Aldawsari, A. orcid.org/0000-0002-0355-8232, Al-Qaisieh, B., Broadbent, D.A. et al. (3 more authors) (Cover date: July 2023) The Role and Potential of Using Quantitative Magnetic Resonance Imaging Biomarkers for Imaging Guidance in Brain Cancer Radiotherapy Treatment Planning: A Systematic Review. Physics and Imaging in Radiation Oncology, 27. 100476. ISSN 2405-6316
Abstract
Background and purpose
Improving the accuracy of brain tumour radiotherapy (RT) treatment planning is important to optimise patient outcomes. This systematic review investigates primary studies providing clinical evidence for the integration of quantitative magnetic resonance imaging (qMRI) biomarkers and MRI radiomics to optimise brain tumour RT planning.
Materials and methods
PubMed, Scopus, Embase and Web of Science databases were searched for all years until June 21, 2022. The search identified original articles demonstrating clinical evidence for the use of qMRI biomarkers and MRI radiomics for the optimization of brain cancer RT planning. Relevant information was extracted and tabulated, including qMRI metrics and techniques, impact on RT plan optimization and changes in target and normal tissue contouring and dose distribution.
Results
Nineteen articles met the inclusion criteria. Studies were grouped according to the qMRI biomarkers into: 1) diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI; five studies); 2) diffusion tensor imaging (DTI; seven studies); and 3) MR spectroscopic imaging (MRSI; seven studies). No relevant MRI-based radiomics studies were identified. Integration of DTI maps offers the potential for improved organs at risk (OAR) sparing. MRSI metabolic maps are a promising technique for improving delineation accuracy in terms of heterogeneity and infiltration, with OAR sparing. No firm conclusions could be drawn regarding the integration of DWI metrics and PWI maps.
Conclusions
Integration of qMRI metrics into RT planning offers the potential to improve delineation and OAR sparing. Clinical trials and consensus guidelines are required to demonstrate the clinical benefits of such approaches.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Quantitative, MRI biomarker, Radiotherapy planning, Brain tumor, Target volume delineation, Systematic review |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Aug 2023 10:14 |
Last Modified: | 13 Sep 2023 10:59 |
Published Version: | https://www.phiro.science/article/S2405-6316(23)00... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.phro.2023.100476 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201895 |