Journal of Neuro-Oncology

, Volume 102, Issue 2, pp 303–310 | Cite as

Growth curve analysis of asymptomatic and symptomatic meningiomas

  • Satoshi Nakasu
  • Yoko Nakasu
  • Tadateru Fukami
  • Junya Jito
  • Kazuhiko Nozaki
Clinical Study – Patient Study


Meningiomas sometimes appear to stop growing after attaining a large size. Commonly used exponential growth models do not reflect this phenomenon. We attempted to find the best curve to simulate their growth. Fifty-two patients with meningioma were followed up for 3.1–21.7 years (mean 7.5 years) with four or more imaging studies each. Thirty-one patients had asymptomatic tumors. The other 21 patients with residual or recurrent tumor were followed up after surgery. Time–volume curves for each tumor were plotted. Nonlinear regression analyses were performed against power, exponential, logistic, and Gompertzian curves. Time–volume curves corresponded to the Gompertzian and logistic growth curves better than to power or exponential curves. When simulating time–volume curves with Gompertzian curves, the majority of benign meningiomas began to slow their growth before patient age of 80 years. Twenty-three of 31 asymptomatic meningiomas had already passed the inflection point before diagnosis. In contrast, this happened less frequently in symptomatic tumors. Especially, all six atypical meningiomas continued to grow quasi-exponentially. Sigmoid curves that approach a plateau were better descriptors of the growth of benign meningiomas than were curves of unlimited growth. However, atypical meningiomas were unlikely to slow their growth.


Growth kinetics Magnetic resonance imaging Meningioma Volumetry 


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Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Satoshi Nakasu
    • 1
  • Yoko Nakasu
    • 3
  • Tadateru Fukami
    • 2
  • Junya Jito
    • 2
  • Kazuhiko Nozaki
    • 2
  1. 1.Division of Neurosurgery and NeurooncologyKusatsu General HospitalKusatsuJapan
  2. 2.Department of NeurosurgeryShiga University of Medical ScienceOhtsuJapan
  3. 3.Division of NeurosurgeryShizuoka Cancer CenterShizuokaJapan

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