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Progress towards Patient-Specific Spatially-Continuous Radiobiological Dose Prescription and Planning in Prostate Cancer IMRT: An Overview

机译:前列腺癌IMRT中针对患者的空间连续的放射生物学剂量处方和计划的进展:概述

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摘要

Advances in imaging have enabled the identification of prostate cancer foci with an initial application to focal dose escalation, with subvolumes created with image intensity thresholds. Through quantitative imaging techniques, correlations between image parameters and tumour characteristics have been identified. Mathematical functions are typically used to relate image parameters to prescription dose to improve the clinical relevance of the resulting dose distribution. However, these relationships have remained speculative or invalidated. In contrast, the use of radiobiological models during treatment planning optimisation, termed biological optimisation, has the advantage of directly considering the biological effect of the resulting dose distribution. This has led to an increased interest in the accurate derivation of radiobiological parameters from quantitative imaging to inform the models. This article reviews the progress in treatment planning using image-informed tumour biology, from focal dose escalation to the current trend of individualised biological treatment planning using image-derived radiobiological parameters, with the focus on prostate intensity-modulated radiotherapy (IMRT).
机译:成像技术的进步使前列腺癌病灶的识别成为可能,其最初应用到了病灶剂量的逐步升高,并通过图像强度阈值创建了子体积。通过定量成像技术,已经确定了图像参数与肿瘤特征之间的相关性。通常使用数学函数将图像参数与处方剂量相关联,以改善所得剂量分布的临床相关性。但是,这些关系仍然是推测性的或无效的。相反,在治疗计划优化过程中使用放射生物学模型(称为生物优化)具有直接考虑所得剂量分布的生物学效应的优势。这引起了人们对从定量成像准确推导放射生物学参数以告知模型的兴趣增加。本文回顾了使用影像学知悉的肿瘤生物学进行治疗规划的进展,从局灶剂量逐步升高到使用影像学放射生物学参数进行个体化生物治疗规划的当前趋势,重点是前列腺强度调制放疗(IMRT)。

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