SynthesisActa neurochirurgica2017
Volumetric growth rates of meningioma and its correlation with histological diagnosis and clinical outcome: a systematic review.
Synthesis in Acta neurochirurgica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incidental intracranial meningiomas: a systematic review and meta-analysis of prognostic factors and outcomes.Journal of neuro-oncology · 2019Pooled it
- Automated deep learning-based segmentation and volumetric analysis of meningiomas.Neuroradiology · 2026Article
- Article
- [The role of histopathology in the diagnosis and management of intracranial meningiomas. Hospital experience in Kinshasa (Democratic Republic of Congo)].Medecine tropicale et sante internationale · 2025Article
- Immunohistochemistry markers of molecular subtype do not correlate with the growth behaviour for recurrent meningiomas - a cohort study.Journal of neuro-oncology · 2025Article
- A Case Report Depicting a Rare Neurosurgical Disease: Aggressive Meningiomatosis.Journal of clinical medicine · 2025Article
- Malignant Meningiomas: From Diagnostics to Treatment.Diagnostics (Basel, Switzerland) · 2025Review
- Volumetric measurement of intracranial meningiomas: a comparison between linear, planimetric, and machine learning with multiparametric voxel-based morphometry methods.Journal of neuro-oncology · 2023Article
- Review
- Meningioma With Partial and Spontaneous Regression of Peritumoral Edema on Long-Term Follow Up.Brain tumor research and treatment · 2022Article
- Consensus core clinical data elements for meningiomas (v2021.1).Neuro-oncology · 2022Article
- MAC-spinal meningioma score: A proposal for a quick-to-use scoring sheet of the MIB-1 index in sporadic spinal meningiomas.Frontiers in oncology · 2022Article
- Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI.Cureus · 2022Article
- Article
- Automatic Meningioma Segmentation and Grading Prediction: A Hybrid Deep-Learning Method.Journal of personalized medicine · 2021Article
- Automated Meningioma Segmentation in Multiparametric MRI : Comparable Effectiveness of a Deep Learning Model and Manual Segmentation.Clinical neuroradiology · 2021Article
- Volumetric growth rate of incidental asymptomatic meningiomas: a single-center prospective cohort study.Acta neurochirurgica · 2021Article
- Fast meningioma segmentation in T1-weighted magnetic resonance imaging volumes using a lightweight 3D deep learning architecture.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Memory Modulation Factors in Hippocampus Exposed to Radiation.Sovremennye tekhnologii v meditsine · 2021Article
- A prospective study of the natural history of incidental meningioma-Hold your horses!Neuro-oncology practice · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTumour growth has been used to successfully predict progression-free survival in low-grade glioma. This systematic review sought to establish the evidence base regarding the correlation of volumetric growth rates with histological diagnosis and potential to predict clinical outcome in patients with meningioma.
methodsThis systematic review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Databases were searched for full text English articles analysing volumetric growth rates in patients with a meningioma.
resultsFour retrospective cohort studies were accepted, demonstrating limited evidence of significantly different tumour doubling rates and shapes of growth curves between benign and atypical meningiomas. Heterogeneity of patient characteristics and timing of volumetric assessment, both pre- and post-operatively, limited pooled analysis of the data. No studies performed statistical analysis to demonstrate the clinical utility of growth rates in predicting clinical outcome.
conclusionThis systematic review provides limited evidence in support of the use of volumetric growth rates in meningioma to predict histological diagnosis and clinical outcome to guide future monitoring and treatment.
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Registered trials
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