Cargando…
Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization
Standard of care radiotherapy (RT) doses have been developed as a one-size-fits all approach designed to maximize tumor control rates across a population. Although this has led to high control rates for head and neck cancer with 66–70 Gy, this is done without considering patient heterogeneity. We pr...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622616/ https://www.ncbi.nlm.nih.gov/pubmed/34834476 http://dx.doi.org/10.3390/jpm11111124 |
_version_ | 1784605735404961792 |
---|---|
author | Zahid, Mohammad U. Mohamed, Abdallah S. R. Caudell, Jimmy J. Harrison, Louis B. Fuller, Clifton D. Moros, Eduardo G. Enderling, Heiko |
author_facet | Zahid, Mohammad U. Mohamed, Abdallah S. R. Caudell, Jimmy J. Harrison, Louis B. Fuller, Clifton D. Moros, Eduardo G. Enderling, Heiko |
author_sort | Zahid, Mohammad U. |
collection | PubMed |
description | Standard of care radiotherapy (RT) doses have been developed as a one-size-fits all approach designed to maximize tumor control rates across a population. Although this has led to high control rates for head and neck cancer with 66–70 Gy, this is done without considering patient heterogeneity. We present a framework to estimate a personalized RT dose for individual patients, based on pre- and early on-treatment tumor volume dynamics—a dynamics-adapted radiotherapy dose (D(DARD)). We also present the results of an in silico trial of this dose personalization using retrospective data from a combined cohort of n = 39 head and neck cancer patients from the Moffitt and MD Anderson Cancer Centers that received 66–70 Gy RT in 2–2.12 Gy weekday fractions. This trial was repeated constraining D(DARD) between (54, 82) Gy to test more moderate dose adjustment. D(DARD) was estimated to range from 8 to 186 Gy, and our in silico trial estimated that 77% of patients treated with standard of care were overdosed by an average dose of 39 Gy, and 23% underdosed by an average dose of 32 Gy. The in silico trial with constrained dose adjustment estimated that locoregional control could be improved by >10%. We demonstrated the feasibility of using early treatment tumor volume dynamics to inform dose personalization and stratification for dose escalation and de-escalation. These results demonstrate the potential to both de-escalate most patients, while still improving population-level control rates. |
format | Online Article Text |
id | pubmed-8622616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86226162021-11-27 Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization Zahid, Mohammad U. Mohamed, Abdallah S. R. Caudell, Jimmy J. Harrison, Louis B. Fuller, Clifton D. Moros, Eduardo G. Enderling, Heiko J Pers Med Article Standard of care radiotherapy (RT) doses have been developed as a one-size-fits all approach designed to maximize tumor control rates across a population. Although this has led to high control rates for head and neck cancer with 66–70 Gy, this is done without considering patient heterogeneity. We present a framework to estimate a personalized RT dose for individual patients, based on pre- and early on-treatment tumor volume dynamics—a dynamics-adapted radiotherapy dose (D(DARD)). We also present the results of an in silico trial of this dose personalization using retrospective data from a combined cohort of n = 39 head and neck cancer patients from the Moffitt and MD Anderson Cancer Centers that received 66–70 Gy RT in 2–2.12 Gy weekday fractions. This trial was repeated constraining D(DARD) between (54, 82) Gy to test more moderate dose adjustment. D(DARD) was estimated to range from 8 to 186 Gy, and our in silico trial estimated that 77% of patients treated with standard of care were overdosed by an average dose of 39 Gy, and 23% underdosed by an average dose of 32 Gy. The in silico trial with constrained dose adjustment estimated that locoregional control could be improved by >10%. We demonstrated the feasibility of using early treatment tumor volume dynamics to inform dose personalization and stratification for dose escalation and de-escalation. These results demonstrate the potential to both de-escalate most patients, while still improving population-level control rates. MDPI 2021-11-01 /pmc/articles/PMC8622616/ /pubmed/34834476 http://dx.doi.org/10.3390/jpm11111124 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zahid, Mohammad U. Mohamed, Abdallah S. R. Caudell, Jimmy J. Harrison, Louis B. Fuller, Clifton D. Moros, Eduardo G. Enderling, Heiko Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization |
title | Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization |
title_full | Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization |
title_fullStr | Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization |
title_full_unstemmed | Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization |
title_short | Dynamics-Adapted Radiotherapy Dose (DARD) for Head and Neck Cancer Radiotherapy Dose Personalization |
title_sort | dynamics-adapted radiotherapy dose (dard) for head and neck cancer radiotherapy dose personalization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622616/ https://www.ncbi.nlm.nih.gov/pubmed/34834476 http://dx.doi.org/10.3390/jpm11111124 |
work_keys_str_mv | AT zahidmohammadu dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization AT mohamedabdallahsr dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization AT caudelljimmyj dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization AT harrisonlouisb dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization AT fullercliftond dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization AT moroseduardog dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization AT enderlingheiko dynamicsadaptedradiotherapydosedardforheadandneckcancerradiotherapydosepersonalization |