The potential of hyperpolarised 13C-MRI to target glycolytic tumour core in prostate cancer.
cam.depositDate | 2022-06-01 | |
cam.issuedOnline | 2022-06-22 | |
cam.orpheus.counter | 3 | |
cam.orpheus.success | Mon Jun 27 07:19:04 BST 2022 - Embargo updated | |
dc.contributor.author | Sushentsev, Nikita | |
dc.contributor.author | McLean, Mary A | |
dc.contributor.author | Warren, Anne Y | |
dc.contributor.author | Brodie, Cara | |
dc.contributor.author | Jones, Julia | |
dc.contributor.author | Gallagher, Ferdia A | |
dc.contributor.author | Barrett, Tristan | |
dc.contributor.orcid | Sushentsev, Nikita [0000-0003-4500-9714] | |
dc.date.accessioned | 2022-06-01T23:30:56Z | |
dc.date.available | 2022-06-01T23:30:56Z | |
dc.date.issued | 2022-06-22 | |
dc.date.updated | 2022-06-01T09:45:15Z | |
dc.description.abstract | Hyperpolarised [1-13C]pyruvate MRI (HP-13C-MRI) is an emerging metabolic imaging technique that has shown promise for evaluating prostate cancer (PCa) aggressiveness. Accurate tumour delineation on HP-13C-MRI is vital for quantitative assessment of the underlying tissue metabolism. However, there is no consensus on the optimum method for segmenting HP-13C-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-13C-MRI could provide an important functional metric of tumour volume. In this study, we quantified metabolism using HP-13C-MRI and segmentation approaches based on WMP maps, 1H-MRI-derived T2-weighted imaging (T2WI), and HP-13C-MRI-derived total carbon signal-to-noise ratio maps (TC-SNR) with an SNR threshold of 5.0. 13C-labelled pyruvate SNR, lactate SNR, TC-SNR, and the pyruvate-to-lactate exchange rate constant (kPL) 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-13C-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 1H-MRI and target the most glycolytically active regions. | |
dc.description.sponsorship | This study has received funding by Prostate Cancer UK (PCUK; Grant PA14-012) and Cancer Research UK (CRUK; Grants C19212/A27150, C19212/A16628, C197/A29580, C197/A17242) | |
dc.identifier.doi | 10.17863/CAM.85087 | |
dc.identifier.eissn | 1432-1084 | |
dc.identifier.issn | 0938-7994 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/337681 | |
dc.language.iso | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.publisher.department | Department of Radiology | |
dc.rights | All Rights Reserved | |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
dc.title | The potential of hyperpolarised 13C-MRI to target glycolytic tumour core in prostate cancer. | |
dc.type | Article | |
dcterms.dateAccepted | 2022-05-23 | |
prism.publicationName | Eur Radiol | |
pubs.funder-project-id | Prostate Cancer UK (PA14-012) | |
pubs.licence-display-name | Apollo Repository Deposit Licence Agreement | |
pubs.licence-identifier | apollo-deposit-licence-2-1 | |
rioxxterms.type | Journal Article/Review | |
rioxxterms.version | AM | |
rioxxterms.versionofrecord | 10.1007/s00330-022-08929-7 |
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