PURPOSE: To investigate the applicability of 3-dimensional (3D) surface imaging for image guidance in deep-inspiration breath-hold radiation therapy (DIBH-RT) for patients with left-sided breast cancer. For this purpose, setup data based on captured 3D surfaces was compared with setup data based on cone beam computed tomography (CBCT). METHODS AND MATERIALS: Twenty patients treated with DIBH-RT after breast-conserving surgery (BCS) were included. Before the start of treatment, each patient underwent a breath-hold CT scan for planning purposes. During treatment, dose delivery was preceded by setup verification using CBCT of the left breast. 3D surfaces were captured by a surface imaging system concurrently with the CBCT scan. Retrospectively, surface registrations were performed for CBCT to CT and for a captured 3D surface to CT. The resulting setup errors were compared with linear regression analysis. For the differences between setup errors, group mean, systematic error, random error, and 95% limits of agreement were calculated. Furthermore, receiver operating characteristic (ROC) analysis was performed. RESULTS: Good correlation between setup errors was found: R(2)=0.70, 0.90, 0.82 in left-right, craniocaudal, and anterior-posterior directions, respectively. Systematic errors were ≤0.17 cm in all directions. Random errors were ≤0.15 cm. The limits of agreement were -0.34-0.48, -0.42-0.39, and -0.52-0.23 cm in left-right, craniocaudal, and anterior-posterior directions, respectively. ROC analysis showed that a threshold between 0.4 and 0.8 cm corresponds to promising true positive rates (0.78-0.95) and false positive rates (0.12-0.28). CONCLUSIONS: The results support the application of 3D surface imaging for image guidance in DIBH-RT after BCS.
PURPOSE: To investigate the applicability of 3-dimensional (3D) surface imaging for image guidance in deep-inspiration breath-hold radiation therapy (DIBH-RT) for patients with left-sided breast cancer. For this purpose, setup data based on captured 3D surfaces was compared with setup data based on cone beam computed tomography (CBCT). METHODS AND MATERIALS: Twenty patients treated with DIBH-RT after breast-conserving surgery (BCS) were included. Before the start of treatment, each patient underwent a breath-hold CT scan for planning purposes. During treatment, dose delivery was preceded by setup verification using CBCT of the left breast. 3D surfaces were captured by a surface imaging system concurrently with the CBCT scan. Retrospectively, surface registrations were performed for CBCT to CT and for a captured 3D surface to CT. The resulting setup errors were compared with linear regression analysis. For the differences between setup errors, group mean, systematic error, random error, and 95% limits of agreement were calculated. Furthermore, receiver operating characteristic (ROC) analysis was performed. RESULTS: Good correlation between setup errors was found: R(2)=0.70, 0.90, 0.82 in left-right, craniocaudal, and anterior-posterior directions, respectively. Systematic errors were ≤0.17 cm in all directions. Random errors were ≤0.15 cm. The limits of agreement were -0.34-0.48, -0.42-0.39, and -0.52-0.23 cm in left-right, craniocaudal, and anterior-posterior directions, respectively. ROC analysis showed that a threshold between 0.4 and 0.8 cm corresponds to promising true positive rates (0.78-0.95) and false positive rates (0.12-0.28). CONCLUSIONS: The results support the application of 3D surface imaging for image guidance in DIBH-RT after BCS.
Authors: Harriet Eldredge-Hindy; Virginia Lockamy; Albert Crawford; Virginia Nettleton; Maria Werner-Wasik; Joshua Siglin; Nicole L Simone; Kulbir Sidhu; Pramila R Anne Journal: Pract Radiat Oncol Date: 2015 Jan-Feb
Authors: Christopher Jensen; Jaime Urribarri; Daniel Cail; Joerg Rottmann; Pankaj Mishra; Tatiana Lingos; Thomas Niedermayr; Ross Berbeco Journal: Med Phys Date: 2014-02 Impact factor: 4.071
Authors: Tianshun Miao; Heather Petroccia; Yunhe Xie; Michael Jermyn; Maxine Perroni-Scharf; Namit Kapoor; James M Mahoney; Timothy C Zhu; Petr Bruza; Benjamin B Williams; David J Gladstone; Brian W Pogue Journal: J Med Imaging (Bellingham) Date: 2020-06-03