Correlation of Optical Surface Respiratory Motion Signal and Internal Lung and Liver Tumor Motion: A Retrospective Single-Center Observational Study
Guangyu Wang, Xinyu Song, Guangjun Li, Lian Duan, Zhibin Li, Guyu Dai, Long Bai, Qing Xiao, Xiangbin Zhang, Ying Song, Sen Bai
Abstract
Purpose: Surface-guided radiation therapy (SGRT) application has limitations. This study aimed to explore the relationship between patient characteristics and their external/internal correlation to qualitatively assess the external/internal correlation in a particular patient. Methods: Liver and lung cancer patients treated with radiotherapy in our institution were retrospectively analyzed. The external/internal correlation were calculated with Spearman correlation coefficient (SCC) and SCC after support vector regression (SVR) fitting (SCC svr ). The relationship between the external/internal correlation and magnitudes of motion of the tumor and external marker (A i , A e ), tumor volume V t , patient age, gender, and tumor location were explored. Results: The external/internal motions of liver and lung cancer patients were strongly correlated in the S-I direction, with mean SCC svr values of 0.913 and 0.813. The correlation coefficients between the external/internal correlations and the patients’ characteristics (A i , A e , V t , and age) were all smaller than 0.5; A i , A e and liver tumor volumes were positively correlated with the strength of the external/internal correlation, while lung tumor volumes and patient age were negative. The external/internal correlations in males and females were roughly equal, and the external/internal correlations in patients with peripheral lung cancers were stronger than those in patients with central lung cancers. Conclusion: The external/internal correlation shows great individual differences. The effects of A i , A e , V t , and age are weakly to moderately correlated. Our results suggest the necessity of individualized assessment of patient's external/internal motion correlation prior to the application of SGRT technique for breath motion monitoring.