Growth dynamics of untreated meningiomas

Author:

Strand Per Sveino12ORCID,Wågø Kathrine Jørgensen3,Pedersen André4,Reinertsen Ingerid45,Nälsund Olivia6,Jakola Asgeir Store7,Bouget David4,Hosainey Sayied Abdol Mohieb8,Sagberg Lisa Millgård19,Vanel Johanna4,Solheim Ole12

Affiliation:

1. Department of Neurosurgery, St. Olavs University Hospital , Trondheim , Norway

2. Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology , Trondheim , Norway

3. Department of Pediatrics, St. Olavs University Hospital , Trondheim , Norway

4. Department of Health Research, SINTEF Digital , Trondheim , Norway

5. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology , Trondheim , Norway

6. Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at the Sahlgrenska Academy, University of Gothenburg , Gothenburg , Sweden

7. Department of Neurosurgery, Sahlgrenska University Hospital , Gothenburg , Sweden

8. Department of Neurosurgery, University Hospital Southampton , Southampton , UK

9. Department of Public Health and Nursing, Norwegian University of Science and Technology , Trondheim , Norway

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Surgery,Oncology,Neurology (clinical)

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