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首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >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
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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

机译:使用空间剂量指标和机器学习方法对头颈部放疗导致的严重急性口腔粘膜炎进行正常组织并发症概率(NTCP)建模

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摘要

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 such a model using spatial dose metrics and machine learning.
机译:背景与目的:严重的急性粘膜炎通常是由头和颈(化学)放疗引起的。粘膜炎的预测模型可以指导临床决策并为治疗计划提供依据。我们旨在使用空间剂量指标和机器学习来生成这样的模型。

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