Gray Laboratory Oxford Institute for Radiation Oncology and Biology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, UK.
Br J Radiol. 2019 Dec;92(1104):20190672. doi: 10.1259/bjr.20190672. Epub 2019 Nov 7.
This paper considers aspects of radiobiology and cell and tissue kinetics applicable to legal disputations concerned with diagnostic and treatment onset delays.
Various models for tumour volume changes with time are reviewed for estimating volume ranges at earlier times, using ranges of kinetic parameters. Statistical cure probability methods, using Poisson statistics with allowances for parameter heterogeneity, are also described to estimate the significance of treatment delays, as well as biological effective dose (BED) estimations of radiation effectiveness.
The use of growth curves, based on parameters in the literature but with extended ranges, can identify a window of earlier times when such tumour volumes would be amenable to a cure based on the literature for curability with stage (and dimensions). Also, where tumour dimensions are not available in a post-operative setting, higher cure probabilities can be achieved if treatment had been given at earlier times.
The use of radiobiological modelling can provide useful insights, with quantitative assessments of probable prior conditions and future outcomes, and thus be of assistance to a Court in deciding the most correct judgement.
This study collates prior knowledge about aspects of radiobiology that can be useful in the accumulation of sufficient proof within medicolegal claims involving diagnostic and treatment days.
本文考虑了放射生物学和细胞与组织动力学的各个方面,这些方面适用于与诊断和治疗起始延迟有关的法律争议。
本文回顾了各种肿瘤体积随时间变化的模型,以使用动力学参数范围来估计早期的体积范围。还描述了使用泊松统计和允许参数异质性的统计治愈率方法,以估计治疗延迟的意义,以及辐射有效性的生物有效剂量(BED)估计。
使用基于文献中的参数但扩展了范围的生长曲线,可以确定一个早期的时间窗口,在这个窗口中,基于文献中对可治愈性的阶段(和尺寸)的可治愈性,肿瘤体积可以得到治愈。此外,如果在术后环境中无法获得肿瘤尺寸,则如果更早开始治疗,可以实现更高的治愈率。
放射生物学建模的使用可以提供有用的见解,对先前条件和未来结果进行定量评估,从而有助于法院做出最正确的判决。
本研究汇集了有关放射生物学方面的先验知识,这些知识在涉及诊断和治疗天数的医学法律索赔中积累足够证据方面非常有用。