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Adaptive radiation therapy for real-time deformations using dose-optimised multileaf collimator tracking: anproof of concept for multiple lung lesions.

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Physics in medicine and biology 📖 저널 OA 34.6% 2024: 0/1 OA 2025: 4/21 OA 2026: 14/26 OA 2024~2026 2025 Vol.70(22)
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Hewson EA, Mejnertsen L, Booth JT, Keall PJ

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Anatomy continuously deforms during radiation therapy.

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↓ .bib ↓ .ris
APA Hewson EA, Mejnertsen L, et al. (2025). Adaptive radiation therapy for real-time deformations using dose-optimised multileaf collimator tracking: anproof of concept for multiple lung lesions.. Physics in medicine and biology, 70(22). https://doi.org/10.1088/1361-6560/ae14ab
MLA Hewson EA, et al.. "Adaptive radiation therapy for real-time deformations using dose-optimised multileaf collimator tracking: anproof of concept for multiple lung lesions.." Physics in medicine and biology, vol. 70, no. 22, 2025.
PMID 41106409 ↗

Abstract

Anatomy continuously deforms during radiation therapy. Although real-time volumetric imaging approaches are emerging, there is a lack of adaptive strategies that account for intrafraction deformations. The purpose of this study was to develop a multileaf collimator (MLC) tracking method that adapts to deformations and evaluate the performance for lung cancer with multiple lesions.Dose-optimised deformable MLC tracking was developed using a fast dose calculation to accumulate dose at each timestep. The accumulated planned doses were deformed to represent the desired dose distribution for the deformed anatomy and the MLC leaf positions were optimised to minimise the difference between the delivered and deformed planned dose. Dose-optimised deformable MLC tracking was evaluated using four lung cancer cases generated using the 4D XCAT digital phantom. Stereotactic ablative radiotherapy treatment plans were created using a planning target volume (PTV) margin expansion of 5 mm on the gross tumour volumes (GTV). Treatments were simulated using three patient-measured motions for each phantom. The doses accumulated using the fast dose calculation model with MLC tracking were compared to an internal target volume (ITV)-based approach.The volume of the PTVs were reduced by an average of 34% using dose-optimised deformable MLC tracking compared to the ITV-based approach. The mean differences and standard deviations from the planned doses were -0.5% ± 0.6% for the GTV Dand -1.1% ± 0.6% for the PTV Dwhen dose-optimised deformable MLC tracking was used, and -5.2% ± 8.8% for the ITV Dand -13.8% ± 12.9% for the PTV Dwhen no tracking was used.The study demonstrated a proof of concept for dose-optimised deformable MLC tracking to reduce dosimetric errors for deforming anatomy. The proposed method could enable the safe reduction of treatment margins for multiple independently moving targets in the lung compared to the standard of care.

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