Sheen Chaebeom, Lee Sunghyun, Kim Bitbyeol, Son Jaeman, Kim Kyungsu, Jin Hyeongmin
Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (Republic of).
Project Group of the Gijang Heavy Ion Medical Accelerator, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (Republic of).
Strahlenther Onkol. 2025 Aug 21. doi: 10.1007/s00066-025-02450-8.
Dose variation due to changes in bowel air poses significant challenges for carbon radiotherapy in pancreatic cancer. This retrospective study evaluated a density-override optimization technique to mitigate dosimetric uncertainties caused by bowel air changes.
Planning CT and cone-beam CT data from 8 patients with locally advanced pancreatic cancer undergoing stereotactic ablative radiotherapy were analyzed. Treatment simulations used a dose of 55.2 GyE in 12 fractions with a four-field setup (anterior, lateral, posterior, posterior oblique). Four density-override patterns were compared: pattern 0 (no override), pattern 1 (replacing bowel gas with water), pattern 2 (replacing the entire bowel with mean bowel HU), and pattern 3 (replacing bowel gas with mean bowel HU). Dose evaluations included fraction-wise and accumulated dose analyses, focusing on target coverage, homogeneity index, and organs at risk doses.
Pattern 2 achieved the largest clinical tumor volume coverage and the fewest fractions with > 5% coverage loss for the anterior beam, followed by pattern 3. However, pattern 2 demonstrated poorer homogeneity for the lateral beam compared to patterns 1 and 3 and a higher gastrointestinal (GI) dose for the anterior beam.
This study evaluated the importance of density overrides to address bowel air variations. For patients where a more uniform dose is desirable or whose tumor is adjacent to the GI tract, a pattern 3 density-override should be considered.
肠道气体变化导致的剂量变化给胰腺癌的碳放疗带来了重大挑战。这项回顾性研究评估了一种密度覆盖优化技术,以减轻肠道气体变化引起的剂量学不确定性。
分析了8例接受立体定向消融放疗的局部晚期胰腺癌患者的计划CT和锥形束CT数据。治疗模拟采用12次分割、剂量为55.2 GyE的四野设置(前野、侧野、后野、后斜野)。比较了四种密度覆盖模式:模式0(无覆盖)、模式1(用水替代肠道气体)、模式2(用平均肠道HU值替代整个肠道)和模式3(用平均肠道HU值替代肠道气体)。剂量评估包括分次剂量分析和累积剂量分析,重点关注靶区覆盖、均匀性指数和危及器官剂量。
模式2实现了最大的临床肿瘤体积覆盖,前野覆盖损失>5%的分次最少,其次是模式3。然而,与模式1和模式3相比,模式2的侧野均匀性较差,前野的胃肠道(GI)剂量较高。
本研究评估了密度覆盖对解决肠道气体变化的重要性。对于希望获得更均匀剂量或肿瘤邻近胃肠道的患者,应考虑模式3密度覆盖。