Simulation of dosimetry impact of 4DCT uncertainty in 4D dose calculation for lung SBRT.

Document Type

Article

Publication Date

1-8-2019

Publication Title

Radiation Oncology

Abstract

BACKGROUND: Due to the heterogeneity of patient's individual respiratory motion pattern in lung stereotactic body radiotherapy (SBRT), treatment planning dose assessment using a traditional four-dimensional computed tomography (4DCT_traditional) images based on a uniform breathing curve may not represent the true treatment dose delivered to the patient. The purpose of this study was to evaluate the accumulated dose discrepancy between based on the 4DCT_traditional and true 4DCT (4DCT_true) that incorporated with the patient's real entire breathing motion. The study also explored a novel 4D robust planning strategy to compensate for such heterogeneity respiratory motion uncertainties.

METHODS: Simulated and measured patient specific breathing curves were used to generate 4D targets motion CT images. Volumetric-modulated arc therapy (VMAT) was planned using two arcs. Accumulated dose was obtained by recalculating the plan dose on each individual phase image and then deformed the dose from each phase image to the reference image. The "4 D dose" (D

RESULTS: With increasing breathing amplitude from 5 to 20 mm, target [Formula: see text], [Formula: see text] increased from 1.59,1.39 to 10.15%,8.66% respectively. When the standard deviation of breathing amplitude increased from 15 to 35% of the mean amplitude, [Formula: see text], [Formula: see text] increased from 4.06,3.48 to 10.25%,6.63% respectively. The 4D Ro-VMAT plan significantly improve the target dose compared to VMAT plan.

CONCLUSION: When the breathing curve amplitude is more than 10 mm and standard deviation of amplitude is higher than 25% of mean amplitude, special care is needed to choose an appropriated dose accumulation approach to evaluate lung SBRT plan target coverage robustness. The proposed 4D Ro_VMAT strategy based on the pdf of patient specific breathing curve could effectively compensate such uncertainties.

Volume

14

Issue

1

First Page

1

Last Page

1

DOI

10.1186/s13014-018-1191-y

ISSN

1748-717X

PubMed ID

30621744

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