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The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer

ABSTRACT: Hyperpolarised [1-(13)C]pyruvate MRI (HP-(13)C-MRI) is an emerging metabolic imaging technique that has shown promise for evaluating prostate cancer (PCa) aggressiveness. Accurate tumour delineation on HP-(13)C-MRI is vital for quantitative assessment of the underlying tissue metabolism. H...

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Autores principales: Sushentsev, Nikita, McLean, Mary A., Warren, Anne Y., Brodie, Cara, Jones, Julia, Gallagher, Ferdia A., Barrett, Tristan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474577/
https://www.ncbi.nlm.nih.gov/pubmed/35731287
http://dx.doi.org/10.1007/s00330-022-08929-7
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author Sushentsev, Nikita
McLean, Mary A.
Warren, Anne Y.
Brodie, Cara
Jones, Julia
Gallagher, Ferdia A.
Barrett, Tristan
author_facet Sushentsev, Nikita
McLean, Mary A.
Warren, Anne Y.
Brodie, Cara
Jones, Julia
Gallagher, Ferdia A.
Barrett, Tristan
author_sort Sushentsev, Nikita
collection PubMed
description ABSTRACT: Hyperpolarised [1-(13)C]pyruvate MRI (HP-(13)C-MRI) is an emerging metabolic imaging technique that has shown promise for evaluating prostate cancer (PCa) aggressiveness. Accurate tumour delineation on HP-(13)C-MRI is vital for quantitative assessment of the underlying tissue metabolism. However, there is no consensus on the optimum method for segmenting HP-(13)C-MRI, and whole-mount pathology (WMP) as the histopathological gold-standard is only available for surgical patients. Although proton MRI can be used for tumour delineation, this approach significantly underestimates tumour volume, and metabolic tumour segmentation based on HP-(13)C-MRI could provide an important functional metric of tumour volume. In this study, we quantified metabolism using HP-(13)C-MRI and segmentation approaches based on WMP maps, (1)H-MRI-derived T(2)-weighted imaging (T2WI), and HP-(13)C-MRI-derived total carbon signal-to-noise ratio maps (TC-SNR) with an SNR threshold of 5.0. (13)C-labelled pyruvate SNR, lactate SNR, TC-SNR, and the pyruvate-to-lactate exchange rate constant (k(PL)) were significantly higher when measured using the TC-SNR-guided approach, which also corresponded to a significantly higher tumour epithelial expression on RNAscope imaging of the enzyme catalysing pyruvate-to-lactate metabolism (lactate dehydrogenase (LDH)). However, linear regression and Bland-Altman analyses demonstrated a strong linear relationship between all three segmentation approaches, which correlated significantly with RNA-scope-derived epithelial LDH expression. These results suggest that standard-of-care T2WI and TC-SNR maps could be used as clinical reference tools for segmenting localised PCa on HP-(13)C-MRI in the absence of the WMP gold standard. The TC-SNR-guided approach could be used clinically to target biopsies towards highly glycolytic tumour areas and therefore to sample aggressive disease with higher precision. KEY POINTS: • T2WI- and TC-SNR-guided segmentations can be used in all PCa patients and do not explicitly require WMP maps. • Agreement between the three segmentation approaches is biologically validated by their strong relationship with epithelial LDH mRNA expression. • The TC-SNR-guided approach can potentially be used to identify occult disease on (1)H-MRI and target the most glycolytically active regions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08929-7.
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spelling pubmed-94745772022-09-16 The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer Sushentsev, Nikita McLean, Mary A. Warren, Anne Y. Brodie, Cara Jones, Julia Gallagher, Ferdia A. Barrett, Tristan Eur Radiol Molecular Imaging ABSTRACT: Hyperpolarised [1-(13)C]pyruvate MRI (HP-(13)C-MRI) is an emerging metabolic imaging technique that has shown promise for evaluating prostate cancer (PCa) aggressiveness. Accurate tumour delineation on HP-(13)C-MRI is vital for quantitative assessment of the underlying tissue metabolism. However, there is no consensus on the optimum method for segmenting HP-(13)C-MRI, and whole-mount pathology (WMP) as the histopathological gold-standard is only available for surgical patients. Although proton MRI can be used for tumour delineation, this approach significantly underestimates tumour volume, and metabolic tumour segmentation based on HP-(13)C-MRI could provide an important functional metric of tumour volume. In this study, we quantified metabolism using HP-(13)C-MRI and segmentation approaches based on WMP maps, (1)H-MRI-derived T(2)-weighted imaging (T2WI), and HP-(13)C-MRI-derived total carbon signal-to-noise ratio maps (TC-SNR) with an SNR threshold of 5.0. (13)C-labelled pyruvate SNR, lactate SNR, TC-SNR, and the pyruvate-to-lactate exchange rate constant (k(PL)) were significantly higher when measured using the TC-SNR-guided approach, which also corresponded to a significantly higher tumour epithelial expression on RNAscope imaging of the enzyme catalysing pyruvate-to-lactate metabolism (lactate dehydrogenase (LDH)). However, linear regression and Bland-Altman analyses demonstrated a strong linear relationship between all three segmentation approaches, which correlated significantly with RNA-scope-derived epithelial LDH expression. These results suggest that standard-of-care T2WI and TC-SNR maps could be used as clinical reference tools for segmenting localised PCa on HP-(13)C-MRI in the absence of the WMP gold standard. The TC-SNR-guided approach could be used clinically to target biopsies towards highly glycolytic tumour areas and therefore to sample aggressive disease with higher precision. KEY POINTS: • T2WI- and TC-SNR-guided segmentations can be used in all PCa patients and do not explicitly require WMP maps. • Agreement between the three segmentation approaches is biologically validated by their strong relationship with epithelial LDH mRNA expression. • The TC-SNR-guided approach can potentially be used to identify occult disease on (1)H-MRI and target the most glycolytically active regions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08929-7. Springer Berlin Heidelberg 2022-06-22 2022 /pmc/articles/PMC9474577/ /pubmed/35731287 http://dx.doi.org/10.1007/s00330-022-08929-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Molecular Imaging
Sushentsev, Nikita
McLean, Mary A.
Warren, Anne Y.
Brodie, Cara
Jones, Julia
Gallagher, Ferdia A.
Barrett, Tristan
The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer
title The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer
title_full The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer
title_fullStr The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer
title_full_unstemmed The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer
title_short The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer
title_sort potential of hyperpolarised (13)c-mri to target glycolytic tumour core in prostate cancer
topic Molecular Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474577/
https://www.ncbi.nlm.nih.gov/pubmed/35731287
http://dx.doi.org/10.1007/s00330-022-08929-7
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