Cargando…
Predicting response to radiotherapy in tumors with PET/CT: when and how?
Radiotherapy is one of the main methods for tumor treatment, with the improved radiotherapy delivery technique to combat cancer, there is a growing interest for finding effective and feasible ways to predict tumor radiosensitivity. Based on a series of changes in metabolism, microvessel density, hyp...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798842/ https://www.ncbi.nlm.nih.gov/pubmed/35117653 http://dx.doi.org/10.21037/tcr.2020.03.16 |
_version_ | 1784641913286033408 |
---|---|
author | Shen, Li-Fang Zhou, Shui-Hong Yu, Qi |
author_facet | Shen, Li-Fang Zhou, Shui-Hong Yu, Qi |
author_sort | Shen, Li-Fang |
collection | PubMed |
description | Radiotherapy is one of the main methods for tumor treatment, with the improved radiotherapy delivery technique to combat cancer, there is a growing interest for finding effective and feasible ways to predict tumor radiosensitivity. Based on a series of changes in metabolism, microvessel density, hypoxic microenvironment, and cytokines of tumors after radiotherapy, a variety of radiosensitivity detection methods have been studied. Among the detection methods, positron emission tomography-computed tomography (PET/CT) is a feasible tool for response evaluation following definitive radiotherapy for cancers with a high negative predictive value. The prognostic or predictive value of PET/CT is currently being studied widely. However, there are many unresolved issues, such as the optimal probe of PET/CT for radiosensitivity prediction, the selection of the most useful PET/CT parameters and their optimal cut-offs such as total lesion glycolysis (TLG), metabolic tumor volume (MTV) and standardized uptake value (SUV), and the optimal timing of PET/CT pre-treatment, during or following RT. Different radiosensitivity of tumors, modes of radiotherapy action and fraction scheduling may complicate the appropriate choice. In this study, we will discuss the diverse methods for evaluating radiosensitivity, and will also focus on the selection of the optimal probe, timing, cut-offs and parameters of PET/CT for evaluating the radiotherapy response. |
format | Online Article Text |
id | pubmed-8798842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-87988422022-02-02 Predicting response to radiotherapy in tumors with PET/CT: when and how? Shen, Li-Fang Zhou, Shui-Hong Yu, Qi Transl Cancer Res Review Article Radiotherapy is one of the main methods for tumor treatment, with the improved radiotherapy delivery technique to combat cancer, there is a growing interest for finding effective and feasible ways to predict tumor radiosensitivity. Based on a series of changes in metabolism, microvessel density, hypoxic microenvironment, and cytokines of tumors after radiotherapy, a variety of radiosensitivity detection methods have been studied. Among the detection methods, positron emission tomography-computed tomography (PET/CT) is a feasible tool for response evaluation following definitive radiotherapy for cancers with a high negative predictive value. The prognostic or predictive value of PET/CT is currently being studied widely. However, there are many unresolved issues, such as the optimal probe of PET/CT for radiosensitivity prediction, the selection of the most useful PET/CT parameters and their optimal cut-offs such as total lesion glycolysis (TLG), metabolic tumor volume (MTV) and standardized uptake value (SUV), and the optimal timing of PET/CT pre-treatment, during or following RT. Different radiosensitivity of tumors, modes of radiotherapy action and fraction scheduling may complicate the appropriate choice. In this study, we will discuss the diverse methods for evaluating radiosensitivity, and will also focus on the selection of the optimal probe, timing, cut-offs and parameters of PET/CT for evaluating the radiotherapy response. AME Publishing Company 2020-04 /pmc/articles/PMC8798842/ /pubmed/35117653 http://dx.doi.org/10.21037/tcr.2020.03.16 Text en 2020 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/. |
spellingShingle | Review Article Shen, Li-Fang Zhou, Shui-Hong Yu, Qi Predicting response to radiotherapy in tumors with PET/CT: when and how? |
title | Predicting response to radiotherapy in tumors with PET/CT: when and how? |
title_full | Predicting response to radiotherapy in tumors with PET/CT: when and how? |
title_fullStr | Predicting response to radiotherapy in tumors with PET/CT: when and how? |
title_full_unstemmed | Predicting response to radiotherapy in tumors with PET/CT: when and how? |
title_short | Predicting response to radiotherapy in tumors with PET/CT: when and how? |
title_sort | predicting response to radiotherapy in tumors with pet/ct: when and how? |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798842/ https://www.ncbi.nlm.nih.gov/pubmed/35117653 http://dx.doi.org/10.21037/tcr.2020.03.16 |
work_keys_str_mv | AT shenlifang predictingresponsetoradiotherapyintumorswithpetctwhenandhow AT zhoushuihong predictingresponsetoradiotherapyintumorswithpetctwhenandhow AT yuqi predictingresponsetoradiotherapyintumorswithpetctwhenandhow |