Kihara Sayaka, Ohira Shingo, Kanayama Naoyuki, Ikawa Toshiki, Inui Shoki, Isono Masaru, Nitta Yuya, Ueda Yoshihiro, Nishio Teiji, Konishi Koji
Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan;
Medical Physics Laboratory, Division of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.
In Vivo. 2025 Jan-Feb;39(1):210-217. doi: 10.21873/invivo.13819.
BACKGROUND/AIM: HyperArc (HA) is an automated planning technique enabling single-isocenter brain stereotactic radiotherapy (SRT); however, dosimetric outcomes may be influenced by the planner's expertise. This study aimed to assess the impact of institutional experience on the plan quality of HA-SRT for both single and multiple brain metastases.
Twenty patients who underwent HA-SRT for single metastasis between 2020 and 2021 comprised the earlier group, while those treated between 2022 and 2024 constituted the later group. For multiple metastases, 40 patients who received HA-SRT from 2020-2024 were divided into earlier and later treatment groups. Dosimetric parameters including gross tumor volume (GTV) doses (D and Dmean), volumes of the normal brain (Brain-GTV V and V), homogeneity index (HI), gradient index (GI), and total monitor unit (MU) were compared. A linear regression model was used to evaluate the effects of planning target volume (PTV) on volumes of normal brain via interaction between PTV volume and treatment era group (earlier vs. later).
The later group exhibited significantly higher D and D values for both single and multiple metastases, while V and V and GI mean values were comparable. Consequently, mean HI and total MU values increased significantly. Both single and multiple metastases showed significant interaction between PTV volume and treatment era group.
Enhanced dosimetric outcomes in the later group suggested that accumulated experience contributed to improve GTV and brain dose in HA SRT. Institutional experience is important to improve the plan quality for SRT even with automatic planning such as HA.
背景/目的:HyperArc(HA)是一种自动化的计划技术,可实现单中心脑立体定向放射治疗(SRT);然而,剂量学结果可能会受到计划者专业知识的影响。本研究旨在评估机构经验对单发性和多发性脑转移瘤HA-SRT计划质量的影响。
2020年至2021年间接受HA-SRT治疗单发性转移瘤的20例患者组成早期组,而2022年至2024年间接受治疗的患者组成后期组。对于多发性转移瘤,将2020 - 2024年间接受HA-SRT治疗的40例患者分为早期和后期治疗组。比较剂量学参数,包括大体肿瘤体积(GTV)剂量(D和Dmean)、正常脑体积(Brain-GTV V和V)、均匀性指数(HI)、梯度指数(GI)和总监测单位(MU)。使用线性回归模型通过计划靶体积(PTV)与治疗时代组(早期与后期)之间的相互作用来评估PTV对正常脑体积的影响。
后期组在单发性和多发性转移瘤的D和D值均显著更高,而V和V以及GI平均值相当。因此,平均HI和总MU值显著增加。单发性和多发性转移瘤在PTV体积与治疗时代组之间均显示出显著的相互作用。
后期组剂量学结果的改善表明,积累的经验有助于提高HA SRT中的GTV和脑剂量。即使采用如HA这样的自动计划,机构经验对于提高SRT的计划质量也很重要。