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Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review

RATIONALE: This systematic review aims to synthesise the outcomes of different strategies of incorporating functional biological markers in the radiation therapy plans of patients with glioblastoma to support clinicians and further research. METHODS: The systematic review protocol was registered on...

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Autores principales: Ryan, John T, Nakayama, Masao, Gleeson, Ian, Mannion, Liam, Geso, Moshi, Kelly, Jennifer, Ng, Sweet Ping, Hardcastle, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653002/
https://www.ncbi.nlm.nih.gov/pubmed/36371225
http://dx.doi.org/10.1186/s13014-022-02146-8
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author Ryan, John T
Nakayama, Masao
Gleeson, Ian
Mannion, Liam
Geso, Moshi
Kelly, Jennifer
Ng, Sweet Ping
Hardcastle, Nicholas
author_facet Ryan, John T
Nakayama, Masao
Gleeson, Ian
Mannion, Liam
Geso, Moshi
Kelly, Jennifer
Ng, Sweet Ping
Hardcastle, Nicholas
author_sort Ryan, John T
collection PubMed
description RATIONALE: This systematic review aims to synthesise the outcomes of different strategies of incorporating functional biological markers in the radiation therapy plans of patients with glioblastoma to support clinicians and further research. METHODS: The systematic review protocol was registered on PROSPERO (CRD42021221021). A structured search for publications was performed following PRISMA guidelines. Quality assessment was performed using the Newcastle–Ottawa Scale. Study characteristics, intervention methodology and outcomes were extracted using Covidence. Data analysis focused on radiation therapy target volumes, toxicity, dose distributions, recurrence and survival mapped to functional image-guided radiotherapy interventions. RESULTS: There were 5733 citations screened, with 53 citations (n = 32 studies) meeting review criteria. Studies compared standard radiation therapy planning volumes with functional image-derived volumes (n = 20 studies), treated radiation therapy volumes with recurrences (n = 15 studies), the impact on current standard target delineations (n = 9 studies), treated functional volumes and survival (n = 8 studies), functionally guided dose escalation (n = 8 studies), radiomics (n = 4 studies) and optimal organ at risk sparing (n = 3 studies). The approaches to target outlining and dose escalation were heterogeneous. The analysis indicated an improvement in median overall survival of over two months compared with a historical control group. Simultaneous-integrated-boost dose escalation of 72–76 Gy in 30 fractions appeared to have an acceptable toxicity profile when delivered with inverse planning to a volume smaller than 100 cm[Formula: see text] . CONCLUSION: There was significant heterogeneity between the approaches taken by different study groups when implementing functional image-guided radiotherapy. It is recommended that functional imaging data be incorporated into the gross tumour volume with appropriate technology-specific margins used to create the clinical target volume when designing radiation therapy plans for patients with glioblastoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-022-02146-8.
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spelling pubmed-96530022022-11-15 Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review Ryan, John T Nakayama, Masao Gleeson, Ian Mannion, Liam Geso, Moshi Kelly, Jennifer Ng, Sweet Ping Hardcastle, Nicholas Radiat Oncol Review RATIONALE: This systematic review aims to synthesise the outcomes of different strategies of incorporating functional biological markers in the radiation therapy plans of patients with glioblastoma to support clinicians and further research. METHODS: The systematic review protocol was registered on PROSPERO (CRD42021221021). A structured search for publications was performed following PRISMA guidelines. Quality assessment was performed using the Newcastle–Ottawa Scale. Study characteristics, intervention methodology and outcomes were extracted using Covidence. Data analysis focused on radiation therapy target volumes, toxicity, dose distributions, recurrence and survival mapped to functional image-guided radiotherapy interventions. RESULTS: There were 5733 citations screened, with 53 citations (n = 32 studies) meeting review criteria. Studies compared standard radiation therapy planning volumes with functional image-derived volumes (n = 20 studies), treated radiation therapy volumes with recurrences (n = 15 studies), the impact on current standard target delineations (n = 9 studies), treated functional volumes and survival (n = 8 studies), functionally guided dose escalation (n = 8 studies), radiomics (n = 4 studies) and optimal organ at risk sparing (n = 3 studies). The approaches to target outlining and dose escalation were heterogeneous. The analysis indicated an improvement in median overall survival of over two months compared with a historical control group. Simultaneous-integrated-boost dose escalation of 72–76 Gy in 30 fractions appeared to have an acceptable toxicity profile when delivered with inverse planning to a volume smaller than 100 cm[Formula: see text] . CONCLUSION: There was significant heterogeneity between the approaches taken by different study groups when implementing functional image-guided radiotherapy. It is recommended that functional imaging data be incorporated into the gross tumour volume with appropriate technology-specific margins used to create the clinical target volume when designing radiation therapy plans for patients with glioblastoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-022-02146-8. BioMed Central 2022-11-12 /pmc/articles/PMC9653002/ /pubmed/36371225 http://dx.doi.org/10.1186/s13014-022-02146-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Ryan, John T
Nakayama, Masao
Gleeson, Ian
Mannion, Liam
Geso, Moshi
Kelly, Jennifer
Ng, Sweet Ping
Hardcastle, Nicholas
Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
title Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
title_full Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
title_fullStr Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
title_full_unstemmed Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
title_short Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
title_sort functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653002/
https://www.ncbi.nlm.nih.gov/pubmed/36371225
http://dx.doi.org/10.1186/s13014-022-02146-8
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