201. Dose-averaged linear energy transfer within the gross tumor volume of non-small-cell lung cancer affects the local control in carbon-ion radiotherapy.
- Author
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Li, Guangsheng, Ma, Ningyi, Wang, Weiwei, Chen, Jian, Mao, Jingfang, Jiang, Guoliang, and Wu, Kailiang
- Abstract
• Linear energy transfer affect local control of lung cancer with carbon-ion radiotherapy. • LET d in iGTV in the local recurrence group was lower than the local control group. • LET d distribution within iGTV should be routinely assessed in CIRT for lung cancer. High linear energy transfer (LET) radiation exhibits stronger tumor-killing effect. However, the correlation between LET and the therapeutic efficacy in Carbon-ion radiotherapy (CIRT) for locally advanced non-small-cell lung cancer (LA-NSCLC) is currently not clear. This study aimed to investigate the relationship between the dose-averaged LET (LET d) distribution within tumor and local recurrence for LA-NSCLC treated with CIRT. An analysis of 62 consecutive patients with LA-NSCLC who underwent CIRT from 2018 to 2022 was conducted. The LET d distribution was calculated based on their treated plans, and the correlation between local recurrence and LET d , relative biological effectiveness (RBE)-weighted doses (D RBE) and clinical factors was investigated. Receiver operating characteristic (ROC) curve, log-rank test, and Cox regression analysis were performed based on that. 16 patients were defined as local recurrence. Overall survival (OS) and local control (LC) at 24 months were 76.9 % and 73.2 %, respectively. The mean LET d in internal gross tumor volume (iGTV) in the local recurrence group was 48.7 keV/µm, significantly lower than the mean LET d of 53.2 keV/µm in the local control group (p = 0.016). No significant difference was observed in D RBE between the local recurrence and local control groups. ROC curve analysis indicated that a percentage of 88 % of volume in iGTV receiving at least 40 keV/µm (V 40 k e V / μ m) is the optimal threshold for predicting local recurrence (Area under curve (AUC) = 0.7636). The log-rank test and Cox regression analysis revealed that the LET d value covering 98 % volume of iGTV ( LET d 98 %) was a significant risk factor for LC (p = 0.020). Our study revealed an association between LET d distribution and local recurrence in patients with LA-NSCLC. These findings suggest that lower LET d may increase the probability of local recurrence. We suggest that LET d distribution within iGTV should be routinely assessed in CIRT for lung cancer. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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