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Effects of Institutional Experience on Plan Quality in Stereotactic Radiotherapy Using HyperArc for Brain Metastases
Sayaka Kihara1,2, Shingo Ohira3,4, Naoyuki Kanayama3
1Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan; sayaka.kihara@oici.jp.
In Vivo (Athens, Greece)
|December 31, 2024
Summary
Institutional experience significantly improved HyperArc (HA) stereotactic radiotherapy (SRT) plan quality for brain metastases. Later treatment groups showed better gross tumor volume (GTV) doses and brain sparing, indicating accumulated expertise enhances automated planning outcomes.
Area of Science:
- Radiation Oncology
- Medical Physics
- Neurosurgery
Background:
- HyperArc (HA) is an automated technique for single-isocenter brain stereotactic radiotherapy (SRT).
- Planner expertise may influence dosimetric outcomes in automated radiotherapy planning.
- Assessing institutional experience is crucial for optimizing HA-SRT quality.
Purpose of the Study:
- To evaluate the impact of institutional experience on HA-SRT plan quality.
- To compare dosimetric outcomes for single and multiple brain metastases treated with HA-SRT.
- To determine if accumulated experience improves treatment efficacy and safety.
Main Methods:
- Retrospective analysis of 20 patients with single metastases and 40 with multiple metastases treated with HA-SRT.
- Patients were divided into earlier (2020-2021/2020-2022) and later (2022-2024) treatment groups.
- Key dosimetric parameters including GTV doses, normal brain volumes, HI, GI, and MU were compared using linear regression.
Main Results:
- The later treatment group demonstrated significantly higher D98% and Dmean for GTV in both single and multiple metastases.
- Normal brain V25Gy, V30Gy, and GI mean values remained comparable between groups.
- Mean HI and total MU significantly increased in the later group, with significant interaction between PTV volume and treatment era.
Conclusions:
- Accumulated institutional experience led to enhanced dosimetric outcomes in HA-SRT.
- Improved GTV coverage and brain dose sparing were observed with increased experience.
- Institutional learning is vital for maximizing plan quality in automated SRT techniques like HyperArc.

