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dc.contributor.authorZaccagna, Fulvio
dc.contributor.authorRiemer, Frank
dc.contributor.authorPriest, Andrew N
dc.contributor.authorMcLean, Mary A
dc.contributor.authorAllinson, Kieren
dc.contributor.authorGrist, James T
dc.contributor.authorDragos, Carmen
dc.contributor.authorMatys, Tomasz
dc.contributor.authorGillard, Jonathan H
dc.contributor.authorWatts, Colin
dc.contributor.authorPrice, Stephen J
dc.contributor.authorGraves, Martin J
dc.contributor.authorGallagher, Ferdia A
dc.date.accessioned2019-01-22T00:31:19Z
dc.date.available2019-01-22T00:31:19Z
dc.date.issued2019-10
dc.identifier.issn0938-7994
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288316
dc.description.abstractPURPOSE: 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 mm2/s vs. 0.98 ± 0.38 × 10-3 mm2/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.
dc.description.sponsorshipThis work has been funded by Cancer Research UK (CRUK; C19212/A16628) and the CRUK & Engineering and Physical Sciences Research Council (EPSRC) Cancer Imaging Centre in Cambridge and Manchester (C197/A16465). Additional support has been provided by the CRUK Cambridge Centre, the National Institute of Health Research (NIHR) Cambridge Biomedical Research Centre and Addenbrooke’s Charitable Trust.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.subjectHumans
dc.subjectGlioma
dc.subjectBrain Neoplasms
dc.subjectDiffusion Magnetic Resonance Imaging
dc.subjectMagnetic Resonance Angiography
dc.subjectProspective Studies
dc.subjectFeasibility Studies
dc.subjectReproducibility of Results
dc.subjectAdult
dc.subjectAged
dc.subjectMiddle Aged
dc.subjectFemale
dc.subjectMale
dc.subjectYoung Adult
dc.subjectNeoplasm Grading
dc.titleNon-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology.
dc.typeArticle
prism.endingPage5566
prism.issueIdentifier10
prism.publicationDate2019
prism.publicationNameEur Radiol
prism.startingPage5559
prism.volume29
dc.identifier.doi10.17863/CAM.35632
dcterms.dateAccepted2018-12-17
rioxxterms.versionofrecord10.1007/s00330-019-6011-8
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-10
dc.contributor.orcidZaccagna, Fulvio [0000-0001-6838-9532]
dc.contributor.orcidRiemer, Frank [0000-0002-3805-5221]
dc.contributor.orcidMcLean, Mary [0000-0002-3752-0179]
dc.contributor.orcidGrist, James [0000-0001-7223-4031]
dc.contributor.orcidMatys, Tomasz [0000-0003-2285-5715]
dc.contributor.orcidGillard, Jonathan [0000-0003-4787-8091]
dc.contributor.orcidPrice, Stephen [0000-0002-7535-3009]
dc.contributor.orcidGraves, Martin [0000-0003-4327-3052]
dc.contributor.orcidGallagher, Ferdia [0000-0003-4784-5230]
dc.identifier.eissn1432-1084
rioxxterms.typeJournal Article/Review
pubs.funder-project-idCancer Research Uk (None)
pubs.funder-project-idCancer Research Uk (None)
cam.issuedOnline2019-03-19
cam.orpheus.successThu Jan 30 10:53:21 GMT 2020 - Embargo updated
rioxxterms.freetoread.startdate2020-10-31


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