PURPOSE: This work evaluates an online adaptive (OA) workflow for head-and-neck (H&N) intensity-modulated proton therapy (IMPT) and compares it with full offline replanning (FOR) in patients with large anatomical changes. METHODS: IMPT treatment plans are created retrospectively for a cohort of eight H&N cancer patients that previously required replanning during the course of treatment due to large anatomical changes. Daily cone-beam CTs (CBCT) are acquired and corrected for scatter, resulting in 253 analyzed fractions. To simulate the FOR workflow, nominal plans are created on the planning-CT and delivered until a repeated-CT is acquired; at this point, a new plan is created on the repeated-CT. To simulate the OA workflow, nominal plans are created on the planning-CT and adapted at each fraction using a simple beamlet weight-tuning technique. Dose distributions are calculated on the CBCTs with Monte Carlo for both delivery methods. The total treatment dose is accumulated on the planning-CT. RESULTS: Daily OA improved target coverage compared to FOR despite using smaller target margins. In the high-risk CTV, the median D(98) degradation was 1.1 % and 2.1 % for OA and FOR, respectively. In the low-risk CTV, the same metrics yield 1.3 % and 5.2 % for OA and FOR, respectively. Smaller setup margins of OA reduced the dose to all OARs, which was most relevant for the parotid glands. CONCLUSION: Daily OA can maintain prescription doses and constraints over the course of fractionated treatment, even in cases of large anatomical changes, reducing the necessity for manual replanning in H&N IMPT.
Large anatomical changes in head-and-neck cancers - A dosimetric comparison of online and offline adaptive proton therapy.
头颈部癌症的大型解剖结构变化——在线和离线自适应质子治疗的剂量学比较
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作者:BobiÄ Mislav, Lalonde Arthur, Nesteruk Konrad P, Lee Hoyeon, Nenoff Lena, Gorissen Bram L, Bertolet Alejandro, Busse Paul M, Chan Annie W, Winey Brian A, Sharp Gregory C, Verburg Joost M, Lomax Antony J, Paganetti Harald
| 期刊: | Clinical and Translational Radiation Oncology | 影响因子: | 2.700 |
| 时间: | 2023 | 起止号: | 2023 Mar 31; 40:100625 |
| doi: | 10.1016/j.ctro.2023.100625 | 研究方向: | 肿瘤 |
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