Determining the risk of spinal pathology progression in neurofibromatosis type 1 patients - a national tertiary neurofibromatosis type 1 centre study.

Background: Neurofibromatosis type 1 (NF1) gives rise to a variety of spinal pathologies that include dural ectasia (DE), vertebral malalignments (VMA), spinal deformities (SD), syrinx, meningoceles, spinal nerve root tumours (SNRT), and spinal plexiform tumours (SPT). The relationship between these and the progression of these pathologies has not been explored before in detail and this paper aims to address this.

Methods: Data was retrospectively collected from adult NF1 multi-disciplinary team meetings from 2016 to 2022 involving a total of 593 patients with 20 distinct predictor variables.

Predicting neurosurgical referral outcomes in patients with chronic subdural hematomas using machine learning algorithms - A multi-center feasibility study.

Background: Chronic subdural hematoma (CSDH) incidence and referral rates to neurosurgery are increasing. Accurate and automated evidence-based referral decision-support tools that can triage referrals are required. Our objective was to explore the feasibility of machine learning (ML) algorithms in predicting the outcome of a CSDH referral made to neurosurgery and to examine their reliability on external validation.