Browsing ICR Divisions by author "Dean, Jamie"
Now showing items 1-6 of 6
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Assessment of fully-automated atlas-based segmentation of novel oral mucosal surface organ-at-risk.
Dean, JA; Welsh, LC; McQuaid, D; Wong, KH; Aleksic, A; et al. (ELSEVIER IRELAND LTD, 2016-04-01)BACKGROUND AND PURPOSE: Current oral mucositis normal tissue complication probability models, based on the dose distribution to the oral cavity volume, have suboptimal predictive power. Improving the delineation of the ... -
Functional Data Analysis Applied to Modeling of Severe Acute Mucositis and Dysphagia Resulting From Head and Neck Radiation Therapy.
Dean, JA; Wong, KH; Gay, H; Welsh, LC; Jones, A-B; et al. (ELSEVIER SCIENCE INC, 2016-11-15)PURPOSE: Current normal tissue complication probability modeling using logistic regression suffers from bias and high uncertainty in the presence of highly correlated radiation therapy (RT) dose data. This hinders robust ... -
Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy.
Dean, J; Wong, K; Gay, H; Welsh, L; Jones, A-B; et al. (ELSEVIER IRELAND LTD, 2018-01-01)Severe acute dysphagia commonly results from head and neck radiotherapy (RT). A model enabling prediction of severity of acute dysphagia for individual patients could guide clinical decision-making. Statistical associations ... -
Normal Tissue Complication Probability (NTCP) Modelling of Severe Acute Mucositis using a Novel Oral Mucosal Surface Organ at Risk.
Dean, JA; Welsh, LC; Wong, KH; Aleksic, A; Dunne, E; et al. (ELSEVIER SCIENCE LONDON, 2017-04-01)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 ... -
Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy.
Dean, JA; Wong, KH; Welsh, LC; Jones, A-B; Schick, U; et al. (ELSEVIER IRELAND LTD, 2016-07-01)BACKGROUND AND PURPOSE: Severe acute mucositis commonly results from head and neck (chemo)radiotherapy. A predictive model of mucositis could guide clinical decision-making and inform treatment planning. We aimed to generate ... -
Prospective, longitudinal, multi-modal functional imaging for radical chemo-IMRT treatment of locally advanced head and neck cancer: the INSIGHT study.
Welsh, L; Panek, R; McQuaid, D; Dunlop, A; Schmidt, M; et al. (BIOMED CENTRAL LTD, 2015-05-15)BACKGROUND: Radical chemo-radiotherapy (CRT) is an effective organ-sparing treatment option for patients with locally advanced head and neck cancer (LAHNC). Despite advances in treatment for LAHNC, a significant minority ...