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Assessment of IGRT variability for lung SBRT
Authors:Bryan Kim  Charles Kirkby  Amy Semaka  Brock Debenham  Trevor Campbell
Institution:1. Radiation Medicine Program, Princess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada;2. Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada;1. Department of Radiology, Fuji City General Hospital, 50 Takashima-cho, Fuji City, Shizuoka 417-8567, Japan;2. Department of Radiological Technology, Faculty of Health Science, Suzuka University of Medical Science, 1001-1 Kishioka, Suzuka City, Mie 510-0293, Japan;3. Department of Radiology, Jikei University School of Medicine, 3-19-18 Nishishimbashi, Minato-ku, Tokyo 105-8461, Japan;1. Laboratoire de Biophysique et Imagerie médicale, Université de Lomé, 01 BP 1515 Lomé 01, Togo;2. Service de Radiologie et Imagerie médicale, CHU Campus de Lomé, 03 BP 30284, Togo;1. GenesisCare Victoria, Ringwood Private Hospital, VIC, Australia;2. Olivia Newton John Cancer and Wellness Centre, Heidelberg, VIC, Australia;3. Maroondah Hospital, Ringwood East, VIC, Australia
Abstract:PurposeThe purpose of this project was to assess factors that may influence variability in the pre-treatment kilovoltage cone beam computed tomography (kV CBCT) image matching process for lung stereotactic body radiation therapy (SBRT).Methods and materialsPre-treatment CBCT and planning CT data sets of previously-treated lung SBRT patients were gathered and anonymized from four radiotherapy centers in Alberta. Eight radiation therapists (RTTs) and four radiation oncologists (ROs) were recruited from the same four cancer centers for image matching. Identical data sets were provided to each user, but the order of image sets was randomized independently for each user to remove any learning bias. Inter-user variabilities were then investigated as functions of various factors, including image origin (source institution/machine), user's institution (local matching protocol), profession (RTT vs. RO), years of experience and image quality (presence/absence of added noise).ResultsVery little variation in image matching between different users was observed. The mean differences from the consensus means for different image sets were less than 1 mm in all directions, and cases that exceeded 3 mm (i.e. clinically significant differences) were extremely rare. Image origin, user's institution, and profession (RTT vs. RO) didn't lead to any meaningful clinical differences, while image quality didn't introduce any statistically significant differences. In addition, no discernible trend was seen between user's experience and deviation from the user mean. Overall, no meaningful differences in inter-user variabilities for the different factors investigated were found in this study.ConclusionsThere appears to be an adequate standardization across the province of Alberta in terms of CBCT image matching process. No clinically significant differences were observed as functions of various factors investigated in this study. Consistency in matching between RTTs and ROs in this study suggests that RTTs do not need systematic RO approval of their lung CBCT match. It should be noted that RTTs at the centers in this study receive comprehensive training in CBCT-based image matching.
Keywords:Radiation therapy  Stereotactic  Cone beam CT  Lung cancer
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