Indiana University Health Arnett, Lafayette, IN, USA.
University of Texas MD Anderson Cancer Center, Houston, TX, USA.
J Theor Biol. 2021 Mar 7;512:110565. doi: 10.1016/j.jtbi.2020.110565. Epub 2020 Dec 18.
We developed a tumor control probability (TCP) model that incorporates variable time intervals between fractions and a kick-off time (T) for radiation-induced accelerated tumor proliferation. The resulting Lee-Rosen model, TCP, was used to compute TCPs for treatment courses with and without weekend treatment for tumors with different proliferation rates - slow (prostate), moderate (breast), and rapid (head and neck). TCPs were computed using ideal uniform dose distributions and actual patient plans. The doses for the uniform plans were the mean doses for the prostate and breast cases and the minimum tumor dose for the head and neck case. The TCP model predictions agreed with expectations that TCP increases with increasing T in all cases. For standard fractionation, as T increased from 0 to 4 weeks, TCP increased for the patient distributions by 74.7% for the head and neck cancer, by 6.2% for the breast cancer, and by 2.4% for the prostate cancers. For the uniform dose distributions, the increases were 79.2%, 5.7%, and 2.3%, respectively. TCP increased as the number of weekend breaks decreased. The effect of weekend breaks decreased as the tumor proliferation rate decreased. For the head and neck tumor, notable decreases in TCP of 6.0% (uniform dose distribution) and 6.8% (actual plan dose distribution) were observed with Friday starts compared to Monday starts for the standard 5 fx/wk schedule (T = 4 wk). The 7 fx/wk schedule produced increases in TCP of 17.0% and 20.5% for the uniform and patient dose distributions, respectively, compared to the standard schedule. For the breast cancer, starting the 5 fx/wk schedule on Friday decreased the TCP by 0.2% (T = 4 wk) compared to a Monday start. The 7 fx/wk schedule produced increases of 0.3% and 0.4% in TCP compared to the standard schedule for the uniform and patient dose distributions, respectively (T = 4 wk). For the prostate cancer, the change in TCP for 5 fx/wk schedules starting on different days was 0.1%. The 7 fx/wk schedule increased TCP by 0.8% compared to the standard schedule (T = 4 wk). TCP values for the uniform dose distributions for the standard schedule (T = 4 wk) agreed with the TCP values for the actual dose distributions within 4.5% for the head and neck tumor and within 0.2% for the breast and prostate tumors. This good agreement suggests that the doses chosen for the uniform dose distributions were good approximations to the clinical doses. The results for head and neck tumors support, in part, the current practice of hyperfractionated/accelerated radiotherapy. They also suggest that shortening the overall treatment time for conventional fractions by eliminating weekend breaks might be beneficial. The predicted effect on TCP of the various schedules studied was insignificant for prostate and breast tumors, suggesting that a weekend treatment might not be necessary for patients starting radiotherapy on a Friday. There is significant uncertainty in the values of the model parameters chosen for these calculations, and no consideration was given to the potential effects of these various schedules on normal tissues.
我们开发了一种肿瘤控制概率(TCP)模型,该模型将分次之间的可变时间间隔和辐射诱导的肿瘤加速增殖的起始时间(T)纳入其中。由此产生的 Lee-Rosen 模型,TCP,用于计算具有和不具有周末治疗的治疗过程的 TCP,这些治疗过程适用于不同增殖率的肿瘤 - 缓慢(前列腺),中度(乳房)和快速(头颈部)。使用理想的均匀剂量分布和实际患者计划计算 TCP。均匀计划的剂量是前列腺和乳房病例的平均剂量以及头颈部病例的最小肿瘤剂量。 TCP 模型预测与预期一致,即 TCP 在所有情况下随 T 的增加而增加。对于标准分割,当 T 从 0 增加到 4 周时,对于患者分布,头颈部癌症的 TCP 增加了 74.7%,乳腺癌增加了 6.2%,前列腺癌增加了 2.4%。对于均匀剂量分布,增加分别为 79.2%,5.7%和 2.3%。 TCP 随着周末休息次数的减少而增加。周末休息的效果随着肿瘤增殖率的降低而降低。对于头颈部肿瘤,与周一开始治疗相比,周五开始治疗(标准 5fx / wk 时间表,T = 4 周)时,TCP 分别显著降低了 6.0%(均匀剂量分布)和 6.8%(实际计划剂量分布)。与标准方案相比,7fx / wk 方案分别使均匀和患者剂量分布的 TCP 增加了 17.0%和 20.5%。对于乳腺癌,与周一开始治疗相比,周五开始治疗(T = 4 周)时,5fx / wk 方案的 TCP 降低了 0.2%。与标准方案相比,7fx / wk 方案使均匀和患者剂量分布的 TCP 分别增加了 0.3%和 0.4%(T = 4 周)。对于前列腺癌,不同日子开始的 5fx / wk 时间表的 TCP 变化为 0.1%。与标准方案相比,7fx / wk 方案将 TCP 增加了 0.8%(T = 4 周)。标准时间表的均匀剂量分布的 TCP 值与实际剂量分布的 TCP 值在头颈部肿瘤内相差 4.5%,在乳房和前列腺肿瘤内相差 0.2%。这种良好的一致性表明,为均匀剂量分布选择的剂量是临床剂量的良好近似值。对头颈部肿瘤的研究结果在一定程度上支持了目前的超分割/加速放射治疗实践。它们还表明,通过消除周末休息来缩短常规分次的总治疗时间可能是有益的。对于前列腺和乳腺癌肿瘤,各种研究方案对 TCP 的预测影响并不明显,这表明对于周五开始接受放射治疗的患者,周末治疗可能不是必需的。对于这些计算中选择的模型参数的值存在很大的不确定性,并且没有考虑这些各种方案对正常组织的潜在影响。