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Predicting surgical outcome in patients with glioblastoma multiforme using pre-operative magnetic resonance imaging: development and preliminary validation of a grading system.
Marcus, Hani J; Williams, Sophie; Hughes-Hallett, Archie; Camp, Sophie J; Nandi, Dipankar; Thorne, Lewis.
Afiliación
  • Marcus HJ; The Hamlyn Centre, Institute of Global Health Innovation, Imperial College, London, UK. hani.marcus10@imperial.ac.uk.
  • Williams S; Department of Neurosurgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK. hani.marcus10@imperial.ac.uk.
  • Hughes-Hallett A; Clinical Research Fellow and Specialty Registrar in Neurosurgery, Hamlyn Centre, Imperial College London and Imperial College Healthcare NHS Trust, Paterson Building (Level 3), Praed Street, London, W2 1NY, UK. hani.marcus10@imperial.ac.uk.
  • Camp SJ; Department of Medicine, Imperial College, London, UK.
  • Nandi D; The Hamlyn Centre, Institute of Global Health Innovation, Imperial College, London, UK.
  • Thorne L; Department of Neurosurgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Neurosurg Rev ; 40(4): 621-631, 2017 Oct.
Article en En | MEDLINE | ID: mdl-28204997
The lack of a simple, objective and reproducible system to describe glioblastoma multiforme (GBM) represents a major limitation in comparative effectiveness research. The objectives of this study were therefore to develop such a grading system and to validate it on patients who underwent surgical resection. A systematic review of the literature was performed to identify features on pre-operative magnetic resonance imaging (MRI) that predict the surgical outcome of patients with GBM. In all, the five most important features of GBM on pre-operative MRI were as follows: periventricular or deep location, corpus callosum or bilateral location, eloquent location, size and associated oedema. These were then used to develop a grading system. To validate this grading system, a retrospective cohort study of all adult patients with supratentorial GBM who underwent surgical resection between the 1 January 2014 and the 31 June 2015 was performed. There was a substantial agreement between the two neurosurgeons grading GBM (Cohen's κ was 0.625; standard error 0.066). High-complexity lesions were significantly less likely to result in complete resection of contrast-enhancing tumour than low-complexity lesions (50.0 versus 3.4%; p = 0.0007). The proposed grading system may allow for the standardised communication of anatomical features of GBM identified on pre-operative MRI.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Neoplasias Supratentoriales / Glioblastoma Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neurosurg Rev Año: 2017 Tipo del documento: Article Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Neoplasias Supratentoriales / Glioblastoma Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neurosurg Rev Año: 2017 Tipo del documento: Article Pais de publicación: Alemania