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Motion management with phase-adapted 4D-optimization
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DOI：10.1088/0031-9155/55/17/019.png)
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摘要
En 中文
Cancer treatment with ionizing radiation is often compromised by organ motion, in particular for lung cases. Motion uncertainties can significantly degrade an otherwise optimized treatment plan. We present a spatiotemporal optimization method, which takes into account all phases of breathing via the corresponding 4D-CTs and provides a 4D-optimal plan that can be delivered throughout all breathing phases. Monte Carlo dose calculations are employed to warrant for highest dosimetric accuracy, as pertinent to study motion effects in lung. We demonstrate the performance of this optimization method with clinical lung cancer cases and compare the outcomes to conventional gating techniques. We report significant improvements in target coverage and in healthy tissue sparing at a comparable computational expense. Furthermore, we show that the phase-adapted 4D-optimized plans are robust against irregular breathing, as opposed to gating. This technique has the potential to yield a higher delivery efficiency and a decisively shorter delivery time.
Keyword:
DIRECT-APERTURE OPTIMIZATION
MODULATED RADIATION-THERAPY
MONTE-CARLO
IMRT OPTIMIZATION
ROBUST OPTIMIZATION
DOSE CALCULATION
RADIOTHERAPY
UNCERTAINTY
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期刊
IF:
3.4
论文数:
1.4W
被引数:
3.1W
机构
引用论文
Dosimetric impact of motion in free-breathing and gated lung radiotherapy: A 4D Monte Carlo study of intrafraction and interfraction effects.png)
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