Growth dynamics of untreated meningiomas.

IF 3.7 Q1 CLINICAL NEUROLOGY Neuro-oncology advances Pub Date : 2023-12-20 eCollection Date: 2024-01-01 DOI:10.1093/noajnl/vdad157
Per Sveino Strand, Kathrine Jørgensen Wågø, André Pedersen, Ingerid Reinertsen, Olivia Nälsund, Asgeir Store Jakola, David Bouget, Sayied Abdol Mohieb Hosainey, Lisa Millgård Sagberg, Johanna Vanel, Ole Solheim
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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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未经治疗的脑膜瘤的生长动态。
背景:需要了解脑膜瘤的生长特点,以制定生物学上合理的随访程序。在这项对未经治疗的脑膜瘤进行重复磁共振成像(MRI)扫描随访的研究中,我们研究了肿瘤的生长动态,并探讨了与肿瘤生长相关的潜在因素:在一项单中心队列研究中,我们纳入了 235 名经放射学怀疑患有颅内脑膜瘤并在随访期间接受过至少 3 次磁共振成像扫描的成年患者。我们采用自动算法对对比增强 T1 序列中的肿瘤进行了分割,必要时还进行了人工校正。对潜在的脑膜瘤生长曲线进行统计比较:线性、指数、线性径向或贡培兹曲线。结果:在中位 5 年的观察期内,对 235 名患者进行了 1394 次磁共振成像扫描。在测试的模型中,贡珀茨生长曲线最能描述脑膜瘤的群体生长动态。59%的肿瘤增大,27%的肿瘤保持稳定,14%的肿瘤缩小。只有 13 名患者(5%)在观察期间接受了手术,手术后被排除在外。确诊时的肿瘤大小、多发性和随访时间与肿瘤生长有关,而年龄、性别、瘤周水肿和高密度T2信号则不是重要因素:结论:未经治疗的脑膜瘤遵循贡珀茨生长曲线,这表明增加磁共振成像之间的随访间隔并将其延长一倍似乎在生物学上是合理的,而不是固定的时间间隔。诊断时的肿瘤大小是预测未来生长的最有力指标,这表明较小的肿瘤有可能需要更长的随访间隔。虽然大多数未经治疗的脑膜瘤都会生长,但需要手术的却很少。
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6.20
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0
审稿时长
12 weeks
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