Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers
Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plan...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
EL Kafhali, Morad [verfasserIn] Khalis, Mohammed [verfasserIn] Tahmasbi, Marziyeh [verfasserIn] Sebihi, Rajaa [verfasserIn] Talbi, Mohammed [verfasserIn] Youssoufi, Moulay Ali [verfasserIn] Moujahid, Soukaina [verfasserIn] Elkhatib, Aziz [verfasserIn] Ghosne, Nadia [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
Tumor control probability (TCP) |
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| Anmerkung: |
© The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Health and Technology - Springer Berlin Heidelberg, 2011, 14(2024), 6 vom: 19. Aug., Seite 1175-1186 |
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| Übergeordnetes Werk: |
volume:14 ; year:2024 ; number:6 ; day:19 ; month:08 ; pages:1175-1186 |
| Links: |
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| DOI / URN: |
10.1007/s12553-024-00901-3 |
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SPR057845425 |
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| 520 | |a Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. | ||
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| 650 | 4 | |a Tumor control probability (TCP) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Normal tissue complications probability (NTCP) |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Youssoufi, Moulay Ali |e verfasserin |4 aut | |
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| 700 | 1 | |a Elkhatib, Aziz |e verfasserin |4 aut | |
| 700 | 1 | |a Ghosne, Nadia |e verfasserin |4 aut | |
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10.1007/s12553-024-00901-3 doi (DE-627)SPR057845425 (SPR)s12553-024-00901-3-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl EL Kafhali, Morad verfasserin (orcid)0000-0003-4177-4515 aut Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. RADBIOMOD (dpeaa)DE-He213 Radiobiological modeling (dpeaa)DE-He213 Tumor control probability (TCP) (dpeaa)DE-He213 Normal tissue complications probability (NTCP) (dpeaa)DE-He213 Uncomplicated tumor control probability (UTCP) (dpeaa)DE-He213 Khalis, Mohammed verfasserin aut Tahmasbi, Marziyeh verfasserin aut Sebihi, Rajaa verfasserin aut Talbi, Mohammed verfasserin aut Youssoufi, Moulay Ali verfasserin aut Moujahid, Soukaina verfasserin aut Elkhatib, Aziz verfasserin aut Ghosne, Nadia verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 6 vom: 19. Aug., Seite 1175-1186 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:6 day:19 month:08 pages:1175-1186 https://dx.doi.org/10.1007/s12553-024-00901-3 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 VZ AR 14 2024 6 19 08 1175-1186 |
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10.1007/s12553-024-00901-3 doi (DE-627)SPR057845425 (SPR)s12553-024-00901-3-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl EL Kafhali, Morad verfasserin (orcid)0000-0003-4177-4515 aut Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. RADBIOMOD (dpeaa)DE-He213 Radiobiological modeling (dpeaa)DE-He213 Tumor control probability (TCP) (dpeaa)DE-He213 Normal tissue complications probability (NTCP) (dpeaa)DE-He213 Uncomplicated tumor control probability (UTCP) (dpeaa)DE-He213 Khalis, Mohammed verfasserin aut Tahmasbi, Marziyeh verfasserin aut Sebihi, Rajaa verfasserin aut Talbi, Mohammed verfasserin aut Youssoufi, Moulay Ali verfasserin aut Moujahid, Soukaina verfasserin aut Elkhatib, Aziz verfasserin aut Ghosne, Nadia verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 6 vom: 19. Aug., Seite 1175-1186 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:6 day:19 month:08 pages:1175-1186 https://dx.doi.org/10.1007/s12553-024-00901-3 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 VZ AR 14 2024 6 19 08 1175-1186 |
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10.1007/s12553-024-00901-3 doi (DE-627)SPR057845425 (SPR)s12553-024-00901-3-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl EL Kafhali, Morad verfasserin (orcid)0000-0003-4177-4515 aut Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. RADBIOMOD (dpeaa)DE-He213 Radiobiological modeling (dpeaa)DE-He213 Tumor control probability (TCP) (dpeaa)DE-He213 Normal tissue complications probability (NTCP) (dpeaa)DE-He213 Uncomplicated tumor control probability (UTCP) (dpeaa)DE-He213 Khalis, Mohammed verfasserin aut Tahmasbi, Marziyeh verfasserin aut Sebihi, Rajaa verfasserin aut Talbi, Mohammed verfasserin aut Youssoufi, Moulay Ali verfasserin aut Moujahid, Soukaina verfasserin aut Elkhatib, Aziz verfasserin aut Ghosne, Nadia verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 6 vom: 19. Aug., Seite 1175-1186 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:6 day:19 month:08 pages:1175-1186 https://dx.doi.org/10.1007/s12553-024-00901-3 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 VZ AR 14 2024 6 19 08 1175-1186 |
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10.1007/s12553-024-00901-3 doi (DE-627)SPR057845425 (SPR)s12553-024-00901-3-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl EL Kafhali, Morad verfasserin (orcid)0000-0003-4177-4515 aut Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. RADBIOMOD (dpeaa)DE-He213 Radiobiological modeling (dpeaa)DE-He213 Tumor control probability (TCP) (dpeaa)DE-He213 Normal tissue complications probability (NTCP) (dpeaa)DE-He213 Uncomplicated tumor control probability (UTCP) (dpeaa)DE-He213 Khalis, Mohammed verfasserin aut Tahmasbi, Marziyeh verfasserin aut Sebihi, Rajaa verfasserin aut Talbi, Mohammed verfasserin aut Youssoufi, Moulay Ali verfasserin aut Moujahid, Soukaina verfasserin aut Elkhatib, Aziz verfasserin aut Ghosne, Nadia verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 6 vom: 19. Aug., Seite 1175-1186 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:6 day:19 month:08 pages:1175-1186 https://dx.doi.org/10.1007/s12553-024-00901-3 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 VZ AR 14 2024 6 19 08 1175-1186 |
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10.1007/s12553-024-00901-3 doi (DE-627)SPR057845425 (SPR)s12553-024-00901-3-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl EL Kafhali, Morad verfasserin (orcid)0000-0003-4177-4515 aut Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. RADBIOMOD (dpeaa)DE-He213 Radiobiological modeling (dpeaa)DE-He213 Tumor control probability (TCP) (dpeaa)DE-He213 Normal tissue complications probability (NTCP) (dpeaa)DE-He213 Uncomplicated tumor control probability (UTCP) (dpeaa)DE-He213 Khalis, Mohammed verfasserin aut Tahmasbi, Marziyeh verfasserin aut Sebihi, Rajaa verfasserin aut Talbi, Mohammed verfasserin aut Youssoufi, Moulay Ali verfasserin aut Moujahid, Soukaina verfasserin aut Elkhatib, Aziz verfasserin aut Ghosne, Nadia verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 6 vom: 19. Aug., Seite 1175-1186 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:6 day:19 month:08 pages:1175-1186 https://dx.doi.org/10.1007/s12553-024-00901-3 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2574 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.09 VZ AR 14 2024 6 19 08 1175-1186 |
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EL Kafhali, Morad @@aut@@ Khalis, Mohammed @@aut@@ Tahmasbi, Marziyeh @@aut@@ Sebihi, Rajaa @@aut@@ Talbi, Mohammed @@aut@@ Youssoufi, Moulay Ali @@aut@@ Moujahid, Soukaina @@aut@@ Elkhatib, Aziz @@aut@@ Ghosne, Nadia @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR057845425</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20241018064825.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">241018s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12553-024-00901-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR057845425</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12553-024-00901-3-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.09</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">EL Kafhali, Morad</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0003-4177-4515</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. 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|
| author |
EL Kafhali, Morad |
| spellingShingle |
EL Kafhali, Morad ddc 610 bkl 44.09 misc RADBIOMOD misc Radiobiological modeling misc Tumor control probability (TCP) misc Normal tissue complications probability (NTCP) misc Uncomplicated tumor control probability (UTCP) Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers |
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EL Kafhali, Morad |
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electronic Article |
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610 - Medicine & health |
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springer |
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2190-7196 |
| topic_title |
610 VZ 44.09 bkl Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers RADBIOMOD (dpeaa)DE-He213 Radiobiological modeling (dpeaa)DE-He213 Tumor control probability (TCP) (dpeaa)DE-He213 Normal tissue complications probability (NTCP) (dpeaa)DE-He213 Uncomplicated tumor control probability (UTCP) (dpeaa)DE-He213 |
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ddc 610 bkl 44.09 misc RADBIOMOD misc Radiobiological modeling misc Tumor control probability (TCP) misc Normal tissue complications probability (NTCP) misc Uncomplicated tumor control probability (UTCP) |
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ddc 610 bkl 44.09 misc RADBIOMOD misc Radiobiological modeling misc Tumor control probability (TCP) misc Normal tissue complications probability (NTCP) misc Uncomplicated tumor control probability (UTCP) |
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Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers |
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EL Kafhali, Morad Khalis, Mohammed Tahmasbi, Marziyeh Sebihi, Rajaa Talbi, Mohammed Youssoufi, Moulay Ali Moujahid, Soukaina Elkhatib, Aziz Ghosne, Nadia |
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enhancing treatment precision through radiobiological modeling for evaluating complex vmat plans in prostate and head-and-neck cancers |
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Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers |
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Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Background and objectives Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the quality of treatment plans for external radiotherapy of prostate and head-and-neck cancer patients using radiobiological modeling. Methods Treatment plans of five prostate and five head-and-neck cancer patients treated with volumetric modulated arc therapy were evaluated. The RADBIOMOD software tool was used to calculate tumor control probability (TCP) and normal tissue complications probability (NTCP). TCPs were calculated based on Poisson, Zaider-Minerbo, and equivalent uniform dose (EUD) models. Lyman-Kutcher-Burman (LKB) and EUD models were used to calculate NTCPs. Uncomplicated tumor control probability (UTCP) was also calculated. Results For the evaluated prostate cancer treatment plans, the Zaider-Minerbo model achieved the highest TCP of 99.34%, while the Poisson model had the highest TCP of 97.78% for head-and-neck cases. The LKB model was effective in determining NTCP for cancer treatment plans being studied. Although acceptable values of calculated UTCP for both prostate and head-and-neck cancer cases were observed, the NTCP values obtained using the EUD model exceeded the permitted range for evaluated head-and-neck cases. Conclusions The acceptable quality of evaluated treatment plans was proved using calculated values of TCP, NTCP, and UTCP. These indices, along with the conventional dosimetric indicators obtained from dose volume histograms (DVHs), can help to assess the quality of treatment plans and to identify the optimal treatment plans. The observed varied TCP results across models, highlighting the importance of evaluating treatment plans with multiple models to ensure biologically guaranteed quality. © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| score |
7.4004736 |