Analysis of delivery and recalculation of dose using DICOM treatment records

Chen, Z.; Moyers, Michael F.; Deng, Yu; Chen, H.L.; Li, J.; Shen, Zhuangming; Lin, James T.; Wang, Qianxia

doi:10.1016/j.radmp.2022.06.002

Cited by 3 publications

(2 citation statements)

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“…To ensure the effectiveness and safety of particle therapy, precise imaging, accurate patient setup, meticulous dose calculations, and robust quality assurance (QA) procedures must be prioritized. In this context, the log data generated by treatment machines can play a pivotal role in evaluating these conditions [8][9][10][11][12][13][14]. Log data encompass essential information concerning the treatment delivery process, including parameters such as delivered beam energy, intensity, spot positions, and patient setup details.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have explored the development of in-house patient-speci c QA (PSQA) systems based on log data from photons [15], protons [8-10, 13, 14], and carbon-ion treatment machines [12,16]. Recently, log-based PSQA has been facilitated using various commercial software packages such as Mobius3D (Varian Medical Systems, Palo Alto, CA, USA), SunCheck™ Patient (Sun Nuclear Corp, Melbourne, FL, USA), and myQA iON (IBA Dosimetry GmbH, Schwarzenbruck, Germany).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Patient-Specific Quality Assurance in Carbon-Ion Radiation Therapy: A Novel Method for Recalculating Delivered Dose Distribution Using Log Data

Yun,

Han,

Kim

et al. 2024

Preprint

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Log data from radiation treatment machines can play a crucial role in quality assurance by enabling the recalculation of the delivered dose distribution and identification of deviations in treatment delivery. This paper proposes a novel method for recalculating the delivered dose distribution in carbon-ion radiation therapy (CIRT) using log data. The proposed approach leverages existing functionality in commercial treatment planning systems, thus, eliminating the need for specialized in-house software for dose calculation and evaluation. The performed tests entail data generation from actual log files using the Digital Imaging and Communications in Medicine standard, biological dose calculations, and gamma evaluations. The log-based approach demonstrated notable advantages, including improved time efficiency and the ability to calculate three-dimensional biological doses. By recalculating the delivered dose distributions, our method improves quality assurance accuracy in CIRT. It complements conventional measurement-based patient-specific quality assurance (PSQA) methods, serving as a valuable addition to the arsenal of tools available for treatment evaluation. We believe that our method has the potential to enhance the efficacy of PSQA and contribute significantly to the advancement of CIRT, thereby reinforcing the ongoing evolution of particle therapy.

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