Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets. Issue 10 (30th September 2020)

• Record Type: Journal Article
• Authors: Thengumpallil, Sheeba; Racine, Damien; Germond, Jean‐François; Péguret, Nicolas; Bourhis, Jean; Bochud, François; Moeckli, Raphaël
• Is Part Of: Journal of applied clinical medical physics. Volume 21:Issue 10(2020)
• Page Start: 170
• Page End: 178
• Publication Date: 2020-09-30
• Subjects: 4D CBCT -- 4D CT -- breathing motion -- bootstrap -- margins; Medical physics -- Periodicals; Clinical medicine -- Periodicals; Health Physics; Clinical Medicine; Electronic journals; Periodicals; Periodicals; Fulltext; Internet Resources; 610.153
• DOI: 10.1002/acm2.13034
• Languages: English
• ISSNs: 1526-9914

Abstract

Abstract: Purpose: To investigate the impact of respiratory motion in the treatment margins for lung SBRT frameless treatments and to validate our treatment margins using 4D CBCT data analysis. Methods: Two hundred and twenty nine fractions with early stage NSCLC were retrospectively analyzed. All patients were treated in frameless and free breathing conditions. The treatment margins were calculated according to van Herk equation in Mid‐Ventilation. For each fraction, three 4D CBCT scans, pre‐ and postcorrection, and posttreatment, were acquired to assess target baseline shift, target localization accuracy and intra‐fraction motion errors. A bootstrap analysis was performed to assess the minimum number of patients required to define treatment margins. Results: The retrospectively calculated target‐baseline shift, target localization accuracy and intra‐fraction motion errors agreed with the literature. The best tailored margins to our cohort of patients were retrospectively computed and resulted in agreement with already published data. The bootstrap analysis showed that fifteen patients were enough to assess treatment margins. Conclusions: The treatment margins applied to our patient's cohort resulted in good agreement with the retrospectively calculated margins based on 4D CBCT data. Moreover, the bootstrap analysis revealed to be a promising method to verify the reliability of the applied treatment margins for safe lung SBRT delivery.