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FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer
Concurrent chemoradiotherapy represents one of the most used strategies in the curative treatment of patients with head and neck (HNC) cancer. Locoregional failure is the predominant recurrence pattern. Tumor hypoxia belongs to the main cause of treatment failure. Positron emission tomography (PET)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410424/ https://www.ncbi.nlm.nih.gov/pubmed/36013194 http://dx.doi.org/10.3390/jpm12081245 |
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author | Dolezel, Martin Slavik, Marek Blazek, Tomas Kazda, Tomas Koranda, Pavel Veverkova, Lucia Burkon, Petr Cvek, Jakub |
author_facet | Dolezel, Martin Slavik, Marek Blazek, Tomas Kazda, Tomas Koranda, Pavel Veverkova, Lucia Burkon, Petr Cvek, Jakub |
author_sort | Dolezel, Martin |
collection | PubMed |
description | Concurrent chemoradiotherapy represents one of the most used strategies in the curative treatment of patients with head and neck (HNC) cancer. Locoregional failure is the predominant recurrence pattern. Tumor hypoxia belongs to the main cause of treatment failure. Positron emission tomography (PET) using hypoxia radiotracers has been studied extensively and has proven its feasibility and reproducibility to detect tumor hypoxia. A number of studies confirmed that the uptake of FMISO in the recurrent region is significantly higher than that in the non-recurrent region. The escalation of dose to hypoxic tumors may improve outcomes. The technical feasibility of optimizing radiotherapeutic plans has been well documented. To define the hypoxic tumour volume, there are two main approaches: dose painting by contour (DPBC) or by number (DPBN) based on PET images. Despite amazing technological advances, precision in target coverage, and surrounding tissue sparring, radiation oncology is still not considered a targeted treatment if the “one dose fits all” approach is used. Using FMISO and other hypoxia tracers may be an important step for individualizing radiation treatment and together with future radiomic principles and a possible genome-based adjusting dose, will move radiation oncology into the precise and personalized era. |
format | Online Article Text |
id | pubmed-9410424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94104242022-08-26 FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer Dolezel, Martin Slavik, Marek Blazek, Tomas Kazda, Tomas Koranda, Pavel Veverkova, Lucia Burkon, Petr Cvek, Jakub J Pers Med Review Concurrent chemoradiotherapy represents one of the most used strategies in the curative treatment of patients with head and neck (HNC) cancer. Locoregional failure is the predominant recurrence pattern. Tumor hypoxia belongs to the main cause of treatment failure. Positron emission tomography (PET) using hypoxia radiotracers has been studied extensively and has proven its feasibility and reproducibility to detect tumor hypoxia. A number of studies confirmed that the uptake of FMISO in the recurrent region is significantly higher than that in the non-recurrent region. The escalation of dose to hypoxic tumors may improve outcomes. The technical feasibility of optimizing radiotherapeutic plans has been well documented. To define the hypoxic tumour volume, there are two main approaches: dose painting by contour (DPBC) or by number (DPBN) based on PET images. Despite amazing technological advances, precision in target coverage, and surrounding tissue sparring, radiation oncology is still not considered a targeted treatment if the “one dose fits all” approach is used. Using FMISO and other hypoxia tracers may be an important step for individualizing radiation treatment and together with future radiomic principles and a possible genome-based adjusting dose, will move radiation oncology into the precise and personalized era. MDPI 2022-07-29 /pmc/articles/PMC9410424/ /pubmed/36013194 http://dx.doi.org/10.3390/jpm12081245 Text en © 2022 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 | Review Dolezel, Martin Slavik, Marek Blazek, Tomas Kazda, Tomas Koranda, Pavel Veverkova, Lucia Burkon, Petr Cvek, Jakub FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer |
title | FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer |
title_full | FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer |
title_fullStr | FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer |
title_full_unstemmed | FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer |
title_short | FMISO-Based Adaptive Radiotherapy in Head and Neck Cancer |
title_sort | fmiso-based adaptive radiotherapy in head and neck cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410424/ https://www.ncbi.nlm.nih.gov/pubmed/36013194 http://dx.doi.org/10.3390/jpm12081245 |
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