Assessment of the Effectiveness of a Visual Coaching Device Combined with Auditory Instructions on Reproducibility and Stability in Deep Inspiration Breath-Hold Radiotherapy

评估视觉指导装置结合听觉指导对深吸气屏气放射治疗的重复性和稳定性的有效性

阅读:1

Abstract

Background/Objectives: In left-sided breast cancer radiotherapy, deep inspiration breath-hold (DIBH) reduces radiation dose to the heart; however, its success depends on the patient's ability to maintain reproducible and stable breath-holds. Although visual and auditory guidance systems have been introduced to improve performance, quantitative data on their combined effects remain limited. Methods: We retrospectively analyzed 400 breath-hold sessions in 20 patients undergoing DIBH treatment using synchronized visual and auditory coaching. Real-time respiratory displacement data were used to calculate reproducibility and stability. Temporal trends and correlations between reproducibility and stability were also assessed. Results: The mean reproducibility was 0.51 ± 0.22 mm (range, 0.20-1.10 mm), and the mean stability was 0.77 ± 0.21 mm (range, 0.50-1.16 mm). Both measures showed significant improvement over the course of treatment, indicating a learning effect. Linear regression analysis revealed a significant positive correlation between poorer reproducibility and greater intrafractional instability (R(2) = 0.26, p = 0.021). Daily cone beam computed tomography-based image-guided radiotherapy demonstrated minimal isocenter shifts, confirming consistent patient setup with DIBH. Conclusions: Combined visual and auditory coaching during DIBH yielded low variability in reproducibility and stability, with progressive improvements over time. These findings highlight the ability of multimodal feedback systems to enhance respiratory consistency and support their integration into clinical practice, optimizing treatment precision.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。