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Title: SU-E-T-50: A Multi-Institutional Study of Independent Dose Verification Software Program for Lung SBRT

Abstract

Purpose: The accuracy of dose distribution depends on treatment planning system especially in heterogeneity-region. The tolerance level (TL) of the secondary check using the independent dose verification may be variable in lung SBRT plans. We conducted a multi-institutional study to evaluate the tolerance level of lung SBRT plans shown in the AAPM TG114. Methods: Five institutes in Japan participated in this study. All of the institutes used a same independent dose verification software program (Simple MU Analysis: SMU, Triangle Product, Ishikawa, JP), which is Clarkson-based and CT images were used to compute radiological path length. Analytical Anisotropic Algorithm (AAA), Pencil Beam Convolution with modified Batho-method (PBC-B) and Adaptive Convolve (AC) were used for lung SBRT planning. A measurement using an ion-chamber was performed in a heterogeneous phantom to compare doses from the three different algorithms and the SMU to the measured dose. In addition to it, a retrospective analysis using clinical lung SBRT plans (547 beams from 77 patients) was conducted to evaluate the confidence limit (CL, Average±2SD) in dose between the three algorithms and the SMU. Results: Compared to the measurement, the AAA showed the larger systematic dose error of 2.9±3.2% than PBC-B and AC. The Clarkson-based SMU showedmore » larger error of 5.8±3.8%. The CLs for clinical plans were 7.7±6.0 % (AAA), 5.3±3.3 % (AC), 5.7±3.4 % (PBC -B), respectively. Conclusion: The TLs from the CLs were evaluated. A Clarkson-based system shows a large systematic variation because of inhomogeneous correction. The AAA showed a significant variation. Thus, we must consider the difference of inhomogeneous correction as well as the dependence of dose calculation engine.« less

Authors:
 [1]; ;  [2];  [3]; ;  [4]; ;  [5];  [6];  [7]
  1. Kanagawa Cancer Center, Yokohama, Kanagawa-prefecture (Japan)
  2. The Cancer Institute Hospital of JFCR, Koutou-ku, Tokyo (Japan)
  3. The National Cancer Center Hospital East, Kashiwa-city, Chiba prefecture (Japan)
  4. Otemae Hospital, Chuou-ku, Osaka-city (Japan)
  5. Sasebo City General Hospital, Sasebo, Nagasaki (Japan)
  6. St Lukes International Hospital, Chuou-ku, Tokyo (Japan)
  7. National Cancer Center Hospital East, Kashiwa, Chiba (Japan)
Publication Date:
OSTI Identifier:
22545181
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 42; Journal Issue: 6; Other Information: (c) 2015 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 61 RADIATION PROTECTION AND DOSIMETRY; ACCURACY; ALGORITHMS; ANISOTROPY; BEAMS; COMPUTER CODES; COMPUTERIZED TOMOGRAPHY; CORRECTIONS; ERRORS; IMAGE PROCESSING; IONIZATION CHAMBERS; LUNGS; PATIENTS; PHANTOMS; PLANNING; RADIATION DOSE DISTRIBUTIONS; RADIATION DOSES; VERIFICATION

Citation Formats

Kawai, D, Takahashi, R, Kamima, T, Baba, H, Yamamoto, T, Kubo, Y, Ishibashi, S, Higuchi, Y, Takahashi, H, and Tachibana, H. SU-E-T-50: A Multi-Institutional Study of Independent Dose Verification Software Program for Lung SBRT. United States: N. p., 2015. Web. doi:10.1118/1.4924411.
Kawai, D, Takahashi, R, Kamima, T, Baba, H, Yamamoto, T, Kubo, Y, Ishibashi, S, Higuchi, Y, Takahashi, H, & Tachibana, H. SU-E-T-50: A Multi-Institutional Study of Independent Dose Verification Software Program for Lung SBRT. United States. doi:10.1118/1.4924411.
Kawai, D, Takahashi, R, Kamima, T, Baba, H, Yamamoto, T, Kubo, Y, Ishibashi, S, Higuchi, Y, Takahashi, H, and Tachibana, H. Mon . "SU-E-T-50: A Multi-Institutional Study of Independent Dose Verification Software Program for Lung SBRT". United States. doi:10.1118/1.4924411.
@article{osti_22545181,
title = {SU-E-T-50: A Multi-Institutional Study of Independent Dose Verification Software Program for Lung SBRT},
author = {Kawai, D and Takahashi, R and Kamima, T and Baba, H and Yamamoto, T and Kubo, Y and Ishibashi, S and Higuchi, Y and Takahashi, H and Tachibana, H},
abstractNote = {Purpose: The accuracy of dose distribution depends on treatment planning system especially in heterogeneity-region. The tolerance level (TL) of the secondary check using the independent dose verification may be variable in lung SBRT plans. We conducted a multi-institutional study to evaluate the tolerance level of lung SBRT plans shown in the AAPM TG114. Methods: Five institutes in Japan participated in this study. All of the institutes used a same independent dose verification software program (Simple MU Analysis: SMU, Triangle Product, Ishikawa, JP), which is Clarkson-based and CT images were used to compute radiological path length. Analytical Anisotropic Algorithm (AAA), Pencil Beam Convolution with modified Batho-method (PBC-B) and Adaptive Convolve (AC) were used for lung SBRT planning. A measurement using an ion-chamber was performed in a heterogeneous phantom to compare doses from the three different algorithms and the SMU to the measured dose. In addition to it, a retrospective analysis using clinical lung SBRT plans (547 beams from 77 patients) was conducted to evaluate the confidence limit (CL, Average±2SD) in dose between the three algorithms and the SMU. Results: Compared to the measurement, the AAA showed the larger systematic dose error of 2.9±3.2% than PBC-B and AC. The Clarkson-based SMU showed larger error of 5.8±3.8%. The CLs for clinical plans were 7.7±6.0 % (AAA), 5.3±3.3 % (AC), 5.7±3.4 % (PBC -B), respectively. Conclusion: The TLs from the CLs were evaluated. A Clarkson-based system shows a large systematic variation because of inhomogeneous correction. The AAA showed a significant variation. Thus, we must consider the difference of inhomogeneous correction as well as the dependence of dose calculation engine.},
doi = {10.1118/1.4924411},
journal = {Medical Physics},
number = 6,
volume = 42,
place = {United States},
year = {Mon Jun 15 00:00:00 EDT 2015},
month = {Mon Jun 15 00:00:00 EDT 2015}
}