Paediatric meningiomas: a multi-centre case series of 27 patients.

Purpose: This study presents a series of paediatric meningiomas and discusses aetiology, risk factors and outcomes with comparison to current literature.

Methods: This is a retrospective review of surgically treated paediatric meningiomas from three UK centres: the University Hospital of Wales, Alder Hey Children's Hospital and Royal Manchester Children's Hospital. Twenty-seven patients aged 16 and under at the time of their first procedure were identified over a 15-year period (1 January 2007 and 1 March 2023).

Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection.

Fourier-transform infrared (FT-IR) and Raman spectroscopy are being widely applied as sensor-based techniques in oncology, particularly in the diagnosis of brain cancers and their subtypes. Overtime, these techniques have become more sensitive; and, accuracies of over 90% have been observed in several studies. This is indication of their potential for clinical implementation.

Raman hyperspectral imaging coupled to three-dimensional discriminant analysis: Classification of meningiomas brain tumour grades.

Meningiomas remains a clinical dilemma. They are the commonest "benign" types of brain tumours and, although being typically benign, they are divided into three WHO grades categories (I, II and III) which are associated with the tumour growth rate and likelihood of recurrence. Recurrence depends on extend of surgery as well as histopathological diagnosis.

Spectrochemical differentiation of meningioma tumours based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy.

Meningiomas are the commonest types of tumours in the central nervous system (CNS). It is a benign type of tumour divided into three WHO grades (I, II and III) associated with tumour growth rate and likelihood of recurrence, where surgical outcomes and patient treatments are dependent on the meningioma grade and histological subtype. The development of alternative approaches based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy could aid meningioma grade determination and its biospectrochemical profiling in an automated fashion.

Determination of meningioma brain tumour grades using Raman microspectroscopy imaging.

Raman spectroscopy is a powerful technique used to analyse biological materials, where spectral markers such as proteins (1500-1700 cm-1), carbohydrates (470-1200 cm-1) and phosphate groups of DNA (980, 1080-1240 cm-1) can be detected in a complex biological medium. Herein, Raman microspectroscopy imaging was used to investigate 90 brain tissue samples in order to differentiate meningioma Grade I and Grade II samples, which are the commonest types of brain tumour. Several classification algorithms using feature extraction and selection methods were tested, in which the best classification performances were achieved by principal component analysis-quadratic discriminant analysis (PCA-QDA) and successive projections algorithm-quadratic discriminant analysis (SPA-QDA), resulting in accuracies of 96.