanced perfusion MR imaging measurements of endothelial permeability: differentiation between atypical and typical meningiomas..AJNR Am J Neuroradiol2003;24:1554-9

[49]

Nagar VA,Ng WH.Diffusion-weighted MR imaging: diagnosing atypical or malignant meningiomas and detecting tumor dedifferentiation..AJNR Am J Neuroradiol2008;29:1147-52

[50]

Santelli L,Della Puppa A.Diffusion-weighted imaging does not predict histological grading in meningiomas..Acta Neurochir (Wien)2010;152:1315-9discussion 1319

[51]

Wang S,Zhang Y.Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics..Radiology2012;262:584-92

[52]

Tropine A,Glaser M.Differentiation of fibroblastic meningiomas from other benign subtypes using diffusion tensor imaging..J Magn Reson Imaging2007;25:703-8

[53]

Kashimura H,Ogasawara K.Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging..J Neurosurg2007;107:784-7

[54]

Ortega-Porcayo LA,Marrufo-Meléndez OR.Prediction of mechanical properties and subjective consistency of meningiomas using T1-T2 assessment versus fractional anisotropy..World Neurosurg2015;84:1691-8

[55]

Romani R,Mao Y.Diffusion tensor magnetic resonance imaging for predicting the consistency of intracranial meningiomas..Acta Neurochir (Wien)2014;156:1837-45

[56]

Yin Z,Trzasko JD.Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion..J Magn Reson Imaging2017;46:1007-16 PMCID:PMC5600107

[57]

Reubi JC.Clinical relevance of somatostatin receptor imaging..Eur J Endocrinol1994;131:575-6

[58]

Reimold M.Molecular imaging in neurological diseases..Radiologe2016;56:580-7

[59]

Afshar-Oromieh A,Linhart HG.Detection of cranial meningiomas: comparison of 68Ga-DOTATOC PET/CT and contrast-enhanced MRI..Eur J Nucl Med Mol Imaging2012;39:1409-15

[60]

Klingenstein A,Miller C.Ga-68-DOTA-TATE PET/CT for discrimination of tumors of the optic pathway..Orbit2015;34:16-22

[61]

Nowosielski M,Iglseder S.Diagnostic challenges in meningioma..Neuro Oncol2017;19:1588-98 PMCID:PMC5716093

[62]

Sommerauer M,Frontzek K.68Gallium-DOTATATE PET in meningioma: a reliable predictor of tumor growth rate?.Neuro Oncol2016;18:1021-7 PMCID:PMC4896546

[63]

Slotty PJ,Langen KJ.(68)Ga-DOTATATE-positron emission tomography imaging in spinal meningioma..J Craniovertebr Junction Spine2014;5:44-6 PMCID:PMC4085911

[64]

Rachinger W,Terpolilli NA.Increased 68Ga-DOTATATE uptake in PET imaging discriminates meningioma and tumor-free tissue..J Nucl Med2015;56:347-53

[65]

Galldiks N,Sommerauer M.PET imaging in patients with meningioma-report of the RANO/PET Group..Neuro Oncol2017;19:1576-87 PMCID:PMC5716194

[66]

Gillies RJ,Hricak H.Radiomics: images are more than pictures, they are data..Radiology2016;278:563-77 PMCID:PMC4734157

[67]

Koçak B,Ateş E.Radiomics with artificial intelligence: a practical guide for beginners..Diagn Interv Radiol2019;25:485-95 PMCID:PMC6837295

[68]

Park YW,You SC.Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging..Eur Radiol2019;29:4068-76

[69]

Laukamp KR,Shakirin G.Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI..Eur Radiol2019;29:124-32 PMCID:PMC6291436

[70]

Morin O,Nassiri F.Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival..Neurooncol Adv2019;1:vdz011 PMCID:PMC6777505

[71]

Zhang Y,Chen TY.Radiomics approach for prediction of recurrence in skull base meningiomas..Neuroradiology2019;61:1355-64 PMCID:PMC7717070

[72]

Florez E,E Parker E,Howard CM.Multiparametric magnetic resonance imaging in the assessment of primary brain tumors through radiomic features: a metric for guided radiation treatment planning..Cureus2018;10:e3426 PMCID:PMC6284876

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