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Growth dynamics of untreated meningiomas.
Strand, Per Sveino; Wågø, Kathrine Jørgensen; Pedersen, André; Reinertsen, Ingerid; Nälsund, Olivia; Jakola, Asgeir Store; Bouget, David; Hosainey, Sayied Abdol Mohieb; Sagberg, Lisa Millgård; Vanel, Johanna; Solheim, Ole.
Afiliação
  • Strand PS; Department of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway.
  • Wågø KJ; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.
  • Pedersen A; Department of Pediatrics, St. Olavs University Hospital, Trondheim, Norway.
  • Reinertsen I; Department of Health Research, SINTEF Digital, Trondheim, Norway.
  • Nälsund O; Department of Health Research, SINTEF Digital, Trondheim, Norway.
  • Jakola AS; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
  • Bouget D; Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Hosainey SAM; Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Sagberg LM; Department of Health Research, SINTEF Digital, Trondheim, Norway.
  • Vanel J; Department of Neurosurgery, University Hospital Southampton, Southampton, UK.
  • Solheim O; Department of Neurosurgery, St. Olavs University Hospital, Trondheim, Norway.
Neurooncol Adv ; 6(1): vdad157, 2024.
Article em En | MEDLINE | ID: mdl-38187869
ABSTRACT

Background:

Knowledge about meningioma growth characteristics is needed for developing biologically rational follow-up routines. In this study of untreated meningiomas followed with repeated magnetic resonance imaging (MRI) scans, we studied growth dynamics and explored potential factors associated with tumor growth.

Methods:

In a single-center cohort study, we included 235 adult patients with radiologically suspected intracranial meningioma and at least 3 MRI scans during follow-up. Tumors were segmented using an automatic algorithm from contrast-enhanced T1 series, and, if needed, manually corrected. Potential meningioma growth curves were statistically compared linear, exponential, linear radial, or Gompertzian. Factors associated with growth were explored.

Results:

In 235 patients, 1394 MRI scans were carried out in the median 5-year observational period. Of the models tested, a Gompertzian growth curve best described growth dynamics of meningiomas on group level. 59% of the tumors grew, 27% remained stable, and 14% shrunk. Only 13 patients (5%) underwent surgery during the observational period and were excluded after surgery. Tumor size at the time of diagnosis, multifocality, and length of follow-up were associated with tumor growth, whereas age, sex, presence of peritumoral edema, and hyperintense T2-signal were not significant factors.

Conclusions:

Untreated meningiomas follow a Gompertzian growth curve, indicating that increasing and potentially doubling subsequent follow-up intervals between MRIs seems biologically reasonable, instead of fixed time intervals. Tumor size at diagnosis is the strongest predictor of future growth, indicating a potential for longer follow-up intervals for smaller tumors. Although most untreated meningiomas grow, few require surgery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Noruega País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Noruega País de publicação: Reino Unido