Evaluation of setup and intrafraction motion for surface guided whole‐breast cancer radiotherapy

Abstract Surface Guided Radiotherapy (SGRT) is a relatively new technique for positioning patients and for monitoring patient movement during treatment. SGRT is completely non‐invasive since it uses visible light for determining the position of the patient surface. A reduction in daily imaging for patient setup is possible if the accuracy of SGRT is comparable to imaging. It allows for monitoring of intrafraction motion and the radiation beam can be held beyond a certain threshold resulting in a more accurate irradiation. The purpose of this study was to investigate setup uncertainty and the intrafraction motion in non‐gated whole breast cancer radiotherapy treatment using an integrated implementation of AlignRT (OSMS) system as SGRT. In initial setup, SGRT was compared to three‐point setup using tattoos on the patient and orthogonal kV imaging. For the investigation of intrafraction motion, OSMS monitored the patient with six degrees of freedom during treatment. Using three‐point setup resulted in a setup root‐mean‐square error from the isocenter of 5.4 mm. This was improved to 4.2 mm using OSMS. For the translational directions, OSMS showed improvements in the lateral direction (P = 0.0009, Wilcoxon rank‐sum), but for the longitudinal direction and rotation it was not possible to show improvements (P = 0.96 and P = 0.46, respectively). The vertical direction proved more accurate for three‐point setup than OSMS (P = 0.000004). Intrafraction motion was very limited with a translational median of 1.1 mm from the isocenter. While OSMS showed marked improvements over laser and tattoo setup, the system did not prove accurate enough to replace the daily orthogonal kV images aligned to bony anatomy.

[1]  E. Yu,et al.  Evaluation of Intra- and Inter-fraction Motion in Breast Radiotherapy Using Electronic Portal Cine Imaging , 2004, Technology in cancer research & treatment.

[2]  Jan-Jakob Sonke,et al.  Accuracy evaluation of a 3-dimensional surface imaging system for guidance in deep-inspiration breath-hold radiation therapy. , 2013, International journal of radiation oncology, biology, physics.

[3]  R. Owen,et al.  Quantifying intra- and inter-fractional motion in breast radiotherapy , 2014, Journal of medical radiation sciences.

[4]  C. Belka,et al.  Real-time intra-fraction motion management in breast cancer radiotherapy: analysis of 2028 treatment sessions , 2018, Radiation Oncology.

[5]  Ana Cravo Sá,et al.  Radiotherapy setup displacements in breast cancer patients: 3D surface imaging experience. , 2018, Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology.

[6]  Todd Pawlicki,et al.  The Role of Optical Surface Imaging Systems in Radiation Therapy. , 2018, Seminars in radiation oncology.

[7]  P. Kellokumpu-Lehtinen,et al.  Estimation of optimal matching position for orthogonal kV setup images and minimal setup margins in radiotherapy of whole breast and lymph node areas. , 2014, Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology.

[8]  C. Belka,et al.  Evaluation of daily patient positioning for radiotherapy with a commercial 3D surface-imaging system (Catalyst™) , 2016, Radiation Oncology.

[9]  Maija Rossi,et al.  Dosimetric effects of anatomical deformations and positioning errors in VMAT breast radiotherapy , 2018, Journal of applied clinical medical physics.

[10]  Todd Pawlicki,et al.  Evaluation of a surface imaging system's isocenter calibration methods , 2017, Journal of applied clinical medical physics.

[11]  D. Wiant,et al.  Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients , 2014, Journal of applied clinical medical physics.

[12]  N. Kirby,et al.  Comparison of initial patient setup accuracy between surface imaging and three point localization: A retrospective analysis , 2017, Journal of applied clinical medical physics.

[13]  Darren Kahler,et al.  Characterization of a real-time surface image-guided stereotactic positioning system. , 2010, Medical physics.