Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization

In this study, we intend to estimate the effects of normal tissue sparing between intensity modulated radiotherapy (IMRT) treatment plans generated with and without a dose volume (DV)-based physical cost function using equivalent uniform dose (EUD). Twenty prostate cancer patients were retrospective...

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Main Authors: K Senthilkumar, K J Maria Das, K Balasubramanian, A C Deka, B R Patil
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Journal of Medical Physics
Subjects:
Online Access:http://www.jmp.org.in/article.asp?issn=0971-6203;year=2016;volume=41;issue=2;spage=123;epage=128;aulast=Senthilkumar
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author K Senthilkumar
K J Maria Das
K Balasubramanian
A C Deka
B R Patil
author_facet K Senthilkumar
K J Maria Das
K Balasubramanian
A C Deka
B R Patil
author_sort K Senthilkumar
collection DOAJ
description In this study, we intend to estimate the effects of normal tissue sparing between intensity modulated radiotherapy (IMRT) treatment plans generated with and without a dose volume (DV)-based physical cost function using equivalent uniform dose (EUD). Twenty prostate cancer patients were retrospectively selected for this study. For each patient, two IMRT plans were generated (i) EUD-based optimization with a DV-based physical cost function to control inhomogeneity (EUDWith DV) and (ii) EUD-based optimization without a DV-based physical cost function to allow inhomogeneity (EUDWithout DV). The generated plans were prescribed a dose of 72 Gy in 36 fractions to planning target volume (PTV). Mean dose, D30%, and D5%were evaluated for all organ at risk (OAR). Normal tissue complication probability was also calculated for all OARs using BioSuite software. The average volume of PTV for all patients was 103.02 ± 27 cm3. The PTV mean dose for EUDWith DVplans was 73.67 ± 1.7 Gy, whereas for EUDWithout DVplans was 80.42 ± 2.7 Gy. It was found that PTV volume receiving dose more than 115% of prescription dose was negligible in EUDWith DV plans, whereas it was 28% in EUDWithout DV plans. In almost all dosimetric parameters evaluated, dose to OARs in EUDWith DVplans was higher than in EUDWithout DVplans. Allowing inhomogeneous dose (EUDWithout DV) inside the target would achieve better normal tissue sparing compared to homogenous dose distribution (EUDWith DV). Hence, this inhomogeneous dose could be intentionally dumped on the high-risk volume to achieve high local control. Therefore, it was concluded that EUD optimized plans offer added advantage of less OAR dose as well as selectively boosting dose to gross tumor volume.
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spelling doaj.art-defca8ce994a482588e625b454dec38a2022-12-22T01:38:12ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132016-01-0141212312810.4103/0971-6203.181631Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimizationK SenthilkumarK J Maria DasK BalasubramanianA C DekaB R PatilIn this study, we intend to estimate the effects of normal tissue sparing between intensity modulated radiotherapy (IMRT) treatment plans generated with and without a dose volume (DV)-based physical cost function using equivalent uniform dose (EUD). Twenty prostate cancer patients were retrospectively selected for this study. For each patient, two IMRT plans were generated (i) EUD-based optimization with a DV-based physical cost function to control inhomogeneity (EUDWith DV) and (ii) EUD-based optimization without a DV-based physical cost function to allow inhomogeneity (EUDWithout DV). The generated plans were prescribed a dose of 72 Gy in 36 fractions to planning target volume (PTV). Mean dose, D30%, and D5%were evaluated for all organ at risk (OAR). Normal tissue complication probability was also calculated for all OARs using BioSuite software. The average volume of PTV for all patients was 103.02 ± 27 cm3. The PTV mean dose for EUDWith DVplans was 73.67 ± 1.7 Gy, whereas for EUDWithout DVplans was 80.42 ± 2.7 Gy. It was found that PTV volume receiving dose more than 115% of prescription dose was negligible in EUDWith DV plans, whereas it was 28% in EUDWithout DV plans. In almost all dosimetric parameters evaluated, dose to OARs in EUDWith DVplans was higher than in EUDWithout DVplans. Allowing inhomogeneous dose (EUDWithout DV) inside the target would achieve better normal tissue sparing compared to homogenous dose distribution (EUDWith DV). Hence, this inhomogeneous dose could be intentionally dumped on the high-risk volume to achieve high local control. Therefore, it was concluded that EUD optimized plans offer added advantage of less OAR dose as well as selectively boosting dose to gross tumor volume.http://www.jmp.org.in/article.asp?issn=0971-6203;year=2016;volume=41;issue=2;spage=123;epage=128;aulast=SenthilkumarBiological optimization; equivalent uniform dose; in-homogeneity; intensity modulated radiotherapy
spellingShingle K Senthilkumar
K J Maria Das
K Balasubramanian
A C Deka
B R Patil
Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization
Journal of Medical Physics
Biological optimization; equivalent uniform dose; in-homogeneity; intensity modulated radiotherapy
title Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization
title_full Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization
title_fullStr Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization
title_full_unstemmed Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization
title_short Estimation of the effects of normal tissue sparing using equivalent uniform dose-based optimization
title_sort estimation of the effects of normal tissue sparing using equivalent uniform dose based optimization
topic Biological optimization; equivalent uniform dose; in-homogeneity; intensity modulated radiotherapy
url http://www.jmp.org.in/article.asp?issn=0971-6203;year=2016;volume=41;issue=2;spage=123;epage=128;aulast=Senthilkumar
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