dc.contributor.author | Strand, Per Sveino | |
dc.contributor.author | Wågø, Kathrine Jørgensen | |
dc.contributor.author | Pedersen, Andre | |
dc.contributor.author | Reinertsen, Ingerid Reime | |
dc.contributor.author | Näslund, Olivia | |
dc.contributor.author | Jakola, Asgeir Store | |
dc.contributor.author | Bouget, David Nicolas Jean-Marie | |
dc.contributor.author | Hosainey, Sayied Abdol Mohieb | |
dc.contributor.author | Sagberg, Lisa Millgård | |
dc.contributor.author | Vanel, Johanna | |
dc.contributor.author | Solheim, Ole Skeidsvoll | |
dc.date.accessioned | 2024-06-05T12:21:35Z | |
dc.date.available | 2024-06-05T12:21:35Z | |
dc.date.created | 2024-01-15T14:11:59Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Neuro-Oncology Advances (NOA). 2023, 6 (1), . | en_US |
dc.identifier.issn | 2632-2498 | |
dc.identifier.uri | https://hdl.handle.net/11250/3132706 | |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Oxford University Press | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Growth dynamics of untreated meningiomas | en_US |
dc.title.alternative | Growth dynamics of untreated meningiomas | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 7 | en_US |
dc.source.volume | 6 | en_US |
dc.source.journal | Neuro-Oncology Advances (NOA) | en_US |
dc.source.issue | 1 | en_US |
dc.identifier.doi | 10.1093/noajnl/vdad157 | |
dc.identifier.cristin | 2226729 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |