PURPOSE: To provide quantitative information on the image registration differences from multiple systems for image-guided radiotherapy (IGRT) credentialing and margin reduction in clinical trials. METHODS AND MATERIALS: Images and IGRT shift results from three different treatment systems (Tomotherapy Hi-Art, Elekta Synergy, Varian Trilogy) have been sent from various institutions to the Image-Guided Therapy QA Center (ITC) for evaluation for the Radiation Therapy Oncology Group (RTOG) trials. Nine patient datasets (five head-and-neck and four prostate) were included in the comparison, with each patient having 1-4 daily individual IGRT studies. In all cases, daily shifts were re-calculated by re-registration of the planning CT with the daily IGRT data using three independent software systems (MIMvista, FocalSim, VelocityAI). Automatic fusion was used in all calculations. The results were compared with those submitted from institutions. Similar regions of interest (ROIs) and same initial positions were used in registrations for inter-system comparison. Different slice spacings for CBCT sampling and different ROIs for registration were used in some cases to observe the variation of registration due to these factors. RESULTS: For the 54 comparisons with head-and-neck datasets, the absolute values of differences of the registration results between different systems were 2.6±2.1 mm (mean±SD; range 0.1-8.6 mm, left-right [LR]), 1.7±1.3 mm (0.0-4.9 mm, superior-inferior [SI]), and 1.8±1.1 mm (0.1-4.0 mm, anterior-posterior [AP]). For the 66 comparisons in prostate cases, the differences were 1.1±1.0 mm (0.0-4.6 mm, LR), 2.1±1.7 mm (0.0-6.6 mm, SI), and 2.0±1.8 mm (0.1-6.9 mm, AP). The differences caused by the slice spacing variation were relatively small, and the different ROI selections in FocalSim and MIMvista also had limited impact. CONCLUSION: The extent of differences was reported when different systems were used for image registration. Careful examination and quality assurance of the image registration process are crucial before considering margin reduction using IGRT in clinical trials.
PURPOSE: To provide quantitative information on the image registration differences from multiple systems for image-guided radiotherapy (IGRT) credentialing and margin reduction in clinical trials. METHODS AND MATERIALS: Images and IGRT shift results from three different treatment systems (Tomotherapy Hi-Art, Elekta Synergy, Varian Trilogy) have been sent from various institutions to the Image-Guided Therapy QA Center (ITC) for evaluation for the Radiation Therapy Oncology Group (RTOG) trials. Nine patient datasets (five head-and-neck and four prostate) were included in the comparison, with each patient having 1-4 daily individual IGRT studies. In all cases, daily shifts were re-calculated by re-registration of the planning CT with the daily IGRT data using three independent software systems (MIMvista, FocalSim, VelocityAI). Automatic fusion was used in all calculations. The results were compared with those submitted from institutions. Similar regions of interest (ROIs) and same initial positions were used in registrations for inter-system comparison. Different slice spacings for CBCT sampling and different ROIs for registration were used in some cases to observe the variation of registration due to these factors. RESULTS: For the 54 comparisons with head-and-neck datasets, the absolute values of differences of the registration results between different systems were 2.6±2.1 mm (mean±SD; range 0.1-8.6 mm, left-right [LR]), 1.7±1.3 mm (0.0-4.9 mm, superior-inferior [SI]), and 1.8±1.1 mm (0.1-4.0 mm, anterior-posterior [AP]). For the 66 comparisons in prostate cases, the differences were 1.1±1.0 mm (0.0-4.6 mm, LR), 2.1±1.7 mm (0.0-6.6 mm, SI), and 2.0±1.8 mm (0.1-6.9 mm, AP). The differences caused by the slice spacing variation were relatively small, and the different ROI selections in FocalSim and MIMvista also had limited impact. CONCLUSION: The extent of differences was reported when different systems were used for image registration. Careful examination and quality assurance of the image registration process are crucial before considering margin reduction using IGRT in clinical trials.
Authors: Michel Ghilezan; Di Yan; Jian Liang; David Jaffray; John Wong; Alvaro Martinez Journal: Int J Radiat Oncol Biol Phys Date: 2004-12-01 Impact factor: 7.038
Authors: Jennifer C O'Daniel; Lei Dong; Lifei Zhang; Renaud de Crevoisier; He Wang; Andrew K Lee; Rex Cheung; Susan L Tucker; Rajat J Kudchadker; Mark D Bonnen; James D Cox; Radhe Mohan; Deborah A Kuban Journal: Int J Radiat Oncol Biol Phys Date: 2006-11-01 Impact factor: 7.038
Authors: Daniel Létourneau; Alvaro A Martinez; David Lockman; Di Yan; Carlos Vargas; Giovanni Ivaldi; John Wong Journal: Int J Radiat Oncol Biol Phys Date: 2005-07-15 Impact factor: 7.038
Authors: Inga S Grills; Geoffrey Hugo; Larry L Kestin; Ana Paula Galerani; K Kenneth Chao; Jennifer Wloch; Di Yan Journal: Int J Radiat Oncol Biol Phys Date: 2007-10-29 Impact factor: 7.038
Authors: Heng Li; X Ronald Zhu; Lifei Zhang; Lei Dong; Sam Tung; Anesa Ahamad; K S Clifford Chao; William H Morrison; David I Rosenthal; David L Schwartz; Radhe Mohan; Adam S Garden Journal: Int J Radiat Oncol Biol Phys Date: 2008-04-18 Impact factor: 7.038
Authors: Abdallah S R Mohamed; Manee-Naad Ruangskul; Musaddiq J Awan; Charles A Baron; Jayashree Kalpathy-Cramer; Richard Castillo; Edward Castillo; Thomas M Guerrero; Esengul Kocak-Uzel; Jinzhong Yang; Laurence E Court; Michael E Kantor; G Brandon Gunn; Rivka R Colen; Steven J Frank; Adam S Garden; David I Rosenthal; Clifton D Fuller Journal: Radiology Date: 2014-11-07 Impact factor: 11.105