Rachael Hachadorian1, J Cedar Farwell2, Petr Bruza3, Michael Jermyn4, David J Gladstone5, Brian W Pogue6, Lesley A Jarvis7. 1. Thayer School of Engineering, Dartmouth College, Hanover, United States. Electronic address: Rachael.L.Hachadorian.TH@dartmouth.edu. 2. DoseOptics LLC, Lebanon, United States. 3. Thayer School of Engineering, Dartmouth College, Hanover, United States. 4. Thayer School of Engineering, Dartmouth College, Hanover, United States; DoseOptics LLC, Lebanon, United States. 5. Thayer School of Engineering, Dartmouth College, Hanover, United States; Norris Cotton Cancer Center at Dartmouth Hitchcock Medical Center, Lebanon, United States; Geisel School of Medicine, Dartmouth College, Hanover, United States. 6. Thayer School of Engineering, Dartmouth College, Hanover, United States; DoseOptics LLC, Lebanon, United States; Norris Cotton Cancer Center at Dartmouth Hitchcock Medical Center, Lebanon, United States; Geisel School of Medicine, Dartmouth College, Hanover, United States. 7. Norris Cotton Cancer Center at Dartmouth Hitchcock Medical Center, Lebanon, United States; Geisel School of Medicine, Dartmouth College, Hanover, United States. Electronic address: Lesley.A.Jarvis@Hitchcock.org.
Abstract
PURPOSE: In mono-isocentric radiation therapy treatment plans designed to treat the whole breast and supraclavicular lymph nodes, the fields meet at isocenter, forming the match line. Insufficient coverage at the match line can lead to recurrence, and overlap over weeks of treatment can lead to increased risk of healthy tissue toxicity. Cherenkov imaging was used to assess the accuracy of delivery at the match line and identify potential incidents during patient treatments. METHODS AND MATERIALS: A controlled calibration was constructed from the deconvolved Cherenkov images from the delivery of a modified patient treatment plan to an anthropomorphic phantom with introduced separation and overlap. The trend from this calibration was then used to evaluate the field match line for accuracy and inter-fraction consistency for two patients. RESULTS: The intersection point between matching field profiles was directly correlated to the distance (gap/overlap) between the fields (anthropomorphic phantom R2 = 0.994 "breath hold" and R2 = 0.990 "free breathing"). The profile intersection points from two patients' imaging sessions yielded an average of +1.40 mm offset (overlap) and -1.32 mm offset (gap), thereby introducing roughly a 25.0% over-dose and a -23.6% under-dose (R2 = 0.994). CONCLUSIONS: This study shows that field match regions can be detected and quantified by taking deconvolved Cherenkov images and using their product image to create steep intensity gradients, causing match lines to stand out. These regions can then be quantitatively translated into a dose consequence. This approach offers a high sensitivity detection method which can quantify match line variability and errors in vivo.
PURPOSE: In mono-isocentric radiation therapy treatment plans designed to treat the whole breast and supraclavicular lymph nodes, the fields meet at isocenter, forming the match line. Insufficient coverage at the match line can lead to recurrence, and overlap over weeks of treatment can lead to increased risk of healthy tissue toxicity. Cherenkov imaging was used to assess the accuracy of delivery at the match line and identify potential incidents during patient treatments. METHODS AND MATERIALS: A controlled calibration was constructed from the deconvolved Cherenkov images from the delivery of a modified patient treatment plan to an anthropomorphic phantom with introduced separation and overlap. The trend from this calibration was then used to evaluate the field match line for accuracy and inter-fraction consistency for two patients. RESULTS: The intersection point between matching field profiles was directly correlated to the distance (gap/overlap) between the fields (anthropomorphic phantom R2 = 0.994 "breath hold" and R2 = 0.990 "free breathing"). The profile intersection points from two patients' imaging sessions yielded an average of +1.40 mm offset (overlap) and -1.32 mm offset (gap), thereby introducing roughly a 25.0% over-dose and a -23.6% under-dose (R2 = 0.994). CONCLUSIONS: This study shows that field match regions can be detected and quantified by taking deconvolved Cherenkov images and using their product image to create steep intensity gradients, causing match lines to stand out. These regions can then be quantitatively translated into a dose consequence. This approach offers a high sensitivity detection method which can quantify match line variability and errors in vivo.
Authors: Eric E Klein; Joseph Hanley; John Bayouth; Fang-Fang Yin; William Simon; Sean Dresser; Christopher Serago; Francisco Aguirre; Lijun Ma; Bijan Arjomandy; Chihray Liu; Carlos Sandin; Todd Holmes Journal: Med Phys Date: 2009-09 Impact factor: 4.071
Authors: Moyed Miften; Arthur Olch; Dimitris Mihailidis; Jean Moran; Todd Pawlicki; Andrea Molineu; Harold Li; Krishni Wijesooriya; Jie Shi; Ping Xia; Nikos Papanikolaou; Daniel A Low Journal: Med Phys Date: 2018-03-23 Impact factor: 4.071
Authors: Muhammad Ramish Ashraf; Petr Bruza; Venkat Krishnaswamy; David J Gladstone; Brian W Pogue Journal: Med Phys Date: 2018-12-14 Impact factor: 4.071
Authors: Jun Duan; Sui Shen; Sharon A Spencer; Raef S Ahmed; Richard A Popple; Sung-Joon Ye; Ivan A Brezovich Journal: Int J Radiat Oncol Biol Phys Date: 2004-11-01 Impact factor: 7.038
Authors: Lesley A Jarvis; Rachael L Hachadorian; Michael Jermyn; Petr Bruza; Daniel A Alexander; Irwin I Tendler; Benjamin B Williams; David J Gladstone; Philip E Schaner; Bassem I Zaki; Brian W Pogue Journal: Int J Radiat Oncol Biol Phys Date: 2020-11-20 Impact factor: 8.013