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Yu L, Kairn T, Trapp JV, Crowe SB. Characteristics of inverse gamma histograms. Phys Eng Sci Med 2020; 43:659-664. [PMID: 32462506 DOI: 10.1007/s13246-020-00873-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 04/20/2020] [Indexed: 11/26/2022]
Abstract
This work explores the characteristics of the inverse gamma histogram and its potential use as part of the patient specific quality assurance (PSQA) program for volumetric modulated arc therapy (VMAT). ArcCheck measured dose files and TPS predicted dose files were imported and analysed using the in-house inverse gamma code developed in the Python package. Inverse gamma with fixed distance-to-agreement of 2 mm were calculated for 23 VMAT arcs. Dose difference histograms were plotted for six arbitrarily selected arcs with the 95th and 90th percentile values calculated. Dose difference histograms enabled visualisation of the dose difference distribution information. The 95th and 90th percentile values are equivalent to the dose difference criteria where the gamma pass rate is 95% and 90% respectively. These values can be used as a guide to assess plan acceptability, especially for plans that failed the initial gamma evaluation. The inverse gamma histograms are demonstrated to be a useful tool for plan evaluation in addition to the traditional gamma evaluation method. It contains dose difference or distance-to-agreement distribution information, which could be clinically useful for plan evaluation.
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Affiliation(s)
- Liting Yu
- Royal Brisbane & Women's Hospital, Herston, 4029, Australia.
- Queensland University of Technology, Brisbane, 4000, Australia.
| | - Tanya Kairn
- Royal Brisbane & Women's Hospital, Herston, 4029, Australia
- Queensland University of Technology, Brisbane, 4000, Australia
| | - Jamie V Trapp
- Queensland University of Technology, Brisbane, 4000, Australia
| | - Scott B Crowe
- Royal Brisbane & Women's Hospital, Herston, 4029, Australia
- Queensland University of Technology, Brisbane, 4000, Australia
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2
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A convolution neural network for higher resolution dose prediction in prostate volumetric modulated arc therapy. Phys Med 2020; 72:88-95. [DOI: 10.1016/j.ejmp.2020.03.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 03/21/2020] [Accepted: 03/26/2020] [Indexed: 12/31/2022] Open
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Diamantopoulos S, Platoni K, Patatoukas G, Karaiskos P, Kouloulias V, Efstathopoulos E. Treatment plan verification: A review on the comparison of dose distributions. Phys Med 2019; 67:107-115. [PMID: 31706146 DOI: 10.1016/j.ejmp.2019.10.029] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 10/10/2019] [Accepted: 10/15/2019] [Indexed: 10/25/2022] Open
Abstract
PURPOSE The aim of this review article is to provide a useful reference for dose comparison techniques within the frame of treatment plan verification. Each technique is presented with a general description given along with advantages and disadvantage and the rationale for its development. METHODS The review was conducted in PubMed from 1993 to 2019 including articles referring to the methodology of dose comparison for treatment plan verification. RESULTS The search identified thirty-one dose comparison methods that were categorized according to the number of physical parameters that take into account for dose comparison. CONCLUSIONS Among the available methods for the comparison of two dose distributions, the γ-analysis (gamma analysis) has been widely adopted as the gold standard in verification procedures. However, due to various intrinsic limitations of gamma index, the development of a better metric taking into account both statistical and in clinical parameters is required.
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Affiliation(s)
- Stefanos Diamantopoulos
- 2nd Department of Radiology, University General Hospital "Attikon", National and Kapodistrian, University of Athens, Greece.
| | - Kalliopi Platoni
- 2nd Department of Radiology, University General Hospital "Attikon", National and Kapodistrian, University of Athens, Greece
| | - Georgios Patatoukas
- 2nd Department of Radiology, University General Hospital "Attikon", National and Kapodistrian, University of Athens, Greece
| | - Pantelis Karaiskos
- Medical Physics Laboratory, Medical School, National and Kapodistrian University of Athens, Greece
| | - Vassilis Kouloulias
- 2nd Department of Radiology, University General Hospital "Attikon", National and Kapodistrian, University of Athens, Greece
| | - Efstathios Efstathopoulos
- 2nd Department of Radiology, University General Hospital "Attikon", National and Kapodistrian, University of Athens, Greece
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Kim DS, Kim S, Kang SH, Kim TH, Park SH, Kim KH, Cho MS, Shin DS, Noh YY, Chung JB, Suh TS. To propose adding index of achievement (IOA) to IMRT QA process. Radiat Oncol 2018; 13:112. [PMID: 29903025 PMCID: PMC6003087 DOI: 10.1186/s13014-018-1055-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 05/28/2018] [Indexed: 11/28/2022] Open
Abstract
Background In intensity modulated radiation therapy (IMRT) quality assurance (QA), evaluation of QA result using a pass/non-pass strategy under an acceptance criterion often suffers from lack of information on how good the plan is in absolute manner. In this study, we suggested adding an index system, previously developed for dose painting technique, to current IMRT QA process for better understanding of QA result. Methods The index system consists of three indices, index of achievement (IOA), index of hotness (IOH) and index of coldness (IOC). As indicated by its name, IOA does measure the level of agreement. IOH and IOC, on the other hand, measure the magnitude of overdose and underdose, respectively. A systematic analysis was performed with three 1-dimensional hypothetical dose distributions to investigate the characteristics of the index system. The feasibility of the system was also assessed with clinical volumetric modulated arc therapy (VMAT) QA cases from 8 head & neck and 5 prostate patients. In both simulation studies, certain amount of errors was intentionally induced to each dose distribution. Furthermore, we applied the proposed system to compare calculated with actual measured data for a total of 60 patients (30 head & neck and 30 prostate cases). QA analysis was made using both the index system and gamma method, and results were compared. Results While the gamma evaluation showed limited sensitivity in evaluating QA result depending on the level of tolerance criteria used, the proposed indices tended to better distinguish plans in terms of the amount of errors. Hotness and coldness of prescribed dose in the plan could be evaluated quantitatively by the indices. Conclusions The proposed index system provides information with which IMRT QA result would be better evaluated, especially when gamma pass rates are identical or similar among multiple plans. In addition, the independency of the index system on acceptance criteria would help making clear communications among readers of published articles and researchers in multi-institutional studies.
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Affiliation(s)
- Dong-Su Kim
- Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, 222. Banpo-daero, Seocho-gu, Seoul, 06591, South Korea
| | - Siyong Kim
- Department of Radiation Oncology, Virginia Commonwealth University, 401 College Street, Richmond, VA, 23298-0058, USA.
| | - Seong-Hee Kang
- Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, 222. Banpo-daero, Seocho-gu, Seoul, 06591, South Korea.,Department of Radiation Oncology, Seoul National University Bundang Hospital, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea
| | - Tae-Ho Kim
- Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, 222. Banpo-daero, Seocho-gu, Seoul, 06591, South Korea
| | - So-Hyun Park
- Department of Radiation Oncology, Jeju National University Hospital, 15, Aran 13-gil, Jeju-si, Jeju-do, 63241, South Korea
| | - Kyeong-Hyeon Kim
- Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, 222. Banpo-daero, Seocho-gu, Seoul, 06591, South Korea
| | - Min-Seok Cho
- Department of Radiation Oncology, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Dong-Seok Shin
- Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, 222. Banpo-daero, Seocho-gu, Seoul, 06591, South Korea
| | - Yu-Yun Noh
- Department of Radiation Oncology, Eulji University Hospital, 95, Dunsanseo-ro, Seo-gu, Daejeon, 35233, South Korea
| | - Jin-Beom Chung
- Department of Radiation Oncology, Seoul National University Bundang Hospital, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea
| | - Tae Suk Suh
- Department of Biomedical Engineering and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, 222. Banpo-daero, Seocho-gu, Seoul, 06591, South Korea.
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Sumida I, Yamaguchi H, Das IJ, Kizaki H, Aboshi K, Tsujii M, Yamada Y, Tamari K, Seo Y, Isohashi F, Yoshioka Y, Ogawa K. Organ-specific modulation complexity score for the evaluation of dose delivery. JOURNAL OF RADIATION RESEARCH 2017; 58:675-684. [PMID: 28199706 PMCID: PMC5737647 DOI: 10.1093/jrr/rrw129] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 12/18/2016] [Indexed: 05/04/2023]
Abstract
The purpose of this study was to correlate the modulation complexity score (MCS) with organ location and to predict potential dose errors for organs before beam delivery for intensity-modulated radiation therapy (IMRT) dosimetry. Sixteen head and neck cancer patients treated with IMRT were selected. Distribution of the relative dose error on each beam was performed using forward projection to the planned dose to compute the predicted dose after doing per-beam quality assurance. Original organ-specific modulation complexity score (oMCS) was created based on a modified MLC, which depended on organ location. First, MCS was calculated based on the change in leaf position between adjacent MLC leaves. Second, the segment edge map (SEM) calculated from the intensity map for each beam was applied to the calculation volume. The oMCS with segment edge (oMCSedge) was derived from the product of oMCS and SEM. The correlation between the dose errors (planned and predicted) and oMCSedge values was evaluated for the target and organs at risk. We have also expanded the original MCS concept to oMCSedge including the organ location. We observed a moderate correlation between the dose errors and oMCSedge for all organs and volumes of interest except the gross tumor volume, brain stem, and spinal cord. In other organs, a moderate improvement in sensitivity was observed on the SEM, which was correlated with dose errors. Although the implementation of oMCSedge would be impractical for normal clinical settings, it is expected that oMCSedge would help a treatment planner to judge whether or not the treatment plan would be acceptably delivered.
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Affiliation(s)
- Iori Sumida
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871,Japan
- Corresponding author. Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 Yamada-oka, Suita, Osaka, 565-0871 Japan. Tel: +81-6-6879-3482; Fax: +81-6-6879-3489;
| | - Hajime Yamaguchi
- Department of Radiation Oncology, NTT West Osaka Hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, 543-8922, Japan
| | - Indra J Das
- Department of Radiation Oncology, New York University Langone Medical Center, 160 E 34th Street, New York, NY 10016, USA
| | - Hisao Kizaki
- Department of Radiation Oncology, NTT West Osaka Hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, 543-8922, Japan
| | - Keiko Aboshi
- Department of Radiation Oncology, NTT West Osaka Hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, 543-8922, Japan
| | - Mari Tsujii
- Department of Radiation Oncology, NTT West Osaka Hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, 543-8922, Japan
| | - Yuji Yamada
- Department of Radiation Oncology, NTT West Osaka Hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, 543-8922, Japan
| | - Keisuke Tamari
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871,Japan
| | - Yuji Seo
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871,Japan
| | - Fumiaki Isohashi
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871,Japan
| | - Yasuo Yoshioka
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871,Japan
| | - Kazuhiko Ogawa
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871,Japan
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Hamatani N, Sumida I, Takahashi Y, Oda M, Seo Y, Isohashi F, Tamari K, Ogawa K. Three-dimensional dose prediction and validation with the radiobiological gamma index based on a relative seriality model for head-and-neck IMRT. JOURNAL OF RADIATION RESEARCH 2017; 58:701-709. [PMID: 28430990 PMCID: PMC5737806 DOI: 10.1093/jrr/rrx017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 11/30/2016] [Indexed: 06/07/2023]
Abstract
This study proposes a quality assurance (QA) method incorporating radiobiological factors based on the QUANTEC-determined tumor control probability and the normal tissue complication probability (NTCP) of head-and-neck intensity-modulated radiation therapy (HN-IMRT). Per-beam measurements were conducted for 20 cases using a 2D detector array. Three-dimensional predicted dose distributions within targets and organs at risk were reconstructed based on the per-beam QA results derived from differences between planned and measured doses. Under the predicted dose distributions, the differences between the physical and radiobiological gamma indices (PGI and RGI, respectively) based on the relative seriality (RS) model were evaluated. The NTCP values in the RS and Niemierko models were compared. The dose covers 98% (D98%) of the clinical target volume (CTV) decreased by 3.2% (P < 0.001), and the mean dose of the ipsilateral parotid increased by 6.3% (P < 0.001) compared with the original dose. RGI passing rates in the CTV and brain stem were greater than PGI ones by 5.8% (P < 0.001) and 2.0% (P < 0.001), respectively. The RS model's average NTCP values for the ipsilateral and contralateral parotids under the original dose were smaller than those of the Niemierko model by 9.0% (P < 0.001) and 7.0% (P < 0.001), respectively. The 3D predicted dose evaluation with RGI based on the RS model was introduced for QA of HN-IMRT, leading to dose evaluation for each organ with consideration of the radiobiological effect. This method constitutes a rational way to perform QA of HN-IMRT in clinical practice.
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Affiliation(s)
- Noriaki Hamatani
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Iori Sumida
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Yutaka Takahashi
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Michio Oda
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
- Department of Radiology, Osaka University Hospital, 2-15 Yamada-oka, Suita, Osaka 565-0871,Japan
| | - Yuji Seo
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Fumiaki Isohashi
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Keisuke Tamari
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
| | - Kazuhiko Ogawa
- Department of Radiation Oncology, Graduate School of Medicine, Osaka University, 2-2 (D10) Yamada-oka, Suita, Osaka 565-0871, Japan
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Kron T, Lehmann J, Greer PB. Dosimetry of ionising radiation in modern radiation oncology. Phys Med Biol 2016; 61:R167-205. [DOI: 10.1088/0031-9155/61/14/r167] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Sumida I, Yamaguchi H, Kizaki H, Aboshi K, Tsujii M, Yoshikawa N, Yamada Y, Suzuki O, Seo Y, Isohashi F, Yoshioka Y, Ogawa K. Novel Radiobiological Gamma Index for Evaluation of 3-Dimensional Predicted Dose Distribution. Int J Radiat Oncol Biol Phys 2015; 92:779-86. [DOI: 10.1016/j.ijrobp.2015.02.041] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Revised: 01/31/2015] [Accepted: 02/23/2015] [Indexed: 10/23/2022]
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