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Normal Tissue Complication Probability (NTCP) Modelling of Severe Acute Mucositis using a Novel Oral Mucosal Surface Organ at Risk.
Dean, J A; Welsh, L C; Wong, K H; Aleksic, A; Dunne, E; Islam, M R; Patel, A; Patel, P; Petkar, I; Phillips, I; Sham, J; Schick, U; Newbold, K L; Bhide, S A; Harrington, K J; Nutting, C M; Gulliford, S L.
Afiliación
  • Dean JA; Joint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK. Electronic address: jamie.dean@icr.ac.uk.
  • Welsh LC; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Wong KH; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Aleksic A; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Dunne E; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Islam MR; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Patel A; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Patel P; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Petkar I; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Phillips I; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Sham J; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Schick U; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK.
  • Newbold KL; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Bhide SA; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Harrington KJ; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Nutting CM; Head and Neck Unit, The Royal Marsden NHS Foundation Trust, London, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
  • Gulliford SL; Joint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Clin Oncol (R Coll Radiol) ; 29(4): 263-273, 2017 04.
Article en En | MEDLINE | ID: mdl-28057404
AIMS: A normal tissue complication probability (NTCP) model of severe acute mucositis would be highly useful to guide clinical decision making and inform radiotherapy planning. We aimed to improve upon our previous model by using a novel oral mucosal surface organ at risk (OAR) in place of an oral cavity OAR. MATERIALS AND METHODS: Predictive models of severe acute mucositis were generated using radiotherapy dose to the oral cavity OAR or mucosal surface OAR and clinical data. Penalised logistic regression and random forest classification (RFC) models were generated for both OARs and compared. Internal validation was carried out with 100-iteration stratified shuffle split cross-validation, using multiple metrics to assess different aspects of model performance. Associations between treatment covariates and severe mucositis were explored using RFC feature importance. RESULTS: Penalised logistic regression and RFC models using the oral cavity OAR performed at least as well as the models using mucosal surface OAR. Associations between dose metrics and severe mucositis were similar between the mucosal surface and oral cavity models. The volumes of oral cavity or mucosal surface receiving intermediate and high doses were most strongly associated with severe mucositis. CONCLUSIONS: The simpler oral cavity OAR should be preferred over the mucosal surface OAR for NTCP modelling of severe mucositis. We recommend minimising the volume of mucosa receiving intermediate and high doses, where possible.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia / Mucositis / Neoplasias de Cabeza y Cuello / Mucosa Bucal Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Revista: Clin Oncol (R Coll Radiol) Asunto de la revista: NEOPLASIAS Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia / Mucositis / Neoplasias de Cabeza y Cuello / Mucosa Bucal Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Revista: Clin Oncol (R Coll Radiol) Asunto de la revista: NEOPLASIAS Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido