Uncertainties of 4-dimensional computed tomography-based tumor motion measurement for lung stereotactic body radiation therapy
Purpose: To evaluate how well tumor motion measured prior to treatment based on 4-dimensional computer tomography (4DCT) reflects actual tumor motion during beam-on throughout the course of treatment. Methods and Materials: Twenty-three patients who had lung stereotactic body radiation therapy (SBRT) treatments were retrospectively selected. All patients had 4DCT simulation for treatment planning, from which tumor motion ranges were measured (R4DCT). Tumor motion was monitored during treatment using megavoltage (MV) imaging. Tumor motion trajectories were extracted from cine MV images and were used to determine mean and maximum tumor motion range (Mean RMV, Max RMV) throughout entire course of treatment. Comparison and correlations between mean and max RMV and R4DCT were calculated. Results: On average, an insignificant difference was found between mean RMV and R4DCT (P = .67, mean [±SD] difference = -0.7 [±1.6] mm); meanwhile a significant difference was found between Max RMV and R4DCT (P = .03, mean [± SD] difference = 1.9 [±1.6] mm). The difference between RMV and R4DCT was found inversely proportional to R4DCT (Y = -0.4X + 0.6, r = 0.76). Max RMV was greater than R4DCT in all patients; difference between the 2 showed no correlation with R4DCT (Y = -0.02X + 1.9, r = 0.05). Correlation between Mean RMV and R4DCT and between Max RMV and R4DCT can be expressed as Y = 0.7X (r = 0.88) and Y = 0.8X (r = 0.50), respectively. The same analysis performed on tumors that moved less than 5 mm from 4DCT revealed the following correlations: Y = 1.3X (r = 0.83) and Y = 1.7X (r = 0.49). Conclusions: Tumor motion measured from 4DCT approximates the overall average tumor motion range, but consistently underestimates the overall maximum tumor motion range. These findings may lead to a potential strategy for managing uncertainties of 4DCT in the application of lung SBRT. © 2014 American Society for Radiation Oncology.
Zhang, F; Kelsey, CR; Yoo, D; Yin, FF; Cai, J
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