Correlation of Optical Surface Respiratory Motion Signal and Internal Lung and Liver Tumor Motion: A Retrospective Single-Center Observational Study.

Technol Cancer Res Treat

Department of Radiation Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, 12530Sichuan University, Chengdu, China.

Published: July 2022

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. 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). The relationship between the external/internal correlation and magnitudes of motion of the tumor and external marker (A, A), tumor volume V, patient age, gender, and tumor location were explored. The external/internal motions of liver and lung cancer patients were strongly correlated in the S-I direction, with mean SCC values of 0.913 and 0.813. The correlation coefficients between the external/internal correlations and the patients' characteristics (A, A, V, and age) were all smaller than 0.5; A, A 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. The external/internal correlation shows great individual differences. The effects of A, A, V, 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272160PMC
http://dx.doi.org/10.1177/15330338221112280DOI Listing

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