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Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome

Liu, Jo-Fen; Dineen, Robert A.; Avula, Shivaram; Chambers, Tom; Dutta, Manali; Jaspan, Tim; MacArthur, Donald C.; Howarth, Simon; Soria, Daniele; Quinlan, Philip; Harave, Srikrishna; Ong, Chan Chang; Mallucci, Conor L.; Kumar, Ram; Pizer, Barry; Walker, David A.

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Authors

Jo-Fen Liu

ROBERT DINEEN rob.dineen@nottingham.ac.uk
Professor of Neuroradiology

Shivaram Avula

Tom Chambers

Manali Dutta

Tim Jaspan

Donald C. MacArthur

Simon Howarth

Daniele Soria

Philip Quinlan

Srikrishna Harave

Chan Chang Ong

Conor L. Mallucci

Ram Kumar

Barry Pizer

David A. Walker



Abstract

BACKGROUND: Despite previous identification of pre-operative clinical and radiological predictors of post-operative paediatric cerebellar mutism syndrome (CMS), a unifying pre-operative risk stratification model for use during surgical consent is currently lacking. The aim of the project is to develop a simple imaging-based pre-operative risk scoring scheme to stratify patients in terms of post-operative CMS risk.
METHODS: Pre-operative radiological features were recorded for a retrospectively assembled cohort of 89 posterior fossa tumour patients from two major UK treatment centers (age 2-23yrs; gender 28?M, 61?F; diagnosis: 38 pilocytic astrocytoma, 32 medulloblastoma, 12 ependymoma, 1 high grade glioma, 1 pilomyxoid astrocytoma, 1 atypical teratoid rhabdoid tumour, 1 hemangioma, 1 neurilemmoma, 2 oligodendroglioma). Twenty-six (29%) developed post-operative CMS. Based upon results from univariate analysis and C4.5 decision tree, stepwise logistic regression was used to develop the optimal model and generate risk scores.
RESULTS: Univariate analysis identified five significant risk factors and C4.5 decision tree analysis identified six predictors. Variables included in the final model are MRI primary location, bilateral middle cerebellar peduncle involvement (invasion and/or compression), dentate nucleus invasion and age at imaging >12.4 years. This model has an accuracy of 88.8% (79/89). Using risk score cut-off of 203 and 238, respectively, allowed discrimination into low (38/89, predicted CMS probability

Citation

Liu, J., Dineen, R. A., Avula, S., Chambers, T., Dutta, M., Jaspan, T., …Walker, D. A. (in press). Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome. British Journal of Neurosurgery, https://doi.org/10.1080/02688697.2018.1431204

Journal Article Type Article
Acceptance Date Jan 18, 2018
Online Publication Date Feb 12, 2018
Deposit Date Apr 24, 2018
Publicly Available Date Feb 13, 2019
Journal British Journal of Neurosurgery
Print ISSN 0268-8697
Electronic ISSN 0268-8697
Publisher Taylor & Francis Open
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/02688697.2018.1431204
Keywords Cerebellar mutism; paediatric brain tumours; posterior fossa syndrome; posterior fossa tumours; pre-operative risk assessment
Public URL https://nottingham-repository.worktribe.com/output/911277
Publisher URL https://www.tandfonline.com/doi/full/10.1080/02688697.2018.1431204