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Investigating the potential impact of four-dimensional computed tomography (4DCT) on toxicity, outcomes and dose escalation for radical lung cancer radiotherapy

机译:研究二维计算机断层扫描(4DCT)对根治性肺癌放疗的毒性,结果和剂量递增的潜在影响

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Aims: To investigate the potential dosimetric and clinical benefits predicted by using four-dimensional computed tomography (4DCT) compared with 3DCT in the planning of radical radiotherapy for non-small cell lung cancer. Materials and methods: Twenty patients were planned using free breathing 4DCT then retrospectively delineated on three-dimensional helical scan sets (3DCT). Beam arrangement and total dose (55Gy in 20 fractions) were matched for 3D and 4D plans. Plans were compared for differences in planning target volume (PTV) geometrics and normal tissue complication probability (NTCP) for organs at risk using dose volume histograms. Tumour control probability and NTCP were modelled using the Lyman-Kutcher-Burman (LKB) model. This was compared with a predictive clinical algorithm (Maastro), which is based on patient characteristics, including: age, performance status, smoking history, lung function, tumour staging and concomitant chemotherapy, to predict survival and toxicity outcomes. Potential therapeutic gains were investigated by applying isotoxic dose escalation to both plans using constraints for mean lung dose (18Gy), oesophageal maximum (70Gy) and spinal cord maximum (48Gy). Results: 4DCT based plans had lower PTV volumes, a lower dose to organs at risk and lower predicted NTCP rates on LKB modelling (P<0.006). The clinical algorithm showed no difference for predicted 2-year survival and dyspnoea rates between the groups, but did predict for lower oesophageal toxicity with 4DCT plans (P=0.001). There was no correlation between LKB modelling and the clinical algorithm for lung toxicity or survival. Dose escalation was possible in 15/20 cases, with a mean increase in dose by a factor of 1.19 (10.45Gy) using 4DCT compared with 3DCT plans. Conclusions: 4DCT can theoretically improve therapeutic ratio and dose escalation based on dosimetric parameters and mathematical modelling. However, when individual characteristics are incorporated, this gain may be less evident in terms of survival and dyspnoea rates. 4DCT allows potential for isotoxic dose escalation, which may lead to improved local control and better overall survival.
机译:目的:研究在非小细胞肺癌根治性放疗计划中,与4DCT和3DCT相比,使用4D CT预测的潜在剂量学和临床益处。材料和方法:20名患者计划使用自由呼吸4DCT,然后在三维螺旋扫描集(3DCT)上进行回顾性描述。光束布置和总剂量(20个部分中的55Gy)与3D和4D计划匹配。使用剂量体积直方图比较了处于风险中的器官的计划目标体积(PTV)几何形状和正常组织并发症概率(NTCP)的计划差异。使用Lyman-Kutcher-Burman(LKB)模型对肿瘤控制概率和NTCP进行建模。将其与基于患者特征的预测性临床算法(Maastro)进行了比较,该算法包括:年龄,工作状态,吸烟史,肺功能,肿瘤分期和伴随的化疗,以预测生存和毒性结果。通过将平均肺部剂量(18Gy),食道最大(70Gy)和脊髓最大(48Gy)的限制应用于两个计划,研究了潜在的治疗获益,方法是将等毒性剂量逐步增加。结果:基于4DCT的计划在LKB模型上具有较低的PTV量,较低的风险器官剂量和较低的预测NTCP率(P <0.006)。临床算法显示两组之间预计的2年生存率和呼吸困难率无差异,但确实通过4DCT计划预测了较低的食道毒性(P = 0.001)。 LKB建模与肺毒性或生存的临床算法之间没有相关性。在15/20的病例中,剂量增加是可能的,与3DCT计划相比,使用4DCT可使剂量平均增加1.19(10.45Gy)。结论:4DCT在剂量学参数和数学模型的基础上可以从理论上提高治疗率和剂量递增。但是,当结合了个体特征时,就生存率和呼吸困难率而言,这种获益可能并不明显。 4DCT可能会增加等毒剂量,这可能导致改善的局部控制和更好的总体生存率。

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