Skip to main content

Advertisement

Log in

Growth prediction in asymptomatic meningiomas: the utility of the AIMSS score

  • Original Article - Brain Tumors
  • Published:
Acta Neurochirurgica Aims and scope Submit manuscript

Abstract

Background

Management of asymptomatic meningiomas represents a challenge due to the absence of a solid consensus on which is the best management strategy. There are various known factors predicting meningiomas growth risk. However, the Asian Intracranial Meningioma Scoring System (AIMSS) is the only described score to quantify such risk thus emerging as a potential tool for management decisions. This study aims to validate this score on our series of asymptomatic meningiomas.

Method

We performed a retrospective review of asymptomatic meningiomas diagnosed at our institution between January 2008 and October 2016 and followed by an annual cerebral Magnetic Resonance Imaging (MRI). For each lesion, the AIMSS score was calculated thus classifying them in low (0–2), intermediate (3–6) or high risk (7–11) of rapid growth (>2cm3/year). We investigated the correlation between the expected Average Growth Rate (AGR) according to the score and the one obtained in our study. The mean growth velocity over the different risk groups was also compared.

Results

Overall, 69 asymptomatic meningiomas found incidentally in 46 patients were included in the study; 31 were assigned to the low-risk group, 34 to the intermediate-risk group and 4 to the high-risk group. Attending to the AGR, 0% showed rapid growth in the low-risk group, 12% in the intermediate-risk group, and 25% in the high-risk group. The mean growth velocity showed a significant difference over the different risk groups (p < 0,001).

Conclusions

According to our finding, the AIMSS score is a valid tool to estimate the risk of rapid growth of asymptomatic meningiomas. It is especially useful distinguishing between low- and intermediate-risk meningiomas. This feature would allow physicians to adjust the periodicity of radiological and clinical controls. Adding more known risk factors of rapid growth to the score might improve its predictive capabilities with the high-risk group.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Chamoun R, Krisht KM, Couldwell WT (2011) Incidental meningiomas. Neurosurg Focus 31(6):E19

    Article  Google Scholar 

  2. Chan RC, Thompson GB (1984) Morbidity, mortality and quality of life following surgery for intracranial meningiomas. A retrospective study in 257 cases. J Neurosurg 60:52–60

    Article  CAS  Google Scholar 

  3. Claus EB, Bondy ML, Schildkraut JM, Wiemels JL, Wrensch M, Black PM (2005) Epidemiology of intracranial meningioma. Neurosurgery 57:1088–1095

    Article  Google Scholar 

  4. Cornu P, Chatellier G, Dagreou F et al (1990) Intracranial meningiomas in elderly patients. Postoperative morbidity and mortality. Factors predictive of outcome. Acta Neurochir 102:98–102

    Article  CAS  Google Scholar 

  5. Elhammady MS, Heros RC (2013) Asymptomatic meningiomas. J Neurosurg 119:482–486

    Article  Google Scholar 

  6. Fathi AR, Roelcke U (2013) Meningioma. Curr Neurol Neurosci Rep 13(4):337

    Article  Google Scholar 

  7. Hashiba T, Hashimoto N, Izumoto S et al (2009) Serial volumetric assessment of the natural history and growth pattern of incidentally discovered meningiomas. J Neurosurg 110(4):675–684

    Article  Google Scholar 

  8. Islim AI, Mohan M, Moon RDC, Srikandarajah N, Mills SJ, Brodbelt AR, Jenkinson MD (2019) Incidental intracranial meningiomas: a systematic review and meta-analysis of prognostic factors and outcomes. J Neuro-Oncol 142:211–221

    Article  CAS  Google Scholar 

  9. Jadid KD, Feychting M, Höijer J, Hylin S, Kihlström L, Mathiesen T (2015) Long-term follow-up of incidentally discovered meningiomas. Acta Neurochir 157:225–230

    Article  Google Scholar 

  10. Kasuya H, Kubo O, Tanaka M, Amano K, Kato K, Hori T (2006) Clinical and radiological features related to the growth potential of meningioma. Neurosurg Rev 29:293–297

    Article  Google Scholar 

  11. Lee EJ, Kim JH, Park ES, Kim YH, Lee JK, Hong SH, Cho YH, Kim CJ (2017) A novel weighted scoring system for estimating the risk of rapid growth in untreated intracranial meningiomas. J Neurosurg:1–10

  12. Lee EJ, Park JH, Park ES, Kim JH (2017) “Wait-and-see” strategies for newly diagnosed intracranial meningiomas based on the risk of future observation failure. World Neurosurg. https://doi.org/10.1016/j.wneu.2017.08.060

    Article  Google Scholar 

  13. Nakamura M, Roser F, Michel J, Jacobs C, Samii M (2003) The natural history of incidental meningiomas. Neurosurgery 53:62–71

    Article  Google Scholar 

  14. Nakasu S, Nakasu Y, Fukami T, Jito J, Nozaki K (2011) Growth curve analysis of asymptomatic and symptomatic meningiomas. J Neuro-Oncol 102:303–310

    Article  Google Scholar 

  15. Niiro M, Yatsushiro K, Nakamura K, Kawahara Y, Kuratsu JI (2000) Natural history of elderly patients with asymptomatic meningiomas. J Neurol Neurosurg Psychiatry 68:25–28

    Article  CAS  Google Scholar 

  16. Olayinka D, Yuen C, Castillo L et al (2018) Incidental meningiomas: validation of a novel scoring system to stratify risk for progression. J Clin Oncol 36(15_suppl). https://doi.org/10.1200/JCO.2018.36.15_suppl.e14024

    Article  Google Scholar 

  17. Olivero WC, Lister JR, Elwood PW (1995) The natural history and growth rate of asymptomatic meningiomas: a review of 60 patients. J Neurosurg 83:222–224

    Article  CAS  Google Scholar 

  18. Ostrom QT, Gittleman H, Fulop J, Liu M, Blanda R, Kromer C et al (2015) CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2008–2012. Neuro-Oncology 17(Suppl 4):iv1–iv62

    Article  Google Scholar 

  19. Oya S, Kim SH, Sade B, Lee JH (2011) The natural history of intracranial meningiomas. J Neurosurg 114:1250–1256

    Article  Google Scholar 

  20. Sughrue ME, Rutkowski MJ, Aranda D, Barani IJ, McDermott MW, Parsa AT (2010) Treatment decision making based on the published natural history and growth rate of small meningiomas a review and meta-analysis. J Neurosurg 113(5):1036–1042

    Article  Google Scholar 

  21. Turgut M, Ozcan OE, Benli K, Ozgen T, Gürcay O, Bertan V, Erbengi A, Sağlam S (1996) Factors affecting morbidity and mortality following surgical intervention in patients with intracranial meningioma. Aust N Z J Surg 66:144–150

    Article  CAS  Google Scholar 

  22. Yano S, Kuratsu J, Kumamoto Brain Tumor Research G (2006) Indications for surgery in patients with asymptomatic meningiomas based on an extensive experience. J Neurosurg 105(4):538–543

    Article  Google Scholar 

  23. Yoneoka Y, Fujii Y, Tanaka R (2000) Growth of incidental meningiomas. Acta Neurochir 142:507–511

    Article  CAS  Google Scholar 

  24. Zeng L, Liang P, Jiao J, Chen J, Lei T (2015) Will an asymptomatic meningioma grow or not grow? A meta-analysis. J Neurol Surg A 76:341–347

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ferran Brugada-Bellsolà.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (name of institute/committee) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

For this type of study, formal consent is not required.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Brain Tumors

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brugada-Bellsolà, F., Teixidor Rodríguez, P., Rodríguez-Hernández, A. et al. Growth prediction in asymptomatic meningiomas: the utility of the AIMSS score. Acta Neurochir 161, 2233–2240 (2019). https://doi.org/10.1007/s00701-019-04056-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00701-019-04056-3

Keywords

Navigation