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Velocity and pattern of growth of intracranial meningiomas.
Häni, Levin; Thomann, Pascal; Maragkou, Theoni; Vulcu, Sonja; Schütz, Alessa; Jesse, Christopher Marvin; Söll, Nicole; Hakim, Arsany; Raabe, Andreas; Schucht, Philippe.
Affiliation
  • Häni L; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Thomann P; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Maragkou T; 2Institute of Tissue Medicine and Pathology, University of Bern.
  • Vulcu S; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Schütz A; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Jesse CM; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Söll N; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Hakim A; 3Institute of Diagnostic and Interventional Neuroradiology, Bern University Hospital (Inselspital), University of Bern, Switzerland.
  • Raabe A; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
  • Schucht P; 1Department of Neurosurgery, Bern University Hospital (Inselspital), University of Bern.
J Neurosurg ; : 1-8, 2024 Aug 09.
Article in En | MEDLINE | ID: mdl-39126728
ABSTRACT

OBJECTIVE:

The authors' aim was to assess the velocity and pattern of growth of meningiomas and to correlate the kinetics of tumor growth with their previously reported two-item radiological risk stratification and CNS WHO grade (5th edition, 2021).

METHODS:

The authors performed a serial volumetric analysis of meningiomas diagnosed radiologically at their institution between 2003 and 2015. The primary endpoint was velocity of diametric expansion (VDE), which represents the slope of the linear regression of the mean tumor diameter against time. For the secondary analysis, they categorized the growth patterns as linear or exponential by fitting time-volume curves to a linear and exponential function. Three radiological risk categories based on T2-weighted iso/hyperintensity and absence of calcifications were compared low risk (T2-weighted hypointense), intermediate-risk (T2-weighted iso/hyperintense with calcifications), and high-risk (T2-weighted iso/hyperintense without calcifications) tumors.

RESULTS:

For the entire cohort of 240 meningiomas, the median (IQR) VDE was 0.33 (0.00-0.71) mm/year. Distribution of VDE differed significantly among radiological risk categories (0.49 vs 0.35 vs 0.05 mm/year, p < 0.001). High-risk and intermediate-risk tumors more frequently tended to grow exponentially compared to low-risk tumors (43.8% vs 37.0% vs 8.3%, p = 0.067). The authors found no correlation of growth velocity with CNS WHO grade in their cohort (1.30 mm/year for CNS WHO grade 1 vs 4.01 mm/year for CNS WHO grade 2, p = 0.185).

CONCLUSIONS:

A radiological risk assessment using two parameters-T2-weighted signal iso/hyperintensity and absence of calcifications-allows estimation of growth velocity and characteristics of untreated intracranial meningiomas. Only high-risk tumors exhibit the potential for rapid growth. However, rapid tumor growth does not indicate a higher CNS WHO grade per se.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Neurosurg Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Neurosurg Year: 2024 Document type: Article