Novel Radiobiological Gamma Index for Evaluation of 3-Dimensional Predicted Dose Distribution
To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication probabilities (NTCP). Fifteen prostate and head and neck (H&N) cancer patients received intensity modulated radiation therapy. Before treatmen...
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Published in | International journal of radiation oncology, biology, physics Vol. 92; no. 4; pp. 779 - 786 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
15.07.2015
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Abstract | To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication probabilities (NTCP).
Fifteen prostate and head and neck (H&N) cancer patients received intensity modulated radiation therapy. Before treatment, patient-specific quality assurance was conducted via beam-by-beam analysis, and beam-specific dose error distributions were generated. The predicted 3-dimensional (3D) dose distribution was calculated by back-projection of relative dose error distribution per beam. A 3D gamma analysis of different organs (prostate: clinical [CTV] and planned target volumes [PTV], rectum, bladder, femoral heads; H&N: gross tumor volume [GTV], CTV, spinal cord, brain stem, both parotids) was performed using predicted and planned dose distributions under 2%/2 mm tolerance and physical gamma passing rate was calculated. TCP and NTCP values were calculated for voxels with physical gamma indices (PGI) >1. We propose a new radiobiological gamma index (RGI) to quantify the radiobiological effects of TCP and NTCP and calculate radiobiological gamma passing rates.
The mean RGI gamma passing rates for prostate cases were significantly different compared with those of PGI (P<.03–.001). The mean RGI gamma passing rates for H&N cases (except for GTV) were significantly different compared with those of PGI (P<.001). Differences in gamma passing rates between PGI and RGI were due to dose differences between the planned and predicted dose distributions. Radiobiological gamma distribution was visualized to identify areas where the dose was radiobiologically important.
RGI was proposed to integrate radiobiological effects into PGI. This index would assist physicians and medical physicists not only in physical evaluations of treatment delivery accuracy, but also in clinical evaluations of predicted dose distribution. |
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AbstractList | To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication probabilities (NTCP).PURPOSETo propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication probabilities (NTCP).Fifteen prostate and head and neck (H&N) cancer patients received intensity modulated radiation therapy. Before treatment, patient-specific quality assurance was conducted via beam-by-beam analysis, and beam-specific dose error distributions were generated. The predicted 3-dimensional (3D) dose distribution was calculated by back-projection of relative dose error distribution per beam. A 3D gamma analysis of different organs (prostate: clinical [CTV] and planned target volumes [PTV], rectum, bladder, femoral heads; H&N: gross tumor volume [GTV], CTV, spinal cord, brain stem, both parotids) was performed using predicted and planned dose distributions under 2%/2 mm tolerance and physical gamma passing rate was calculated. TCP and NTCP values were calculated for voxels with physical gamma indices (PGI) >1. We propose a new radiobiological gamma index (RGI) to quantify the radiobiological effects of TCP and NTCP and calculate radiobiological gamma passing rates.METHODS AND MATERIALSFifteen prostate and head and neck (H&N) cancer patients received intensity modulated radiation therapy. Before treatment, patient-specific quality assurance was conducted via beam-by-beam analysis, and beam-specific dose error distributions were generated. The predicted 3-dimensional (3D) dose distribution was calculated by back-projection of relative dose error distribution per beam. A 3D gamma analysis of different organs (prostate: clinical [CTV] and planned target volumes [PTV], rectum, bladder, femoral heads; H&N: gross tumor volume [GTV], CTV, spinal cord, brain stem, both parotids) was performed using predicted and planned dose distributions under 2%/2 mm tolerance and physical gamma passing rate was calculated. TCP and NTCP values were calculated for voxels with physical gamma indices (PGI) >1. We propose a new radiobiological gamma index (RGI) to quantify the radiobiological effects of TCP and NTCP and calculate radiobiological gamma passing rates.The mean RGI gamma passing rates for prostate cases were significantly different compared with those of PGI (P<.03-.001). The mean RGI gamma passing rates for H&N cases (except for GTV) were significantly different compared with those of PGI (P<.001). Differences in gamma passing rates between PGI and RGI were due to dose differences between the planned and predicted dose distributions. Radiobiological gamma distribution was visualized to identify areas where the dose was radiobiologically important.RESULTSThe mean RGI gamma passing rates for prostate cases were significantly different compared with those of PGI (P<.03-.001). The mean RGI gamma passing rates for H&N cases (except for GTV) were significantly different compared with those of PGI (P<.001). Differences in gamma passing rates between PGI and RGI were due to dose differences between the planned and predicted dose distributions. Radiobiological gamma distribution was visualized to identify areas where the dose was radiobiologically important.RGI was proposed to integrate radiobiological effects into PGI. This index would assist physicians and medical physicists not only in physical evaluations of treatment delivery accuracy, but also in clinical evaluations of predicted dose distribution.CONCLUSIONSRGI was proposed to integrate radiobiological effects into PGI. This index would assist physicians and medical physicists not only in physical evaluations of treatment delivery accuracy, but also in clinical evaluations of predicted dose distribution. To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication probabilities (NTCP). Fifteen prostate and head and neck (H&N) cancer patients received intensity modulated radiation therapy. Before treatment, patient-specific quality assurance was conducted via beam-by-beam analysis, and beam-specific dose error distributions were generated. The predicted 3-dimensional (3D) dose distribution was calculated by back-projection of relative dose error distribution per beam. A 3D gamma analysis of different organs (prostate: clinical [CTV] and planned target volumes [PTV], rectum, bladder, femoral heads; H&N: gross tumor volume [GTV], CTV, spinal cord, brain stem, both parotids) was performed using predicted and planned dose distributions under 2%/2 mm tolerance and physical gamma passing rate was calculated. TCP and NTCP values were calculated for voxels with physical gamma indices (PGI) >1. We propose a new radiobiological gamma index (RGI) to quantify the radiobiological effects of TCP and NTCP and calculate radiobiological gamma passing rates. The mean RGI gamma passing rates for prostate cases were significantly different compared with those of PGI (P<.03–.001). The mean RGI gamma passing rates for H&N cases (except for GTV) were significantly different compared with those of PGI (P<.001). Differences in gamma passing rates between PGI and RGI were due to dose differences between the planned and predicted dose distributions. Radiobiological gamma distribution was visualized to identify areas where the dose was radiobiologically important. RGI was proposed to integrate radiobiological effects into PGI. This index would assist physicians and medical physicists not only in physical evaluations of treatment delivery accuracy, but also in clinical evaluations of predicted dose distribution. Purpose To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication probabilities (NTCP). Methods and Materials Fifteen prostate and head and neck (H&N) cancer patients received intensity modulated radiation therapy. Before treatment, patient-specific quality assurance was conducted via beam-by-beam analysis, and beam-specific dose error distributions were generated. The predicted 3-dimensional (3D) dose distribution was calculated by back-projection of relative dose error distribution per beam. A 3D gamma analysis of different organs (prostate: clinical [CTV] and planned target volumes [PTV], rectum, bladder, femoral heads; H&N: gross tumor volume [GTV], CTV, spinal cord, brain stem, both parotids) was performed using predicted and planned dose distributions under 2%/2 mm tolerance and physical gamma passing rate was calculated. TCP and NTCP values were calculated for voxels with physical gamma indices (PGI) >1. We propose a new radiobiological gamma index (RGI) to quantify the radiobiological effects of TCP and NTCP and calculate radiobiological gamma passing rates. Results The mean RGI gamma passing rates for prostate cases were significantly different compared with those of PGI ( P <.03–.001). The mean RGI gamma passing rates for H&N cases (except for GTV) were significantly different compared with those of PGI ( P <.001). Differences in gamma passing rates between PGI and RGI were due to dose differences between the planned and predicted dose distributions. Radiobiological gamma distribution was visualized to identify areas where the dose was radiobiologically important. Conclusions RGI was proposed to integrate radiobiological effects into PGI. This index would assist physicians and medical physicists not only in physical evaluations of treatment delivery accuracy, but also in clinical evaluations of predicted dose distribution. |
Author | Tsujii, Mari Seo, Yuji Yoshikawa, Nobuhiko Kizaki, Hisao Yamaguchi, Hajime Yoshioka, Yasuo Ogawa, Kazuhiko Yamada, Yuji Isohashi, Fumiaki Aboshi, Keiko Suzuki, Osamu Sumida, Iori |
Author_xml | – sequence: 1 givenname: Iori surname: Sumida fullname: Sumida, Iori email: sumida@radonc.med.osaka-u.ac.jp organization: Department of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 2 givenname: Hajime surname: Yamaguchi fullname: Yamaguchi, Hajime organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 3 givenname: Hisao surname: Kizaki fullname: Kizaki, Hisao organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 4 givenname: Keiko surname: Aboshi fullname: Aboshi, Keiko organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 5 givenname: Mari surname: Tsujii fullname: Tsujii, Mari organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 6 givenname: Nobuhiko surname: Yoshikawa fullname: Yoshikawa, Nobuhiko organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 7 givenname: Yuji surname: Yamada fullname: Yamada, Yuji organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 8 givenname: Osamu surname: Suzuki fullname: Suzuki, Osamu organization: Department of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 9 givenname: Yuji surname: Seo fullname: Seo, Yuji organization: Department of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 10 givenname: Fumiaki surname: Isohashi fullname: Isohashi, Fumiaki organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan – sequence: 11 givenname: Yasuo surname: Yoshioka fullname: Yoshioka, Yasuo organization: Department of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan – sequence: 12 givenname: Kazuhiko surname: Ogawa fullname: Ogawa, Kazuhiko organization: Department of Radiation Oncology, NTT West Osaka Hospital, Osaka, Japan |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25936816$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/22462372$$D View this record in Osti.gov |
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Snippet | To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue complication... Purpose To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue... Purpose: To propose a gamma index-based dose evaluation index that integrates the radiobiological parameters of tumor control (TCP) and normal tissue... |
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SubjectTerms | ACCURACY Algorithms ANIMAL TISSUES BIOLOGICAL RADIATION EFFECTS BLADDER BRAIN COMPARATIVE EVALUATIONS ERRORS Femur Head - radiation effects HEAD Head and Neck Neoplasms - radiotherapy Hematology, Oncology and Palliative Medicine Humans Male NECK NEOPLASMS Organs at Risk - diagnostic imaging Organs at Risk - radiation effects Parotid Gland - radiation effects PATIENTS PROBABILITY PROSTATE Prostate - radiation effects Prostatic Neoplasms - radiotherapy QUALITY ASSURANCE Quality Assurance, Health Care RADIATION DOSE DISTRIBUTIONS RADIATION DOSES Radiography Radiology RADIOLOGY AND NUCLEAR MEDICINE RADIOTHERAPY Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Radiotherapy Planning, Computer-Assisted - standards Radiotherapy, Intensity-Modulated - methods Radiotherapy, Intensity-Modulated - standards RECTUM Rectum - radiation effects SPINAL CORD Urinary Bladder - radiation effects |
Title | Novel Radiobiological Gamma Index for Evaluation of 3-Dimensional Predicted Dose Distribution |
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