Cargando…

Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma

BACKGROUND: In neuro-oncology, dynamic susceptibility contrast magnetic resonance (DSC-MR) perfusion imaging emerged as a tool to aid in the diagnostic work-up and to surveil effectiveness of treatment. However, it is believed that a significant variability exists with regard to the measured in DSC-...

Descripción completa

Detalles Bibliográficos
Autores principales: Kouwenberg, Valentina, van Santwijk, Lusien, Meijer, Frederick J. A., Henssen, Dylan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205029/
https://www.ncbi.nlm.nih.gov/pubmed/35715866
http://dx.doi.org/10.1186/s40644-022-00466-2
_version_ 1784729044156153856
author Kouwenberg, Valentina
van Santwijk, Lusien
Meijer, Frederick J. A.
Henssen, Dylan
author_facet Kouwenberg, Valentina
van Santwijk, Lusien
Meijer, Frederick J. A.
Henssen, Dylan
author_sort Kouwenberg, Valentina
collection PubMed
description BACKGROUND: In neuro-oncology, dynamic susceptibility contrast magnetic resonance (DSC-MR) perfusion imaging emerged as a tool to aid in the diagnostic work-up and to surveil effectiveness of treatment. However, it is believed that a significant variability exists with regard to the measured in DSC-MR perfusion parameters. The aim of this study was to assess the observer variability in measured DSC-MR perfusion parameters in patients before and after treatment. In addition, we investigated whether region-of-interest (ROI) shape impacted the observer variability. MATERIALS AND METHODS: Twenty non-treated patients and a matched group of twenty patients post-treatment (neurosurgical resection and post-chemoradiotherapy) were included. Six ROIs were independently placed by three readers: circular ROIs and polygonal ROIs covering 1) the tumor hotspot; 2) the peritumoral region (T2/FLAIR-hyperintense region) and 3) the whole tumor region. A two-way random Intra-class coefficient (ICC) model was used to assess variability in measured DSC-MRI perfusion parameters. The perfusion metrics as assessed by the circular and the polygonal ROI were compared by use of the dependent T-test. RESULTS: In the non-treated group, circular ROIs showed good–excellent overlap (ICC-values ranging from 0.741–0.963) with the exception of those representing the tumor hotspot. Polygonal ROIs showed lower ICC-values, ranging from 0.113 till 0.856. ROI-placement in the posttreatment group showed to be highly variable with a significant deterioration of ICC-values. Furthermore, perfusion metric assessment in similar tumor regions was not impacted by ROI shape. DISCUSSION: This study shows that posttreatment quantitative interpretation of DSC-MR perfusion imaging is highly variable and should be carried out with precaution. Pretreatment assessment of DSC-MR images, however, could be carried out be a single reader in order to provide valid data for further analyses.
format Online
Article
Text
id pubmed-9205029
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-92050292022-06-18 Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma Kouwenberg, Valentina van Santwijk, Lusien Meijer, Frederick J. A. Henssen, Dylan Cancer Imaging Research Article BACKGROUND: In neuro-oncology, dynamic susceptibility contrast magnetic resonance (DSC-MR) perfusion imaging emerged as a tool to aid in the diagnostic work-up and to surveil effectiveness of treatment. However, it is believed that a significant variability exists with regard to the measured in DSC-MR perfusion parameters. The aim of this study was to assess the observer variability in measured DSC-MR perfusion parameters in patients before and after treatment. In addition, we investigated whether region-of-interest (ROI) shape impacted the observer variability. MATERIALS AND METHODS: Twenty non-treated patients and a matched group of twenty patients post-treatment (neurosurgical resection and post-chemoradiotherapy) were included. Six ROIs were independently placed by three readers: circular ROIs and polygonal ROIs covering 1) the tumor hotspot; 2) the peritumoral region (T2/FLAIR-hyperintense region) and 3) the whole tumor region. A two-way random Intra-class coefficient (ICC) model was used to assess variability in measured DSC-MRI perfusion parameters. The perfusion metrics as assessed by the circular and the polygonal ROI were compared by use of the dependent T-test. RESULTS: In the non-treated group, circular ROIs showed good–excellent overlap (ICC-values ranging from 0.741–0.963) with the exception of those representing the tumor hotspot. Polygonal ROIs showed lower ICC-values, ranging from 0.113 till 0.856. ROI-placement in the posttreatment group showed to be highly variable with a significant deterioration of ICC-values. Furthermore, perfusion metric assessment in similar tumor regions was not impacted by ROI shape. DISCUSSION: This study shows that posttreatment quantitative interpretation of DSC-MR perfusion imaging is highly variable and should be carried out with precaution. Pretreatment assessment of DSC-MR images, however, could be carried out be a single reader in order to provide valid data for further analyses. BioMed Central 2022-06-17 /pmc/articles/PMC9205029/ /pubmed/35715866 http://dx.doi.org/10.1186/s40644-022-00466-2 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 Research Article
Kouwenberg, Valentina
van Santwijk, Lusien
Meijer, Frederick J. A.
Henssen, Dylan
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
title Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
title_full Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
title_fullStr Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
title_full_unstemmed Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
title_short Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
title_sort reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205029/
https://www.ncbi.nlm.nih.gov/pubmed/35715866
http://dx.doi.org/10.1186/s40644-022-00466-2
work_keys_str_mv AT kouwenbergvalentina reliabilityofdynamicsusceptibilitycontrastperfusionmetricsinpreandposttreatmentglioma
AT vansantwijklusien reliabilityofdynamicsusceptibilitycontrastperfusionmetricsinpreandposttreatmentglioma
AT meijerfrederickja reliabilityofdynamicsusceptibilitycontrastperfusionmetricsinpreandposttreatmentglioma
AT henssendylan reliabilityofdynamicsusceptibilitycontrastperfusionmetricsinpreandposttreatmentglioma