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dc.contributor.authorWoolf, DKen_US
dc.contributor.authorLi, SPen_US
dc.contributor.authorDetre, Sen_US
dc.contributor.authorLiu, Aen_US
dc.contributor.authorGogbashian, Aen_US
dc.contributor.authorSimcock, ICen_US
dc.contributor.authorStirling, Jen_US
dc.contributor.authorKosmin, Men_US
dc.contributor.authorCook, GJen_US
dc.contributor.authorSiddique, Men_US
dc.contributor.authorDowsett, Men_US
dc.contributor.authorMakris, Aen_US
dc.contributor.authorGoh, Ven_US
dc.coverage.spatialUnited Statesen_US
dc.date.accessioned2019-07-04T12:51:33Z
dc.date.issued2019en_US
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/31210736en_US
dc.identifier10.1177_1179299X19851513en_US
dc.identifier.citationBiomark Cancer, 2019, 11 pp. 1179299X19851513 - ?en_US
dc.identifier.issn1179-299Xen_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3282
dc.identifier.doi10.1177/1179299X19851513en_US
dc.description.abstractBackground: Tumour heterogeneity is considered an important mechanism of treatment failure. Imaging-based assessment of tumour heterogeneity is showing promise but the relationship between these mathematically derived measures and accepted 'gold standards' of tumour biology such as immunohistochemical measures is not established. Methods: A total of 20 women with primary breast cancer underwent a research dynamic contrast-enhanced computed tomography prior to treatment with data being available for 15 of these. Texture analysis was performed of the primary tumours to extract 13 locoregional and global parameters. Immunohistochemical analysis associations were assessed by the Spearman rank correlation. Results: Hypoxia-inducible factor-1α was correlated with first-order kurtosis (r = -0.533, P = .041) and higher order neighbourhood grey-tone difference matrix coarseness (r = 0.54, P = .038). Vascular maturity-related smooth muscle actin was correlated with higher order grey-level run-length long-run emphasis (r = -0.52, P = .047), fractal dimension (r = 0.613, P = .015), and lacunarity (r = -0.634, P = .011). Micro-vessel density, reflecting angiogenesis, was also associated with lacunarity (r = 0.547, P = .035). Conclusions: The associations suggest a biological basis for these image-based heterogeneity features and support the use of imaging, already part of standard care, for assessing intratumoural heterogeneity.en_US
dc.format.extent1179299X19851513 - ?en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectBreast canceren_US
dc.subjectcomputed tomographyen_US
dc.subjectimmunohistochemistryen_US
dc.subjecttexture analysisen_US
dc.subjecttumour heterogeneityen_US
dc.titleAssessment of the Spatial Heterogeneity of Breast Cancers: Associations Between Computed Tomography and Immunohistochemistry.en_US
dc.typeJournal Article
dcterms.dateAccepted2019-04-23en_US
rioxxterms.versionofrecord10.1177/1179299X19851513en_US
rioxxterms.licenseref.startdate2019en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfBiomark Canceren_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology/Endocrinology (hon.)
pubs.publication-statusPublished onlineen_US
pubs.volume11en_US
pubs.embargo.termsNot knownen_US
icr.researchteamEndocrinologyen_US
dc.contributor.icrauthorDowsett, Mitchen_US


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