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dc.contributor.authorJones-Todd, Charlotte Moragh
dc.contributor.authorCaie, Peter
dc.contributor.authorIllian, Janine B.
dc.contributor.authorStevenson, Ben C.
dc.contributor.authorSavage, Anne
dc.contributor.authorHarrison, David J.
dc.contributor.authorBrown, James L.
dc.date.accessioned2019-11-28T00:37:01Z
dc.date.available2019-11-28T00:37:01Z
dc.date.issued2018-11-28
dc.identifier.citationJones-Todd , C M , Caie , P , Illian , J B , Stevenson , B C , Savage , A , Harrison , D J & Brown , J L 2018 , ' Identifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysis ' , Statistics in Medicine , vol. Early View . https://doi.org/10.1002/sim.8046en
dc.identifier.issn0277-6715
dc.identifier.otherPURE: 256417622
dc.identifier.otherPURE UUID: cd9977d7-8278-4484-a12f-54c3d2711727
dc.identifier.otherScopus: 85057547234
dc.identifier.otherORCID: /0000-0002-0031-9850/work/60196556
dc.identifier.otherORCID: /0000-0001-9041-9988/work/64034319
dc.identifier.otherWOS: 000460319700009
dc.identifier.urihttp://hdl.handle.net/10023/19014
dc.description.abstractDiagnosis and prognosis of cancer is informed by the architecture inherent in cancer patient tissue sections. This architecture is typically identified by pathologists, yet advances in computational image analysis facilitate quantitative assessment of this structure. In this article we develop a spatial point process approach in order to describe patterns in cell distribution within tissue samples taken from colorectal cancer (CRC) patients. In particular, our approach is centered on the Palm intensity function. This leads to taking an approximate-likelihood technique in fitting point processes models. We consider two Neyman-Scott point processes and a void process, fitting these point process models to the CRC patient data. We find that the parameter estimates of these models may be used to quantify the spatial arrangementof cells. Importantly, we observe characteristic differences in the spatial arrangement of cells between patients who died from CRC and those alive at follow up.
dc.language.isoeng
dc.relation.ispartofStatistics in Medicineen
dc.rightsCopyright © 2018 John Wiley & Sons, Ltd. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1002/sim.8046en
dc.subjectColorectal canceren
dc.subjectPalm intensity functionen
dc.subjectSpatial point patternsen
dc.subjectQA Mathematicsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQH301 Biologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectNDASen
dc.subject.lccQAen
dc.subject.lccQA75en
dc.subject.lccQH301en
dc.subject.lccRC0254en
dc.titleIdentifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysisen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Cellular Medicine Divisionen
dc.contributor.institutionUniversity of St Andrews.School of Medicineen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.identifier.doihttps://doi.org/10.1002/sim.8046
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-11-28


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