Method for performing multi-omics processing through data of patient with head and neck cancer, related computer readable medium and computing equipment

Abstract

The invention provides a method for performing multi-omics processing through radiotherapy data of a head and neck cancer patient, which applies multi-omics to pre-treatment evaluation of radiotherapy re-planning requirements of the head and neck cancer patient, and comprises the following steps: (1) preprocessing radiotherapy patient data of the head and neck cancer patient; the radiotherapy patient data comprises radiotherapy data and clinical feature data of a patient; (2) extracting multiple omics features from the preprocessed radiotherapy patient data; and (3) estimating or predicting the RTR demand of the head and neck cancer patient by fitting the extracted multi-omics features based on a prediction model. The present invention allows for "pre-treatment" identification of risky patients for RTR, so that doctors can know these patients in advance and better allocate resources to them. According to the invention, the dosage and/or the coverage range of the tumor in the radiotherapy process are/is not changed; patients still experience changes in their anatomy (volume and position of the organ) during radiotherapy because this is a natural response of the organ during radiotherapy irradiation. 本发明提供了一种通过头颈癌患者的放疗数据进行多组学处理的方法，其中将多组学应用于所述头颈癌患者的放疗重新计划需求的治疗前评估，包括以下步骤：(1)对头颈癌患者的放疗患者数据的预处理，所述放疗患者数据包括放疗数据和患者的临床特征数据；(2)从经过预处理的放疗患者数据中提取多组学特征；(3)基于预测模型通过拟合所提取的多组学特征来对所述头颈癌患者的RTR需求进行估算或预测。本发明允许针对RTR对有风险的患者进行“治疗前”识别，使得医生可以提前了解这些患者并更好地为他们分配资源。本发明不改变在放疗过程中针对肿瘤的剂量和/或其覆盖范围；患者在放疗过程中仍会经历其解剖结构(器官的体积和位置)的变化，因为这是器官在放疗照射时的自然反应。