Purpose: To investigate the effects of inhomogeneity correction algorithms on dose calculations using an inhomogeneity phantom and clinical cases of lung cancer.
Materials and methods: Two inhomogeneity correction algorithms, the Batho (generalized Batho Power Law) and equivalent tissue-air-ratio (ETAR) equipped with Cadplan Helios ver. 6.01, were evaluated in the present study. Using phantoms with 5 and 10 cm cork layers between water density material layers, the central axis depth doses for points beyond the cork layer were measured and compared with the calculated doses, with and without inhomogeneity corrections. Photon beams of 6 and 10 MV were used. We analyzed the values of the monitor unit (MU) of 50 beams calculated with and without correction algorithms using patient data from patients with lung cancer.
Results: In the phantom experiments, the measured doses showed overdoses of 6.7-21.8% compared with the calculated doses without inhomogeneity correction algorithms. The measured doses with the Batho algorithm ranged from 0.938 to 1.003 of the calculated dose. The ETAR algorithm had a tendency to predict lower values than the Batho algorithm. In the patient data analysis, the Batho and ETAR yielded underdosing of 4.2% and 5.6% on average, respectively, compared with the uncorrected doses.
Conclusions: The inhomogeneity correction algorithms, Batho and ETAR, are effective in predicting the doses delivered to points beyond the lung. However, in using these correction algorithms in clinical studies, the underdosing of the tumor doses should be considered compared with the uncorrected doses.
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