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Unique magnetic resonance spectroscopy profile of intracranial meningiomas compared to gliomas: a systematic review

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Abstract

Background and purpose

The goal of this study was to systematically review the metabolic profile of meningiomas using magnetic resonance spectroscopy in comparison to gliomas, as measured by mean metabolite ratios.

Methods

Following the PRISMA guidelines, a systematic literature review was performed using the PubMed, Ovid Embase, Web of Science, and the Cochrane databases from inception to May 2021. Studies were selected based on predetermined inclusion and exclusion criteria.

Results

Eight studies were ultimately selected with 207 patients included. Fifty-nine patients were diagnosed with meningioma (age = 48.4, 66.7% female) and 148 patients diagnosed with glioma (age = 56.4, 49.2% female). Three studies reported elevated Cho/Cr in meningiomas compared to gliomas (5.71 vs. 1.46, p < 0.05, 7.02 vs. 2.62, p < 0.05, and 4.64 vs. 2.52, p = 0.001). One study reported Ala/Cr to be significantly elevated in meningiomas compared to gliomas (1.30 vs. undetectable, p < 0.001). One study reported myo-Inositol/Cr to be significantly elevated in meningiomas in comparison to gliomas (1.44 vs. 1.08, p < 0.05). One study reported Glu/Cr to be significantly elevated in meningiomas in comparison to gliomas (3.47 vs. 0.89, p = 0.002). Two studies reported Cho/NAA to be significantly elevated in meningiomas in comparison to gliomas (4.46 vs. 2.6, p = 0.004, and 5.8 vs. 2.55, p < 0.05). Two studies reported NAA/Cr was significantly elevated in gliomas compared to meningiomas (undetectable vs. 1.54, p < 0.001 and undetectable vs. 0.58, p < 0.05).

Conclusions

Significant differences in metabolite ratios between tumor types were reported in Cho/Cr, Ala/Cr, Glu/Cr, Cho/NAA, myoI/Cr and NAA/Cr between meningiomas and gliomas.

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References

  1. Ostrom QT, Gittleman H, Xu J et al (2016) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2009–2013. Neuro Oncol 18(5):v1–v75

    Article  PubMed  PubMed Central  Google Scholar 

  2. Ward EM, Sherman RL, Henley SJ et al (2019) Annual report to the nation on the status of cancer, featuring cancer in men and women age 20–49 years. JNCI J Nat Cancer Inst 111(12):1279–1297. https://doi.org/10.1093/jnci/djz106

    Article  PubMed  Google Scholar 

  3. Michaud D, Schiff D, Batchelor T. Incidence of primary brain tumors. U: UpToDate, Loeffler JS, Wen PJ ed UpToDate [Internet]. Published online 2020.

  4. Lapointe S, Perry A, Butowski NA (2018) Primary brain tumours in adults. Lancet 392(10145):432–446

    Article  PubMed  Google Scholar 

  5. Jagannathan NR, Sharma U (2017) Breast tissue metabolism by magnetic resonance spectroscopy. Metabolites 7(2):25

    Article  PubMed  PubMed Central  Google Scholar 

  6. van der Graaf M (2010) In vivo magnetic resonance spectroscopy: basic methodology and clinical applications. Eur Biophys J 39(4):527–540

    Article  PubMed  Google Scholar 

  7. Barker P, Gillard J, Waldman A (2009) Fundamentals of MR spectroscopy. In: Gillard JH, Waldman AD, Barker PB (eds) Clinical MR neuroimaging: diffusion, perfusion and spectroscopy Fundamentals of MR spectroscopy. Cambridge University Press, pp 7–26

    Google Scholar 

  8. Herminghaus S, Pilatus U, Möller-Hartmann W et al (2002) Increased choline levels coincide with enhanced proliferative activity of human neuroepithelial brain tumors. NMR Biomed Int J Devot Dev Appl Mag Res Vivo 15(6):385–392

    CAS  Google Scholar 

  9. Gillies RJ, Morse DL (2005) In vivo magnetic resonance spectroscopy in cancer. Annu Rev Biomed Eng 7:287–326

    Article  PubMed  CAS  Google Scholar 

  10. Glunde K, Bhujwalla ZM, Ronen SM (2011) Choline metabolism in malignant transformation. Nat Rev Cancer 11(12):835–848

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Manton D, Chaturvedi A, Hubbard A et al (2006) Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy. Br J Cancer 94(3):427–435

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Haddadin IS, McIntosh A, Meisamy S et al (2009) Metabolite quantification and high-field MRS in breast cancer. NMR Biomed Int J Devot Dev Appl Mag Res Vivo 22(1):65–76

    CAS  Google Scholar 

  13. Nelson SJ, Graves E, Pirzkall A et al (2002) In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSI. J Mag Res Imaging Off J Int Soc Mag Res Med 16(4):464–476

    Google Scholar 

  14. Howe F, Barton S, Cudlip S et al (2003) Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Mag Res Med Off J Int Soc Mag Res Med 49(2):223–232

    Article  CAS  Google Scholar 

  15. Opstad KS, Murphy MM, Wilkins PR, Bell BA, Griffiths JR, Howe FA (2004) Differentiation of metastases from high-grade gliomas using short echo time 1H spectroscopy. J Mag Res Imaging Off J Int Soc Mag Res Med 20(2):187–192

    Google Scholar 

  16. Ohba S, Murayama K, Nishiyama Y et al (2019) Clinical and radiographic features for differentiating solitary fibrous tumor/hemangiopericytoma from meningioma. World Neurosurg 130:e383–e392

    Article  PubMed  Google Scholar 

  17. Nowosielski M, Galldiks N, Iglseder S et al (2017) Diagnostic challenges in meningioma. Neuro Oncol 19(12):1588–1598

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Kousi E, Tsougos I, Fountas K et al (2012) Distinct peak at 3.8 ppm observed by 3T MR spectroscopy in meningiomas, while nearly absent in high-grade gliomas and cerebral metastases. Mol Med Rep 5(4):1011–1018

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ Clin Res 339:b2535. https://doi.org/10.1136/bmj.b2535

    Article  Google Scholar 

  20. Gajewicz W, Papierz W, Szymczak W, Goraj B (2003) The use of proton MRS in the differential diagnosis of brain tumors and tumor-like processes. Med Sci Monit 9(9):MT97–MT1105

    PubMed  CAS  Google Scholar 

  21. Kumar A, Kaushik S, Tripathi R, Kaur P, Khushu S (2003) Role of in vivo proton MR spectroscopy in the evaluation of adult brain lesions: our preliminary experience. Neurol India 51(4):474

    PubMed  CAS  Google Scholar 

  22. Falini A, Calabrese G, Origgi D et al (1996) Proton magnetic resonance spectroscopy and intracranial tumours: clinical perspectives. J Neurol 243(10):706–714

    Article  PubMed  CAS  Google Scholar 

  23. Salzedo E, Cortes M, Melançon D, Tampieri D (2009) Myoinositol trends in different types of brain lesions. Neuroradiol J 22(1):16–21

    Article  PubMed  CAS  Google Scholar 

  24. Darweesh AMN, Badawy ME, Hamesa M, Saber N (2014) Magnetic resonance spectroscopy and diffusion imaging in the evaluation of neoplastic brain lesions. Egypt J Radiol Nucl Med 45(2):485–493

    Article  Google Scholar 

  25. Hazany S, Hesselink JR, Healy JF, Imbesi SG (2007) Utilization of glutamate/creatine ratios for proton spectroscopic diagnosis of meningiomas. Neuroradiology 49(2):121–127

    Article  PubMed  Google Scholar 

  26. Horská A, Barker PB (2010) Imaging of brain tumors: MR spectroscopy and metabolic imaging. Neuroimaging Clin 20(3):293–310

    Article  Google Scholar 

  27. Bulik M, Jancalek R, Vanicek J, Skoch A, Mechl M (2013) Potential of MR spectroscopy for assessment of glioma grading. Clin Neurol Neurosurg 115(2):146–153

    Article  PubMed  Google Scholar 

  28. Jaskólski DJ, Fortuniak J, Stefańczyk L et al (2013) Differential diagnosis of intracranial meningiomas based on magnetic resonance spectroscopy. Neurol Neurochir Pol 47(3):247–255

    Article  PubMed  Google Scholar 

  29. Yue Q, Isobe T, Shibata Y et al (2008) New observations concerning the interpretation of magnetic resonance spectroscopy of meningioma. Eur Radiol 18(12):2901–2911

    Article  PubMed  Google Scholar 

  30. Demir MK, Iplikcioglu AC, Dincer A, Arslan M, Sav A (2006) Single voxel proton MR spectroscopy findings of typical and atypical intracranial meningiomas. Eur J Radiol 60(1):48–55

    Article  PubMed  Google Scholar 

  31. Brandão LA, Castillo M (2016) Adult brain tumors: clinical applications of magnetic resonance spectroscopy. Mag Res Imaging Clin 24(4):781–809

    Article  Google Scholar 

  32. Urenjak J, Williams SR, Gadian DG, Noble M (1992) Specific expression of N-acetylaspartate in neurons, oligodendrocyte-type-2 astrocyte progenitors, and immature oligodendrocytes in vitro. J Neurochem 59(1):55–61

    Article  PubMed  CAS  Google Scholar 

  33. Ijare OB, Hambarde S, Brasil da Costa FH et al (2022) Glutamine anaplerosis is required for amino acid biosynthesis in human meningiomas. Neuro Oncol 24(4):556–568

    Article  PubMed  CAS  Google Scholar 

  34. Kudo H, Mio T, Kokunai T, Tamaki N, Sumino K, Matsumoto S (1990) Quantitative analysis of glutathione in human brain tumors. J Neurosurg 72(4):610–615

    Article  PubMed  CAS  Google Scholar 

  35. Barba I, Moreno Á, Martínez-Pérez I et al (2001) Magnetic resonance spectroscopy of brain hemangiopericytomas: high myoinositol concentrations and discrimination from meningiomas. J Neurosurg 94(1):55–60. https://doi.org/10.3171/jns.2001.94.1.0055

    Article  PubMed  CAS  Google Scholar 

  36. Kantarci K, Jack C, Xu Y et al (2000) Regional metabolic patterns in mild cognitive impairment and Alzheimer’s disease: a 1H MRS study. Neurology 55(2):210–217

    Article  PubMed  CAS  Google Scholar 

  37. Catani M, Cherubini A, Howard R et al (2001) 1H-MR spectroscopy differentiates mild cognitive impairment from normal brain aging. NeuroReport 12(11):2315–2317

    Article  PubMed  CAS  Google Scholar 

  38. Wattjes M, Harzheim M, Lutterbey G, Klotz L, Schild H, Träber F (2007) Axonal damage but no increased glial cell activity in the normal-appearing white matter of patients with clinically isolated syndromes suggestive of multiple sclerosis using high-field magnetic resonance spectroscopy. Am J Neuroradiol 28(8):1517–1522

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. Lyndon D, Lansley JA, Evanson J, Krishnan AS (2019) Dural masses: meningiomas and their mimics. Insights Imaging 10(1):1–22

    Article  Google Scholar 

  40. Yan PF, Yan L, Zhang Z et al (2016) Accuracy of conventional MRI for preoperative diagnosis of intracranial tumors: A retrospective cohort study of 762 cases. Int J Surg 36:109–117

    Article  PubMed  Google Scholar 

  41. Zhai X, Zhou M, Chen H et al (2019) Differentiation between intraspinal schwannoma and meningioma by MR characteristics and clinic features. Radiol Med (Torino) 124(6):510–521

    Article  PubMed  Google Scholar 

  42. Chen T, Jiang B, Zheng Y et al (2020) Differentiating intracranial solitary fibrous tumor/hemangiopericytoma from meningioma using diffusion-weighted imaging and susceptibility-weighted imaging. Neuroradiology 62(2):175–184

    Article  PubMed  Google Scholar 

  43. Öz G, Alger JR, Barker PB et al (2014) Clinical proton MR spectroscopy in central nervous system disorders. Radiology 270(3):658–679

    Article  PubMed  Google Scholar 

  44. García-Figueiras R, Baleato-González S, Padhani AR et al (2016) Proton magnetic resonance spectroscopy in oncology: the fingerprints of cancer? Diagn Interv Radiol 22(1):75

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Neurological Surgery, University of Kansas Medical Center, 3901 Rainbow Blvd # MS 3021, Kansas City, KS, USA

    Frank A. De Stefano

  2. School of Medicine, Morehouse College, Atlanta, GA, USA

    Grace Smith

  3. Department of Neurological Surgery, University of Miami, Miami, FL, USA

    Alexis A. Morell, Tyler Warner, Sauson Soldozy, Turki Elarjani, Daniel G. Eichberg, Evan Luther & Ricardo J. Komotar

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  1. Frank A. De Stefano
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Correspondence to Frank A. De Stefano.

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De Stefano, F.A., Morell, A.A., Smith, G. et al. Unique magnetic resonance spectroscopy profile of intracranial meningiomas compared to gliomas: a systematic review. Acta Neurol Belg 123, 2077–2084 (2023). https://doi.org/10.1007/s13760-022-02169-8

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  • DOI: https://doi.org/10.1007/s13760-022-02169-8

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