Alobaidli S, McQuaid S, South C, Prakash V, Evans P, Nisbet A
1 Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK.
Br J Radiol. 2014 Oct;87(1042):20140369. doi: 10.1259/bjr.20140369. Epub 2014 Jul 23.
Predicting a tumour's response to radiotherapy prior to the start of treatment could enhance clinical care management by enabling the personalization of treatment plans based on predicted outcome. In recent years, there has been accumulating evidence relating tumour texture to patient survival and response to treatment. Tumour texture could be measured from medical images that provide a non-invasive method of capturing intratumoural heterogeneity and hence could potentially enable a prior assessment of a patient's predicted response to treatment. In this article, work presented in the literature regarding texture analysis in radiotherapy in relation to survival and outcome is discussed. Challenges facing integrating texture analysis in radiotherapy planning are highlighted and recommendations for future directions in research are suggested.
在治疗开始前预测肿瘤对放疗的反应,可通过根据预测结果制定个性化治疗方案来加强临床护理管理。近年来,越来越多的证据表明肿瘤纹理与患者生存率及治疗反应有关。肿瘤纹理可通过医学图像进行测量,这提供了一种捕获肿瘤内异质性的非侵入性方法,因此有可能对患者的预测治疗反应进行预先评估。本文讨论了文献中提出的有关放疗中纹理分析与生存率及治疗结果关系的研究。强调了将纹理分析整合到放疗计划中面临的挑战,并对未来研究方向提出了建议。