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dc.contributor.authorSushentsev, Nikita
dc.contributor.authorMcLean, Mary
dc.contributor.authorWarren, Anne
dc.contributor.authorBrodie, Cara
dc.contributor.authorJones, Julia
dc.contributor.authorGallagher, Ferdia
dc.contributor.authorBarrett, Tristan
dc.date.accessioned2022-06-01T23:30:56Z
dc.date.available2022-06-01T23:30:56Z
dc.date.issued2022-06-22
dc.identifier.issn0938-7994
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337681
dc.description.abstractHyperpolarised [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.sponsorshipThis 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.publisherSpringer Science and Business Media LLC
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.titleThe potential of hyperpolarised 13C-MRI to target glycolytic tumour core in prostate cancer.
dc.typeArticle
dc.publisher.departmentDepartment of Radiology
dc.date.updated2022-06-01T09:45:15Z
prism.publicationNameEur Radiol
dc.identifier.doi10.17863/CAM.85087
dcterms.dateAccepted2022-05-23
rioxxterms.versionofrecord10.1007/s00330-022-08929-7
rioxxterms.versionAM
dc.contributor.orcidSushentsev, Nikita [0000-0003-4500-9714]
dc.contributor.orcidMcLean, Mary [0000-0002-3752-0179]
dc.contributor.orcidWarren, Anne [0000-0002-1170-7867]
dc.contributor.orcidGallagher, Ferdia [0000-0003-4784-5230]
dc.contributor.orcidBarrett, Tristan [0000-0002-1180-1474]
dc.identifier.eissn1432-1084
rioxxterms.typeJournal Article/Review
pubs.funder-project-idProstate Cancer UK (PA14-012)
cam.issuedOnline2022-06-22
cam.orpheus.successMon Jun 27 07:19:04 BST 2022 - Embargo updated
cam.orpheus.counter3
cam.depositDate2022-06-01
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2023-06-22


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