Treatment Planning: comparing techniques and standards
Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Molinelli, Silvia [verfasserIn] Mirandola, Alfredo [verfasserIn] Magro, Giuseppe [verfasserIn] Russo, Stefania [verfasserIn] Vai, Alessandro [verfasserIn] Rossi, Eleonora [verfasserIn] Bazani, Alessia [verfasserIn] Trombetta, Luca [verfasserIn] Bagnalasta, Matteo [verfasserIn] Orlandi, Ester [verfasserIn] Ciocca, Mario [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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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), 5 vom: 05. Apr., Seite 903-909 |
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| Übergeordnetes Werk: |
volume:14 ; year:2024 ; number:5 ; day:05 ; month:04 ; pages:903-909 |
| Links: |
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| DOI / URN: |
10.1007/s12553-024-00845-8 |
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| Katalog-ID: |
SPR057098255 |
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| 520 | |a Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. | ||
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| 650 | 4 | |a Treatment planning |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Russo, Stefania |e verfasserin |4 aut | |
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| 700 | 1 | |a Orlandi, Ester |e verfasserin |4 aut | |
| 700 | 1 | |a Ciocca, Mario |e verfasserin |4 aut | |
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10.1007/s12553-024-00845-8 doi (DE-627)SPR057098255 (SPR)s12553-024-00845-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl Molinelli, Silvia verfasserin aut Treatment Planning: comparing techniques and standards 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. Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. Hadrontherapy (dpeaa)DE-He213 Carbon ions (dpeaa)DE-He213 Protons (dpeaa)DE-He213 Treatment planning (dpeaa)DE-He213 Mirandola, Alfredo verfasserin aut Magro, Giuseppe verfasserin (orcid)0000-0001-7140-8642 aut Russo, Stefania verfasserin aut Vai, Alessandro verfasserin aut Rossi, Eleonora verfasserin aut Bazani, Alessia verfasserin aut Trombetta, Luca verfasserin aut Bagnalasta, Matteo verfasserin aut Orlandi, Ester verfasserin aut Ciocca, Mario verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 5 vom: 05. Apr., Seite 903-909 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:5 day:05 month:04 pages:903-909 https://dx.doi.org/10.1007/s12553-024-00845-8 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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_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 5 05 04 903-909 |
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10.1007/s12553-024-00845-8 doi (DE-627)SPR057098255 (SPR)s12553-024-00845-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl Molinelli, Silvia verfasserin aut Treatment Planning: comparing techniques and standards 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. Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. Hadrontherapy (dpeaa)DE-He213 Carbon ions (dpeaa)DE-He213 Protons (dpeaa)DE-He213 Treatment planning (dpeaa)DE-He213 Mirandola, Alfredo verfasserin aut Magro, Giuseppe verfasserin (orcid)0000-0001-7140-8642 aut Russo, Stefania verfasserin aut Vai, Alessandro verfasserin aut Rossi, Eleonora verfasserin aut Bazani, Alessia verfasserin aut Trombetta, Luca verfasserin aut Bagnalasta, Matteo verfasserin aut Orlandi, Ester verfasserin aut Ciocca, Mario verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 5 vom: 05. Apr., Seite 903-909 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:5 day:05 month:04 pages:903-909 https://dx.doi.org/10.1007/s12553-024-00845-8 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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_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 5 05 04 903-909 |
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10.1007/s12553-024-00845-8 doi (DE-627)SPR057098255 (SPR)s12553-024-00845-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl Molinelli, Silvia verfasserin aut Treatment Planning: comparing techniques and standards 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. Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. Hadrontherapy (dpeaa)DE-He213 Carbon ions (dpeaa)DE-He213 Protons (dpeaa)DE-He213 Treatment planning (dpeaa)DE-He213 Mirandola, Alfredo verfasserin aut Magro, Giuseppe verfasserin (orcid)0000-0001-7140-8642 aut Russo, Stefania verfasserin aut Vai, Alessandro verfasserin aut Rossi, Eleonora verfasserin aut Bazani, Alessia verfasserin aut Trombetta, Luca verfasserin aut Bagnalasta, Matteo verfasserin aut Orlandi, Ester verfasserin aut Ciocca, Mario verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 5 vom: 05. Apr., Seite 903-909 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:5 day:05 month:04 pages:903-909 https://dx.doi.org/10.1007/s12553-024-00845-8 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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_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 5 05 04 903-909 |
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10.1007/s12553-024-00845-8 doi (DE-627)SPR057098255 (SPR)s12553-024-00845-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl Molinelli, Silvia verfasserin aut Treatment Planning: comparing techniques and standards 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. Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. Hadrontherapy (dpeaa)DE-He213 Carbon ions (dpeaa)DE-He213 Protons (dpeaa)DE-He213 Treatment planning (dpeaa)DE-He213 Mirandola, Alfredo verfasserin aut Magro, Giuseppe verfasserin (orcid)0000-0001-7140-8642 aut Russo, Stefania verfasserin aut Vai, Alessandro verfasserin aut Rossi, Eleonora verfasserin aut Bazani, Alessia verfasserin aut Trombetta, Luca verfasserin aut Bagnalasta, Matteo verfasserin aut Orlandi, Ester verfasserin aut Ciocca, Mario verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 5 vom: 05. Apr., Seite 903-909 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:5 day:05 month:04 pages:903-909 https://dx.doi.org/10.1007/s12553-024-00845-8 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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_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 5 05 04 903-909 |
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10.1007/s12553-024-00845-8 doi (DE-627)SPR057098255 (SPR)s12553-024-00845-8-e DE-627 ger DE-627 rakwb eng 610 VZ 44.09 bkl Molinelli, Silvia verfasserin aut Treatment Planning: comparing techniques and standards 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. Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. Hadrontherapy (dpeaa)DE-He213 Carbon ions (dpeaa)DE-He213 Protons (dpeaa)DE-He213 Treatment planning (dpeaa)DE-He213 Mirandola, Alfredo verfasserin aut Magro, Giuseppe verfasserin (orcid)0000-0001-7140-8642 aut Russo, Stefania verfasserin aut Vai, Alessandro verfasserin aut Rossi, Eleonora verfasserin aut Bazani, Alessia verfasserin aut Trombetta, Luca verfasserin aut Bagnalasta, Matteo verfasserin aut Orlandi, Ester verfasserin aut Ciocca, Mario verfasserin aut Enthalten in Health and Technology Springer Berlin Heidelberg, 2011 14(2024), 5 vom: 05. Apr., Seite 903-909 (DE-627)640089313 (DE-600)2581463-1 2190-7196 nnns volume:14 year:2024 number:5 day:05 month:04 pages:903-909 https://dx.doi.org/10.1007/s12553-024-00845-8 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_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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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_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 5 05 04 903-909 |
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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">Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. 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Molinelli, Silvia Mirandola, Alfredo Magro, Giuseppe Russo, Stefania Vai, Alessandro Rossi, Eleonora Bazani, Alessia Trombetta, Luca Bagnalasta, Matteo Orlandi, Ester Ciocca, Mario |
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treatment planning: comparing techniques and standards |
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Treatment Planning: comparing techniques and standards |
| abstract |
Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. © 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. |
| abstractGer |
Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. © 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. |
| abstract_unstemmed |
Purpose To highlight merits and pitfalls of treatment plan comparison between photon-based conventional radiation therapy (XRT) and particle-based (proton and carbon ions) therapy (PT). Methods The physical and dosimetric rationales for the use of PT will be explored looking at their advantages and disadvantages with a specific focus on sensitivity to range and biological uncertainties. Next, the analysis will focus on linear energy transfer (LET) and its correlation with relative biological effectiveness (RBE), particularly within the context of plan optimization and evaluation phases in proton therapy. This examination aims to address the impact of the LET/RBE interplay on radiobiological uncertainties. Results There is a wide literature of planning studies comparing PT and the most advanced XRT techniques. Purely dosimetric advantages are translated into normal tissue complication probability (NTCP) variation to drive patient optimal allocation, but the impact of range uncertainty needs to be accounted for, together with the consequent need for plan adaptation and organ motion management. RBE modelling and entailed clinical effects are currently central in PT research, while new degrees of freedom are being introduced with LET-based plan optimization and evaluation. Conclusions PT shows many dosimetric advantages but emphasizes challenges like range uncertainty. RBE modelling plays a crucial role, and LET-based optimization introduces new possibilities. Addressing uncertainties and embracing innovation are vital for enhancing PT’s efficacy. © 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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Mirandola, Alfredo Magro, Giuseppe Russo, Stefania Vai, Alessandro Rossi, Eleonora Bazani, Alessia Trombetta, Luca Bagnalasta, Matteo Orlandi, Ester Ciocca, Mario |
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| score |
7.401602 |