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Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology
PURPOSE: This prospective study evaluated the use of vascular, extracellular and restricted diffusion for cytometry in tumours (VERDICT) MRI to investigate the tissue microstructure in glioma. VERDICT-derived parameters were correlated with both histological features and tumour subtype and were also...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719328/ https://www.ncbi.nlm.nih.gov/pubmed/30888488 http://dx.doi.org/10.1007/s00330-019-6011-8 |
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author | Zaccagna, Fulvio Riemer, Frank Priest, Andrew N. McLean, Mary A. Allinson, Kieren Grist, James T. Dragos, Carmen Matys, Tomasz Gillard, Jonathan H. Watts, Colin Price, Stephen J. Graves, Martin J. Gallagher, Ferdia A. |
author_facet | Zaccagna, Fulvio Riemer, Frank Priest, Andrew N. McLean, Mary A. Allinson, Kieren Grist, James T. Dragos, Carmen Matys, Tomasz Gillard, Jonathan H. Watts, Colin Price, Stephen J. Graves, Martin J. Gallagher, Ferdia A. |
author_sort | Zaccagna, Fulvio |
collection | PubMed |
description | PURPOSE: This prospective study evaluated the use of vascular, extracellular and restricted diffusion for cytometry in tumours (VERDICT) MRI to investigate the tissue microstructure in glioma. VERDICT-derived parameters were correlated with both histological features and tumour subtype and were also used to explore the peritumoural region. METHODS: Fourteen consecutive treatment-naïve patients (43.5 years ± 15.1 years, six males, eight females) with suspected glioma underwent diffusion-weighted imaging including VERDICT modelling. Tumour cell radius and intracellular and combined extracellular/vascular volumes were estimated using a framework based on linearisation and convex optimisation. An experienced neuroradiologist outlined the peritumoural oedema, enhancing tumour and necrosis on T2-weighted imaging and contrast-enhanced T1-weighted imaging. The same regions of interest were applied to the co-registered VERDICT maps to calculate the microstructure parameters. Pathology sections were analysed with semi-automated software to measure cellularity and cell size. RESULTS: VERDICT parameters were successfully calculated in all patients. The imaging-derived results showed a larger intracellular volume fraction in high-grade glioma compared to low-grade glioma (0.13 ± 0.07 vs. 0.08 ± 0.02, respectively; p = 0.05) and a trend towards a smaller extracellular/vascular volume fraction (0.88 ± 0.07 vs. 0.92 ± 0.04, respectively; p = 0.10). The conventional apparent diffusion coefficient was higher in low-grade gliomas compared to high-grade gliomas, but this difference was not statistically significant (1.22 ± 0.13 × 10(−3) mm(2)/s vs. 0.98 ± 0.38 × 10(−3) mm(2)/s, respectively; p = 0.18). CONCLUSION: This feasibility study demonstrated that VERDICT MRI can be used to explore the tissue microstructure of glioma using an abbreviated protocol. The VERDICT parameters of tissue structure correlated with those derived on histology. The method shows promise as a potential test for diagnostic stratification and treatment response monitoring in the future. KEY POINTS: • VERDICT MRI is an advanced diffusion technique which has been correlated with histopathological findings obtained at surgery from patients with glioma in this study. • The intracellular volume fraction measured with VERDICT was larger in high-grade tumours compared to that in low-grade tumours. • The results were complementary to measurements from conventional diffusion-weighted imaging, and the technique could be performed in a clinically feasible timescale. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-019-6011-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6719328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-67193282019-09-19 Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology Zaccagna, Fulvio Riemer, Frank Priest, Andrew N. McLean, Mary A. Allinson, Kieren Grist, James T. Dragos, Carmen Matys, Tomasz Gillard, Jonathan H. Watts, Colin Price, Stephen J. Graves, Martin J. Gallagher, Ferdia A. Eur Radiol Neuro PURPOSE: This prospective study evaluated the use of vascular, extracellular and restricted diffusion for cytometry in tumours (VERDICT) MRI to investigate the tissue microstructure in glioma. VERDICT-derived parameters were correlated with both histological features and tumour subtype and were also used to explore the peritumoural region. METHODS: Fourteen consecutive treatment-naïve patients (43.5 years ± 15.1 years, six males, eight females) with suspected glioma underwent diffusion-weighted imaging including VERDICT modelling. Tumour cell radius and intracellular and combined extracellular/vascular volumes were estimated using a framework based on linearisation and convex optimisation. An experienced neuroradiologist outlined the peritumoural oedema, enhancing tumour and necrosis on T2-weighted imaging and contrast-enhanced T1-weighted imaging. The same regions of interest were applied to the co-registered VERDICT maps to calculate the microstructure parameters. Pathology sections were analysed with semi-automated software to measure cellularity and cell size. RESULTS: VERDICT parameters were successfully calculated in all patients. The imaging-derived results showed a larger intracellular volume fraction in high-grade glioma compared to low-grade glioma (0.13 ± 0.07 vs. 0.08 ± 0.02, respectively; p = 0.05) and a trend towards a smaller extracellular/vascular volume fraction (0.88 ± 0.07 vs. 0.92 ± 0.04, respectively; p = 0.10). The conventional apparent diffusion coefficient was higher in low-grade gliomas compared to high-grade gliomas, but this difference was not statistically significant (1.22 ± 0.13 × 10(−3) mm(2)/s vs. 0.98 ± 0.38 × 10(−3) mm(2)/s, respectively; p = 0.18). CONCLUSION: This feasibility study demonstrated that VERDICT MRI can be used to explore the tissue microstructure of glioma using an abbreviated protocol. The VERDICT parameters of tissue structure correlated with those derived on histology. The method shows promise as a potential test for diagnostic stratification and treatment response monitoring in the future. KEY POINTS: • VERDICT MRI is an advanced diffusion technique which has been correlated with histopathological findings obtained at surgery from patients with glioma in this study. • The intracellular volume fraction measured with VERDICT was larger in high-grade tumours compared to that in low-grade tumours. • The results were complementary to measurements from conventional diffusion-weighted imaging, and the technique could be performed in a clinically feasible timescale. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-019-6011-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-03-19 2019 /pmc/articles/PMC6719328/ /pubmed/30888488 http://dx.doi.org/10.1007/s00330-019-6011-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Neuro Zaccagna, Fulvio Riemer, Frank Priest, Andrew N. McLean, Mary A. Allinson, Kieren Grist, James T. Dragos, Carmen Matys, Tomasz Gillard, Jonathan H. Watts, Colin Price, Stephen J. Graves, Martin J. Gallagher, Ferdia A. Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology |
title | Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology |
title_full | Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology |
title_fullStr | Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology |
title_full_unstemmed | Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology |
title_short | Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology |
title_sort | non-invasive assessment of glioma microstructure using verdict mri: correlation with histology |
topic | Neuro |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719328/ https://www.ncbi.nlm.nih.gov/pubmed/30888488 http://dx.doi.org/10.1007/s00330-019-6011-8 |
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