16 February 2012 Application of 3D surface imaging in breast cancer radiotherapy
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Abstract
Purpose: Accurate dose delivery in deep-inspiration breath-hold (DIBH) radiotherapy for patients with breast cancer relies on precise treatment setup and monitoring of the depth of the breath hold. This study entailed performance evaluation of a 3D surface imaging system for image guidance in DIBH radiotherapy by comparison with cone-beam computed tomography (CBCT). Materials and Methods: Fifteen patients, treated with DIBH radiotherapy after breast-conserving surgery, were included. The performance of surface imaging was compared to the use of CBCT for setup verification. Retrospectively, breast surface registrations were performed for CBCT to planning CT as well as for a 3D surface, captured concurrently with CBCT, to planning CT. The resulting setup errors were compared with linear regression analysis. For the differences between setup errors, group mean, systematic and random errors were calculated. Furthermore, a residual error after registration (RRE) was assessed for both systems by investigating the root-mean-square distance between the planning CT surface and registered CBCT/captured surface. Results: Good correlation between setup errors was found: R2=0.82, 0.86, 0.82 in left-right, cranio-caudal and anteriorposterior direction, respectively. Systematic and random errors were ≤0.16cm and ≤0.13cm in all directions, respectively. RRE values for surface imaging and CBCT were on average 0.18 versus 0.19cm with a standard deviation of 0.10 and 0.09cm, respectively. Wilcoxon-signed-ranks testing showed that CBCT registrations resulted in higher RRE values than surface imaging registrations (p=0.003). Conclusion: This performance evaluation study shows very promising results
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Tanja Alderliesten, Tanja Alderliesten, Jan-Jakob Sonke, Jan-Jakob Sonke, Anja Betgen, Anja Betgen, Joeri Honnef, Joeri Honnef, Corine van Vliet-Vroegindeweij, Corine van Vliet-Vroegindeweij, Peter Remeijer, Peter Remeijer, } "Application of 3D surface imaging in breast cancer radiotherapy", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83160A (16 February 2012); doi: 10.1117/12.911242; https://doi.org/10.1117/12.911242
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