Real-time 4DMRI-based internal target volume definition for moving lung tumors
Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volume...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rabe, Moritz - 1992- [verfasserIn] Thieke, Christian - 1970- [verfasserIn] Düsberg, Mathias [verfasserIn] Neppl, Sebastian [verfasserIn] Gerum, Sabine - 1979- [verfasserIn] Reiner, Michael [verfasserIn] Nicolay, Nils [verfasserIn] Schlemmer, Heinz-Peter - 1961- [verfasserIn] Debus, Jürgen - 1964- [verfasserIn] Dinkel, Julien - 1978- [verfasserIn] Landry, Guillaume [verfasserIn] Parodi, Katia - 1975- [verfasserIn] Belka, Claus [verfasserIn] Kurz, Christopher - 1986- [verfasserIn] Kamp, Florian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
19 January 2020 |
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| Schlagwörter: |
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| Anmerkung: |
Gesehen am 16.06.2020 |
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| Umfang: |
12 |
| Übergeordnetes Werk: |
Enthalten in: Medical physics - Hoboken, NJ : Wiley, 1974, 47(2020), 4, Seite 1431-1442 |
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| Übergeordnetes Werk: |
volume:47 ; year:2020 ; number:4 ; pages:1431-1442 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1002/mp.14023 |
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| Katalog-ID: |
1700628364 |
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| 245 | 1 | 0 | |a Real-time 4DMRI-based internal target volume definition for moving lung tumors |c Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp |
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| 520 | |a Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. | ||
| 650 | 4 | |a 4DMRI | |
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| 650 | 4 | |a ITV | |
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| 650 | 4 | |a motion management | |
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10.1002/mp.14023 doi (DE-627)1700628364 (DE-599)KXP1700628364 (OCoLC)1341339470 DE-627 ger DE-627 rda eng Rabe, Moritz 1992- verfasserin (DE-588)1212042719 (DE-627)1700629069 aut Real-time 4DMRI-based internal target volume definition for moving lung tumors Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp 19 January 2020 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.06.2020 Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. 4DMRI interfractional changes ITV lung tumor mid-ventilation motion management Thieke, Christian 1970- verfasserin (DE-588)129347396 (DE-627)394260066 (DE-576)297612417 aut Düsberg, Mathias verfasserin aut Neppl, Sebastian verfasserin aut Gerum, Sabine 1979- verfasserin (DE-588)1053573359 (DE-627)790307286 (DE-576)409521531 aut Reiner, Michael verfasserin (DE-588)1131665732 (DE-627)886309832 (DE-576)488370825 aut Nicolay, Nils verfasserin (DE-588)136200834 (DE-627)694181277 (DE-576)279367880 aut Schlemmer, Heinz-Peter 1961- verfasserin (DE-588)1025559967 (DE-627)722927142 (DE-576)17334805X aut Debus, Jürgen 1964- verfasserin (DE-588)1022671421 (DE-627)717025780 (DE-576)365774944 aut Dinkel, Julien 1978- verfasserin (DE-588)140755632 (DE-627)621592773 (DE-576)320647374 aut Landry, Guillaume verfasserin aut Parodi, Katia 1975- verfasserin (DE-588)129736996 (DE-627)707308917 (DE-576)188641688 aut Belka, Claus verfasserin (DE-588)143654829 (DE-627)65383604X (DE-576)176701877 aut Kurz, Christopher 1986- verfasserin (DE-588)1059754401 (DE-627)798803983 (DE-576)415808766 aut Kamp, Florian verfasserin aut Enthalten in Medical physics Hoboken, NJ : Wiley, 1974 47(2020), 4, Seite 1431-1442 Online-Ressource (DE-627)265784867 (DE-600)1466421-5 (DE-576)074891243 2473-4209 nnns volume:47 year:2020 number:4 pages:1431-1442 extent:12 https://doi.org/10.1002/mp.14023 Verlag Resolving-System lizenzpflichtig Volltext https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14023 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 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_2008 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_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2020 4 1431-1442 12 2013 01 DE-16-250 3687408205 00 --%%-- --%%-- --%%-- --%%-- l01 16-06-20 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_13 2013 01 DE-16-250 03 s s_12 2013 01 DE-16-250 04 p (DE-627)1515830888 Schlemmer, Heinz-Peter 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_8 2013 01 DE-16-250 05 p (DE-627)1435777980 Debus, Jürgen 2013 01 DE-16-250 05 k (DE-627)1416741399 Radiologische Universitätsklinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_9 |
| spelling |
10.1002/mp.14023 doi (DE-627)1700628364 (DE-599)KXP1700628364 (OCoLC)1341339470 DE-627 ger DE-627 rda eng Rabe, Moritz 1992- verfasserin (DE-588)1212042719 (DE-627)1700629069 aut Real-time 4DMRI-based internal target volume definition for moving lung tumors Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp 19 January 2020 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.06.2020 Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. 4DMRI interfractional changes ITV lung tumor mid-ventilation motion management Thieke, Christian 1970- verfasserin (DE-588)129347396 (DE-627)394260066 (DE-576)297612417 aut Düsberg, Mathias verfasserin aut Neppl, Sebastian verfasserin aut Gerum, Sabine 1979- verfasserin (DE-588)1053573359 (DE-627)790307286 (DE-576)409521531 aut Reiner, Michael verfasserin (DE-588)1131665732 (DE-627)886309832 (DE-576)488370825 aut Nicolay, Nils verfasserin (DE-588)136200834 (DE-627)694181277 (DE-576)279367880 aut Schlemmer, Heinz-Peter 1961- verfasserin (DE-588)1025559967 (DE-627)722927142 (DE-576)17334805X aut Debus, Jürgen 1964- verfasserin (DE-588)1022671421 (DE-627)717025780 (DE-576)365774944 aut Dinkel, Julien 1978- verfasserin (DE-588)140755632 (DE-627)621592773 (DE-576)320647374 aut Landry, Guillaume verfasserin aut Parodi, Katia 1975- verfasserin (DE-588)129736996 (DE-627)707308917 (DE-576)188641688 aut Belka, Claus verfasserin (DE-588)143654829 (DE-627)65383604X (DE-576)176701877 aut Kurz, Christopher 1986- verfasserin (DE-588)1059754401 (DE-627)798803983 (DE-576)415808766 aut Kamp, Florian verfasserin aut Enthalten in Medical physics Hoboken, NJ : Wiley, 1974 47(2020), 4, Seite 1431-1442 Online-Ressource (DE-627)265784867 (DE-600)1466421-5 (DE-576)074891243 2473-4209 nnns volume:47 year:2020 number:4 pages:1431-1442 extent:12 https://doi.org/10.1002/mp.14023 Verlag Resolving-System lizenzpflichtig Volltext https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14023 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 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_2008 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_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2020 4 1431-1442 12 2013 01 DE-16-250 3687408205 00 --%%-- --%%-- --%%-- --%%-- l01 16-06-20 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_13 2013 01 DE-16-250 03 s s_12 2013 01 DE-16-250 04 p (DE-627)1515830888 Schlemmer, Heinz-Peter 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_8 2013 01 DE-16-250 05 p (DE-627)1435777980 Debus, Jürgen 2013 01 DE-16-250 05 k (DE-627)1416741399 Radiologische Universitätsklinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_9 |
| allfields_unstemmed |
10.1002/mp.14023 doi (DE-627)1700628364 (DE-599)KXP1700628364 (OCoLC)1341339470 DE-627 ger DE-627 rda eng Rabe, Moritz 1992- verfasserin (DE-588)1212042719 (DE-627)1700629069 aut Real-time 4DMRI-based internal target volume definition for moving lung tumors Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp 19 January 2020 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.06.2020 Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. 4DMRI interfractional changes ITV lung tumor mid-ventilation motion management Thieke, Christian 1970- verfasserin (DE-588)129347396 (DE-627)394260066 (DE-576)297612417 aut Düsberg, Mathias verfasserin aut Neppl, Sebastian verfasserin aut Gerum, Sabine 1979- verfasserin (DE-588)1053573359 (DE-627)790307286 (DE-576)409521531 aut Reiner, Michael verfasserin (DE-588)1131665732 (DE-627)886309832 (DE-576)488370825 aut Nicolay, Nils verfasserin (DE-588)136200834 (DE-627)694181277 (DE-576)279367880 aut Schlemmer, Heinz-Peter 1961- verfasserin (DE-588)1025559967 (DE-627)722927142 (DE-576)17334805X aut Debus, Jürgen 1964- verfasserin (DE-588)1022671421 (DE-627)717025780 (DE-576)365774944 aut Dinkel, Julien 1978- verfasserin (DE-588)140755632 (DE-627)621592773 (DE-576)320647374 aut Landry, Guillaume verfasserin aut Parodi, Katia 1975- verfasserin (DE-588)129736996 (DE-627)707308917 (DE-576)188641688 aut Belka, Claus verfasserin (DE-588)143654829 (DE-627)65383604X (DE-576)176701877 aut Kurz, Christopher 1986- verfasserin (DE-588)1059754401 (DE-627)798803983 (DE-576)415808766 aut Kamp, Florian verfasserin aut Enthalten in Medical physics Hoboken, NJ : Wiley, 1974 47(2020), 4, Seite 1431-1442 Online-Ressource (DE-627)265784867 (DE-600)1466421-5 (DE-576)074891243 2473-4209 nnns volume:47 year:2020 number:4 pages:1431-1442 extent:12 https://doi.org/10.1002/mp.14023 Verlag Resolving-System lizenzpflichtig Volltext https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14023 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 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_2008 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_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2020 4 1431-1442 12 2013 01 DE-16-250 3687408205 00 --%%-- --%%-- --%%-- --%%-- l01 16-06-20 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_13 2013 01 DE-16-250 03 s s_12 2013 01 DE-16-250 04 p (DE-627)1515830888 Schlemmer, Heinz-Peter 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_8 2013 01 DE-16-250 05 p (DE-627)1435777980 Debus, Jürgen 2013 01 DE-16-250 05 k (DE-627)1416741399 Radiologische Universitätsklinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_9 |
| allfieldsGer |
10.1002/mp.14023 doi (DE-627)1700628364 (DE-599)KXP1700628364 (OCoLC)1341339470 DE-627 ger DE-627 rda eng Rabe, Moritz 1992- verfasserin (DE-588)1212042719 (DE-627)1700629069 aut Real-time 4DMRI-based internal target volume definition for moving lung tumors Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp 19 January 2020 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.06.2020 Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. 4DMRI interfractional changes ITV lung tumor mid-ventilation motion management Thieke, Christian 1970- verfasserin (DE-588)129347396 (DE-627)394260066 (DE-576)297612417 aut Düsberg, Mathias verfasserin aut Neppl, Sebastian verfasserin aut Gerum, Sabine 1979- verfasserin (DE-588)1053573359 (DE-627)790307286 (DE-576)409521531 aut Reiner, Michael verfasserin (DE-588)1131665732 (DE-627)886309832 (DE-576)488370825 aut Nicolay, Nils verfasserin (DE-588)136200834 (DE-627)694181277 (DE-576)279367880 aut Schlemmer, Heinz-Peter 1961- verfasserin (DE-588)1025559967 (DE-627)722927142 (DE-576)17334805X aut Debus, Jürgen 1964- verfasserin (DE-588)1022671421 (DE-627)717025780 (DE-576)365774944 aut Dinkel, Julien 1978- verfasserin (DE-588)140755632 (DE-627)621592773 (DE-576)320647374 aut Landry, Guillaume verfasserin aut Parodi, Katia 1975- verfasserin (DE-588)129736996 (DE-627)707308917 (DE-576)188641688 aut Belka, Claus verfasserin (DE-588)143654829 (DE-627)65383604X (DE-576)176701877 aut Kurz, Christopher 1986- verfasserin (DE-588)1059754401 (DE-627)798803983 (DE-576)415808766 aut Kamp, Florian verfasserin aut Enthalten in Medical physics Hoboken, NJ : Wiley, 1974 47(2020), 4, Seite 1431-1442 Online-Ressource (DE-627)265784867 (DE-600)1466421-5 (DE-576)074891243 2473-4209 nnns volume:47 year:2020 number:4 pages:1431-1442 extent:12 https://doi.org/10.1002/mp.14023 Verlag Resolving-System lizenzpflichtig Volltext https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14023 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 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_2008 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_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2020 4 1431-1442 12 2013 01 DE-16-250 3687408205 00 --%%-- --%%-- --%%-- --%%-- l01 16-06-20 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_13 2013 01 DE-16-250 03 s s_12 2013 01 DE-16-250 04 p (DE-627)1515830888 Schlemmer, Heinz-Peter 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_8 2013 01 DE-16-250 05 p (DE-627)1435777980 Debus, Jürgen 2013 01 DE-16-250 05 k (DE-627)1416741399 Radiologische Universitätsklinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_9 |
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10.1002/mp.14023 doi (DE-627)1700628364 (DE-599)KXP1700628364 (OCoLC)1341339470 DE-627 ger DE-627 rda eng Rabe, Moritz 1992- verfasserin (DE-588)1212042719 (DE-627)1700629069 aut Real-time 4DMRI-based internal target volume definition for moving lung tumors Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp 19 January 2020 12 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 16.06.2020 Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. 4DMRI interfractional changes ITV lung tumor mid-ventilation motion management Thieke, Christian 1970- verfasserin (DE-588)129347396 (DE-627)394260066 (DE-576)297612417 aut Düsberg, Mathias verfasserin aut Neppl, Sebastian verfasserin aut Gerum, Sabine 1979- verfasserin (DE-588)1053573359 (DE-627)790307286 (DE-576)409521531 aut Reiner, Michael verfasserin (DE-588)1131665732 (DE-627)886309832 (DE-576)488370825 aut Nicolay, Nils verfasserin (DE-588)136200834 (DE-627)694181277 (DE-576)279367880 aut Schlemmer, Heinz-Peter 1961- verfasserin (DE-588)1025559967 (DE-627)722927142 (DE-576)17334805X aut Debus, Jürgen 1964- verfasserin (DE-588)1022671421 (DE-627)717025780 (DE-576)365774944 aut Dinkel, Julien 1978- verfasserin (DE-588)140755632 (DE-627)621592773 (DE-576)320647374 aut Landry, Guillaume verfasserin aut Parodi, Katia 1975- verfasserin (DE-588)129736996 (DE-627)707308917 (DE-576)188641688 aut Belka, Claus verfasserin (DE-588)143654829 (DE-627)65383604X (DE-576)176701877 aut Kurz, Christopher 1986- verfasserin (DE-588)1059754401 (DE-627)798803983 (DE-576)415808766 aut Kamp, Florian verfasserin aut Enthalten in Medical physics Hoboken, NJ : Wiley, 1974 47(2020), 4, Seite 1431-1442 Online-Ressource (DE-627)265784867 (DE-600)1466421-5 (DE-576)074891243 2473-4209 nnns volume:47 year:2020 number:4 pages:1431-1442 extent:12 https://doi.org/10.1002/mp.14023 Verlag Resolving-System lizenzpflichtig Volltext https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.14023 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 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_2008 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_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2190 GBV_ILN_2232 GBV_ILN_2336 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 47 2020 4 1431-1442 12 2013 01 DE-16-250 3687408205 00 --%%-- --%%-- --%%-- --%%-- l01 16-06-20 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_13 2013 01 DE-16-250 03 s s_12 2013 01 DE-16-250 04 p (DE-627)1515830888 Schlemmer, Heinz-Peter 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_8 2013 01 DE-16-250 05 p (DE-627)1435777980 Debus, Jürgen 2013 01 DE-16-250 05 k (DE-627)1416741399 Radiologische Universitätsklinik 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_9 |
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Rabe, Moritz @@aut@@ Thieke, Christian @@aut@@ Düsberg, Mathias @@aut@@ Neppl, Sebastian @@aut@@ Gerum, Sabine @@aut@@ Reiner, Michael @@aut@@ Nicolay, Nils @@aut@@ Schlemmer, Heinz-Peter @@aut@@ Debus, Jürgen @@aut@@ Dinkel, Julien @@aut@@ Landry, Guillaume @@aut@@ Parodi, Katia @@aut@@ Belka, Claus @@aut@@ Kurz, Christopher @@aut@@ Kamp, Florian @@aut@@ |
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Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. 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| standort_str_mv |
--%%-- |
| standort_iln_str_mv |
2013:--%%-- DE-16-250:--%%-- |
| author |
Rabe, Moritz 1992- |
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Real-time 4DMRI-based internal target volume definition for moving lung tumors |
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Real-time 4DMRI-based internal target volume definition for moving lung tumors Moritz Rabe, Christian Thieke, Mathias Düsberg, Sebastian Neppl, Sabine Gerum, Michael Reiner, Nils Henrik Nicolay, Heinz-Peter Schlemmer, Jürgen Debus, Julien Dinkel, Guillaume Landry, Katia Parodi, Claus Belka, Christopher Kurz, Florian Kamp |
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real-time 4dmri-based internal target volume definition for moving lung tumors |
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Real-time 4DMRI-based internal target volume definition for moving lung tumors |
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Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. Gesehen am 16.06.2020 |
| abstractGer |
Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. Gesehen am 16.06.2020 |
| abstract_unstemmed |
Purpose In photon radiotherapy, respiratory-induced target motion can be accounted for by internal target volumes (ITV) or mid-ventilation target volumes (midV) defined on the basis of four-dimensional computed tomography (4D-CT). Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts. Gesehen am 16.06.2020 |
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Real-time 4DMRI-based internal target volume definition for moving lung tumors |
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Intrinsic limitations of these approaches can result in target volumes that are not representative for the gross tumor volume (GTV) motion over the course of treatment. To address these limitations, we propose a novel patient-specific ITV definition method based on real-time 4D magnetic resonance imaging (rt-4DMRI). Methods Three lung cancer patients underwent weekly rt-4DMRI scans. A total of 24 datasets were included in this retrospective study. The GTV was contoured on breath-hold MR images and propagated to all rt-4DMRI images by deformable image registration. Different targets were created for the first (reference) imaging sessions: ITVs encompassing all GTV positions over the complete (ITV) or partial acquisition time (), ITVs including only voxels with a GTV probability-of-presence (POP) of at least 5% () or 10% (), and the mid-ventilation GTV position. Reference planning target volumes () were created by adding margins around the ITVs and midV target volumes. The geometrical overlap of the with from the six to eight subsequent imaging sessions on days n was quantified in terms of the Dice similarity coefficient (DSC), sensitivity [SE: ()/] and precision [PRE: ()/] as surrogates for target coverage and normal tissue sparing. Results Patient-specific analysis yielded a high variance of the overlap values of , when different periods within the reference imaging session were sampled. The mid-ventilation-based PTVs were smaller than the ITV-based PTVs. While the SE was high for patients with small breathing pattern variations, changes of the median breathing amplitudes in different imaging sessions led to inferior SE values for the mid-ventilation PTV for one patient. In contrast, and showed higher SE values with a higher robustness against interfractional changes, at the cost of larger target volumes. Conclusions The results indicate that rt-4DMRI could be valuable for the definition of target volumes based on the GTV POP to achieve a higher robustness against interfractional changes than feasible with today’s 4D-CT-based target definition concepts.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">4DMRI</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">interfractional changes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ITV</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">lung tumor</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mid-ventilation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">motion management</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Thieke, Christian</subfield><subfield code="d">1970-</subfield><subfield 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