Radiotherapy in oncological emergencies: fast-track treatment planning
Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT pat...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nierer, Lukas [verfasserIn] Walter, Franziska [verfasserIn] Niyazi, Maximilian [verfasserIn] Shpani, Roel [verfasserIn] Landry, Guillaume [verfasserIn] Marschner, Sebastian [verfasserIn] von Bestenbostel, Rieke [verfasserIn] Dinkel, Dominika [verfasserIn] Essenbach, Gabriela [verfasserIn] Reiner, Michael [verfasserIn] Belka, Claus [verfasserIn] Corradini, Stefanie [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Übergeordnetes Werk: |
Enthalten in: Radiation oncology - London : BioMed Central, 2006, 15(2020), 1 vom: 10. Sept. |
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| Übergeordnetes Werk: |
volume:15 ; year:2020 ; number:1 ; day:10 ; month:09 |
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| DOI / URN: |
10.1186/s13014-020-01657-6 |
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| Katalog-ID: |
SPR040928403 |
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| 520 | |a Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. | ||
| 650 | 4 | |a Emergency radiation treatment |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Treatment planning on diagnostic CT |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Fast treatment planning |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Rapid planning |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Emergency RT workflow |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Walter, Franziska |e verfasserin |4 aut | |
| 700 | 1 | |a Niyazi, Maximilian |e verfasserin |4 aut | |
| 700 | 1 | |a Shpani, Roel |e verfasserin |4 aut | |
| 700 | 1 | |a Landry, Guillaume |e verfasserin |4 aut | |
| 700 | 1 | |a Marschner, Sebastian |e verfasserin |4 aut | |
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| 700 | 1 | |a Dinkel, Dominika |e verfasserin |4 aut | |
| 700 | 1 | |a Essenbach, Gabriela |e verfasserin |4 aut | |
| 700 | 1 | |a Reiner, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Belka, Claus |e verfasserin |4 aut | |
| 700 | 1 | |a Corradini, Stefanie |e verfasserin |4 aut | |
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10.1186/s13014-020-01657-6 doi (DE-627)SPR040928403 (SPR)s13014-020-01657-6-e DE-627 ger DE-627 rakwb eng 610 ASE Nierer, Lukas verfasserin aut Radiotherapy in oncological emergencies: fast-track treatment planning 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. Emergency radiation treatment (dpeaa)DE-He213 Treatment planning on diagnostic CT (dpeaa)DE-He213 Fast treatment planning (dpeaa)DE-He213 Rapid planning (dpeaa)DE-He213 Emergency RT workflow (dpeaa)DE-He213 Walter, Franziska verfasserin aut Niyazi, Maximilian verfasserin aut Shpani, Roel verfasserin aut Landry, Guillaume verfasserin aut Marschner, Sebastian verfasserin aut von Bestenbostel, Rieke verfasserin aut Dinkel, Dominika verfasserin aut Essenbach, Gabriela verfasserin aut Reiner, Michael verfasserin aut Belka, Claus verfasserin aut Corradini, Stefanie verfasserin aut Enthalten in Radiation oncology London : BioMed Central, 2006 15(2020), 1 vom: 10. Sept. (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:15 year:2020 number:1 day:10 month:09 https://dx.doi.org/10.1186/s13014-020-01657-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 1 10 09 |
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10.1186/s13014-020-01657-6 doi (DE-627)SPR040928403 (SPR)s13014-020-01657-6-e DE-627 ger DE-627 rakwb eng 610 ASE Nierer, Lukas verfasserin aut Radiotherapy in oncological emergencies: fast-track treatment planning 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. Emergency radiation treatment (dpeaa)DE-He213 Treatment planning on diagnostic CT (dpeaa)DE-He213 Fast treatment planning (dpeaa)DE-He213 Rapid planning (dpeaa)DE-He213 Emergency RT workflow (dpeaa)DE-He213 Walter, Franziska verfasserin aut Niyazi, Maximilian verfasserin aut Shpani, Roel verfasserin aut Landry, Guillaume verfasserin aut Marschner, Sebastian verfasserin aut von Bestenbostel, Rieke verfasserin aut Dinkel, Dominika verfasserin aut Essenbach, Gabriela verfasserin aut Reiner, Michael verfasserin aut Belka, Claus verfasserin aut Corradini, Stefanie verfasserin aut Enthalten in Radiation oncology London : BioMed Central, 2006 15(2020), 1 vom: 10. Sept. (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:15 year:2020 number:1 day:10 month:09 https://dx.doi.org/10.1186/s13014-020-01657-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 1 10 09 |
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10.1186/s13014-020-01657-6 doi (DE-627)SPR040928403 (SPR)s13014-020-01657-6-e DE-627 ger DE-627 rakwb eng 610 ASE Nierer, Lukas verfasserin aut Radiotherapy in oncological emergencies: fast-track treatment planning 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. Emergency radiation treatment (dpeaa)DE-He213 Treatment planning on diagnostic CT (dpeaa)DE-He213 Fast treatment planning (dpeaa)DE-He213 Rapid planning (dpeaa)DE-He213 Emergency RT workflow (dpeaa)DE-He213 Walter, Franziska verfasserin aut Niyazi, Maximilian verfasserin aut Shpani, Roel verfasserin aut Landry, Guillaume verfasserin aut Marschner, Sebastian verfasserin aut von Bestenbostel, Rieke verfasserin aut Dinkel, Dominika verfasserin aut Essenbach, Gabriela verfasserin aut Reiner, Michael verfasserin aut Belka, Claus verfasserin aut Corradini, Stefanie verfasserin aut Enthalten in Radiation oncology London : BioMed Central, 2006 15(2020), 1 vom: 10. Sept. (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:15 year:2020 number:1 day:10 month:09 https://dx.doi.org/10.1186/s13014-020-01657-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 1 10 09 |
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10.1186/s13014-020-01657-6 doi (DE-627)SPR040928403 (SPR)s13014-020-01657-6-e DE-627 ger DE-627 rakwb eng 610 ASE Nierer, Lukas verfasserin aut Radiotherapy in oncological emergencies: fast-track treatment planning 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. Emergency radiation treatment (dpeaa)DE-He213 Treatment planning on diagnostic CT (dpeaa)DE-He213 Fast treatment planning (dpeaa)DE-He213 Rapid planning (dpeaa)DE-He213 Emergency RT workflow (dpeaa)DE-He213 Walter, Franziska verfasserin aut Niyazi, Maximilian verfasserin aut Shpani, Roel verfasserin aut Landry, Guillaume verfasserin aut Marschner, Sebastian verfasserin aut von Bestenbostel, Rieke verfasserin aut Dinkel, Dominika verfasserin aut Essenbach, Gabriela verfasserin aut Reiner, Michael verfasserin aut Belka, Claus verfasserin aut Corradini, Stefanie verfasserin aut Enthalten in Radiation oncology London : BioMed Central, 2006 15(2020), 1 vom: 10. Sept. (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:15 year:2020 number:1 day:10 month:09 https://dx.doi.org/10.1186/s13014-020-01657-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 1 10 09 |
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10.1186/s13014-020-01657-6 doi (DE-627)SPR040928403 (SPR)s13014-020-01657-6-e DE-627 ger DE-627 rakwb eng 610 ASE Nierer, Lukas verfasserin aut Radiotherapy in oncological emergencies: fast-track treatment planning 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. Emergency radiation treatment (dpeaa)DE-He213 Treatment planning on diagnostic CT (dpeaa)DE-He213 Fast treatment planning (dpeaa)DE-He213 Rapid planning (dpeaa)DE-He213 Emergency RT workflow (dpeaa)DE-He213 Walter, Franziska verfasserin aut Niyazi, Maximilian verfasserin aut Shpani, Roel verfasserin aut Landry, Guillaume verfasserin aut Marschner, Sebastian verfasserin aut von Bestenbostel, Rieke verfasserin aut Dinkel, Dominika verfasserin aut Essenbach, Gabriela verfasserin aut Reiner, Michael verfasserin aut Belka, Claus verfasserin aut Corradini, Stefanie verfasserin aut Enthalten in Radiation oncology London : BioMed Central, 2006 15(2020), 1 vom: 10. Sept. (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:15 year:2020 number:1 day:10 month:09 https://dx.doi.org/10.1186/s13014-020-01657-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2020 1 10 09 |
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Radiotherapy in oncological emergencies: fast-track treatment planning |
| abstract |
Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. |
| abstractGer |
Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. |
| abstract_unstemmed |
Background and purpose To report on our clinical experience with a newly implemented workflow for radiotherapy (RT) emergency treatments, which allows for a fast treatment application outside the regular working-hours, and its clinical applicability. Methods Treatment planning of 18 emergency RT patients was carried out using diagnostic computed tomography (CT) without a dedicated RT simulation CT. The cone-beam CT (CBCT) deviations of the first RT treatment were analyzed regarding setup accuracy. Furthermore, feasibility of the “fast-track” workflow was evaluated with respect to dose deviations caused by different Hounsfield unit (HU) to relative electron density (rED) calibrations and RT treatment couch surface shapes via 3D gamma index analysis of exemplary treatment plans. The dosimetric uncertainty introduced by different CT calibrations was quantified. Results Mean patient setup vs. CBCT isocenter deviations were (0.49 ± 0.44) cm (x), (2.68 ± 1.63) cm (y) and (1.80 ± 1.06) cm (z) for lateral, longitudinal and vertical directions, respectively. Three out of four dose comparisons between the emergency RT plan calculated on the diagnostic CT and the same plan calculated on the treatment planning CT showed clinically acceptable gamma passing rates, when correcting for surface artifacts. The maximum difference of rED was 0.054, while most parts of the CT calibration curves coincided well. Conclusion In an emergency RT setting, the use of diagnostic CT data for treatment planning might be time-saving and was shown to be suitable for many cases, considering reproducibility of patient setup, accuracy of initial patient setup and accuracy of dose-calculation. |
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| title_short |
Radiotherapy in oncological emergencies: fast-track treatment planning |
| url |
https://dx.doi.org/10.1186/s13014-020-01657-6 |
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| author2 |
Walter, Franziska Niyazi, Maximilian Shpani, Roel Landry, Guillaume Marschner, Sebastian von Bestenbostel, Rieke Dinkel, Dominika Essenbach, Gabriela Reiner, Michael Belka, Claus Corradini, Stefanie |
| author2Str |
Walter, Franziska Niyazi, Maximilian Shpani, Roel Landry, Guillaume Marschner, Sebastian von Bestenbostel, Rieke Dinkel, Dominika Essenbach, Gabriela Reiner, Michael Belka, Claus Corradini, Stefanie |
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| doi_str |
10.1186/s13014-020-01657-6 |
| up_date |
2024-07-03T19:09:35.266Z |
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