Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients
Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflo...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nenoff, Lena [verfasserIn] Matter, Michael [verfasserIn] Amaya, Enrique Javier [verfasserIn] Josipovic, Mirjana [verfasserIn] Knopf, Antje-Christin [verfasserIn] Lomax, Antony John [verfasserIn] Persson, Gitte F [verfasserIn] Ribeiro, Cássia O [verfasserIn] Visser, Sabine [verfasserIn] Walser, Marc [verfasserIn] Weber, Damien Charles [verfasserIn] Zhang, Ye [verfasserIn] Albertini, Francesca [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Radiotherapy and oncology - Amsterdam [u.a.] : Elsevier Science, 1983, 159, Seite 136-143 |
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| Übergeordnetes Werk: |
volume:159 ; pages:136-143 |
| DOI / URN: |
10.1016/j.radonc.2021.03.021 |
|---|
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ELV006179029 |
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| 100 | 1 | |a Nenoff, Lena |e verfasserin |0 (orcid)0000-0002-7468-835X |4 aut | |
| 245 | 1 | 0 | |a Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
| 264 | 1 | |c 2021 | |
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| 520 | |a Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. | ||
| 650 | 4 | |a Proton therapy | |
| 650 | 4 | |a Structure propagation | |
| 650 | 4 | |a Online adaption | |
| 650 | 4 | |a Lung cancer | |
| 700 | 1 | |a Matter, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Amaya, Enrique Javier |e verfasserin |4 aut | |
| 700 | 1 | |a Josipovic, Mirjana |e verfasserin |0 (orcid)0000-0001-8288-162X |4 aut | |
| 700 | 1 | |a Knopf, Antje-Christin |e verfasserin |4 aut | |
| 700 | 1 | |a Lomax, Antony John |e verfasserin |4 aut | |
| 700 | 1 | |a Persson, Gitte F |e verfasserin |0 (orcid)0000-0002-3363-3256 |4 aut | |
| 700 | 1 | |a Ribeiro, Cássia O |e verfasserin |0 (orcid)0000-0002-4650-6360 |4 aut | |
| 700 | 1 | |a Visser, Sabine |e verfasserin |0 (orcid)0000-0001-7660-0545 |4 aut | |
| 700 | 1 | |a Walser, Marc |e verfasserin |4 aut | |
| 700 | 1 | |a Weber, Damien Charles |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Ye |e verfasserin |0 (orcid)0000-0003-1608-4467 |4 aut | |
| 700 | 1 | |a Albertini, Francesca |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Radiotherapy and oncology |d Amsterdam [u.a.] : Elsevier Science, 1983 |g 159, Seite 136-143 |h Online-Ressource |w (DE-627)306710110 |w (DE-600)1500707-8 |w (DE-576)082435731 |x 1879-0887 |7 nnns |
| 773 | 1 | 8 | |g volume:159 |g pages:136-143 |
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10.1016/j.radonc.2021.03.021 doi (DE-627)ELV006179029 (ELSEVIER)S0167-8140(21)06147-8 DE-627 ger DE-627 rda eng 610 DE-600 44.81 bkl 44.64 bkl Nenoff, Lena verfasserin (orcid)0000-0002-7468-835X aut Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. Proton therapy Structure propagation Online adaption Lung cancer Matter, Michael verfasserin aut Amaya, Enrique Javier verfasserin aut Josipovic, Mirjana verfasserin (orcid)0000-0001-8288-162X aut Knopf, Antje-Christin verfasserin aut Lomax, Antony John verfasserin aut Persson, Gitte F verfasserin (orcid)0000-0002-3363-3256 aut Ribeiro, Cássia O verfasserin (orcid)0000-0002-4650-6360 aut Visser, Sabine verfasserin (orcid)0000-0001-7660-0545 aut Walser, Marc verfasserin aut Weber, Damien Charles verfasserin aut Zhang, Ye verfasserin (orcid)0000-0003-1608-4467 aut Albertini, Francesca verfasserin aut Enthalten in Radiotherapy and oncology Amsterdam [u.a.] : Elsevier Science, 1983 159, Seite 136-143 Online-Ressource (DE-627)306710110 (DE-600)1500707-8 (DE-576)082435731 1879-0887 nnns volume:159 pages:136-143 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.81 Onkologie 44.64 Radiologie AR 159 136-143 |
| spelling |
10.1016/j.radonc.2021.03.021 doi (DE-627)ELV006179029 (ELSEVIER)S0167-8140(21)06147-8 DE-627 ger DE-627 rda eng 610 DE-600 44.81 bkl 44.64 bkl Nenoff, Lena verfasserin (orcid)0000-0002-7468-835X aut Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. Proton therapy Structure propagation Online adaption Lung cancer Matter, Michael verfasserin aut Amaya, Enrique Javier verfasserin aut Josipovic, Mirjana verfasserin (orcid)0000-0001-8288-162X aut Knopf, Antje-Christin verfasserin aut Lomax, Antony John verfasserin aut Persson, Gitte F verfasserin (orcid)0000-0002-3363-3256 aut Ribeiro, Cássia O verfasserin (orcid)0000-0002-4650-6360 aut Visser, Sabine verfasserin (orcid)0000-0001-7660-0545 aut Walser, Marc verfasserin aut Weber, Damien Charles verfasserin aut Zhang, Ye verfasserin (orcid)0000-0003-1608-4467 aut Albertini, Francesca verfasserin aut Enthalten in Radiotherapy and oncology Amsterdam [u.a.] : Elsevier Science, 1983 159, Seite 136-143 Online-Ressource (DE-627)306710110 (DE-600)1500707-8 (DE-576)082435731 1879-0887 nnns volume:159 pages:136-143 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.81 Onkologie 44.64 Radiologie AR 159 136-143 |
| allfields_unstemmed |
10.1016/j.radonc.2021.03.021 doi (DE-627)ELV006179029 (ELSEVIER)S0167-8140(21)06147-8 DE-627 ger DE-627 rda eng 610 DE-600 44.81 bkl 44.64 bkl Nenoff, Lena verfasserin (orcid)0000-0002-7468-835X aut Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. Proton therapy Structure propagation Online adaption Lung cancer Matter, Michael verfasserin aut Amaya, Enrique Javier verfasserin aut Josipovic, Mirjana verfasserin (orcid)0000-0001-8288-162X aut Knopf, Antje-Christin verfasserin aut Lomax, Antony John verfasserin aut Persson, Gitte F verfasserin (orcid)0000-0002-3363-3256 aut Ribeiro, Cássia O verfasserin (orcid)0000-0002-4650-6360 aut Visser, Sabine verfasserin (orcid)0000-0001-7660-0545 aut Walser, Marc verfasserin aut Weber, Damien Charles verfasserin aut Zhang, Ye verfasserin (orcid)0000-0003-1608-4467 aut Albertini, Francesca verfasserin aut Enthalten in Radiotherapy and oncology Amsterdam [u.a.] : Elsevier Science, 1983 159, Seite 136-143 Online-Ressource (DE-627)306710110 (DE-600)1500707-8 (DE-576)082435731 1879-0887 nnns volume:159 pages:136-143 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.81 Onkologie 44.64 Radiologie AR 159 136-143 |
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10.1016/j.radonc.2021.03.021 doi (DE-627)ELV006179029 (ELSEVIER)S0167-8140(21)06147-8 DE-627 ger DE-627 rda eng 610 DE-600 44.81 bkl 44.64 bkl Nenoff, Lena verfasserin (orcid)0000-0002-7468-835X aut Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. Proton therapy Structure propagation Online adaption Lung cancer Matter, Michael verfasserin aut Amaya, Enrique Javier verfasserin aut Josipovic, Mirjana verfasserin (orcid)0000-0001-8288-162X aut Knopf, Antje-Christin verfasserin aut Lomax, Antony John verfasserin aut Persson, Gitte F verfasserin (orcid)0000-0002-3363-3256 aut Ribeiro, Cássia O verfasserin (orcid)0000-0002-4650-6360 aut Visser, Sabine verfasserin (orcid)0000-0001-7660-0545 aut Walser, Marc verfasserin aut Weber, Damien Charles verfasserin aut Zhang, Ye verfasserin (orcid)0000-0003-1608-4467 aut Albertini, Francesca verfasserin aut Enthalten in Radiotherapy and oncology Amsterdam [u.a.] : Elsevier Science, 1983 159, Seite 136-143 Online-Ressource (DE-627)306710110 (DE-600)1500707-8 (DE-576)082435731 1879-0887 nnns volume:159 pages:136-143 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.81 Onkologie 44.64 Radiologie AR 159 136-143 |
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10.1016/j.radonc.2021.03.021 doi (DE-627)ELV006179029 (ELSEVIER)S0167-8140(21)06147-8 DE-627 ger DE-627 rda eng 610 DE-600 44.81 bkl 44.64 bkl Nenoff, Lena verfasserin (orcid)0000-0002-7468-835X aut Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. Proton therapy Structure propagation Online adaption Lung cancer Matter, Michael verfasserin aut Amaya, Enrique Javier verfasserin aut Josipovic, Mirjana verfasserin (orcid)0000-0001-8288-162X aut Knopf, Antje-Christin verfasserin aut Lomax, Antony John verfasserin aut Persson, Gitte F verfasserin (orcid)0000-0002-3363-3256 aut Ribeiro, Cássia O verfasserin (orcid)0000-0002-4650-6360 aut Visser, Sabine verfasserin (orcid)0000-0001-7660-0545 aut Walser, Marc verfasserin aut Weber, Damien Charles verfasserin aut Zhang, Ye verfasserin (orcid)0000-0003-1608-4467 aut Albertini, Francesca verfasserin aut Enthalten in Radiotherapy and oncology Amsterdam [u.a.] : Elsevier Science, 1983 159, Seite 136-143 Online-Ressource (DE-627)306710110 (DE-600)1500707-8 (DE-576)082435731 1879-0887 nnns volume:159 pages:136-143 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.81 Onkologie 44.64 Radiologie AR 159 136-143 |
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Enthalten in Radiotherapy and oncology 159, Seite 136-143 volume:159 pages:136-143 |
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Nenoff, Lena @@aut@@ Matter, Michael @@aut@@ Amaya, Enrique Javier @@aut@@ Josipovic, Mirjana @@aut@@ Knopf, Antje-Christin @@aut@@ Lomax, Antony John @@aut@@ Persson, Gitte F @@aut@@ Ribeiro, Cássia O @@aut@@ Visser, Sabine @@aut@@ Walser, Marc @@aut@@ Weber, Damien Charles @@aut@@ Zhang, Ye @@aut@@ Albertini, Francesca @@aut@@ |
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2021-01-01T00:00:00Z |
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Nenoff, Lena |
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Nenoff, Lena ddc 610 bkl 44.81 bkl 44.64 misc Proton therapy misc Structure propagation misc Online adaption misc Lung cancer Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
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610 DE-600 44.81 bkl 44.64 bkl Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients Proton therapy Structure propagation Online adaption Lung cancer |
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Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
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Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
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Nenoff, Lena Matter, Michael Amaya, Enrique Javier Josipovic, Mirjana Knopf, Antje-Christin Lomax, Antony John Persson, Gitte F Ribeiro, Cássia O Visser, Sabine Walser, Marc Weber, Damien Charles Zhang, Ye Albertini, Francesca |
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10.1016/j.radonc.2021.03.021 |
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dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
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Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
| abstract |
Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. |
| abstractGer |
Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. |
| abstract_unstemmed |
Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow.Material and methods: For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs.Results: Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach.Conclusion: For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. |
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Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients |
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Matter, Michael Amaya, Enrique Javier Josipovic, Mirjana Knopf, Antje-Christin Lomax, Antony John Persson, Gitte F Ribeiro, Cássia O Visser, Sabine Walser, Marc Weber, Damien Charles Zhang, Ye Albertini, Francesca |
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7.4002113 |