• Login
    View Item 
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    A new method for the high-precision assessment of tumor changes in response to treatment.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    bty115.pdf
    Size:
    754.8Kb
    Format:
    PDF
    Description:
    Full text, Open Access article
    Download
    Authors
    Tar, P
    Thacker, N
    Babur, M
    Watson, Y
    Cheung, S
    Little, R
    Gieling, R
    Williams, K
    O'Connor, James P B
    Affiliation
    Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
    Issue Date
    2018-03-14
    
    Metadata
    Show full item record
    Abstract
    Imaging demonstrates that preclinical and human tumors are heterogeneous, i.e. a single tumor can exhibit multiple regions that behave differently during both normal development and also in response to treatment. The large variations observed in control group tumors can obscure detection of significant therapeutic effects due to the ambiguity in attributing causes of change. This can hinder development of effective therapies due to limitations in experimental design, rather than due to therapeutic failure. An improved method to model biological variation and heterogeneity in imaging signals is described. Specifically, Linear Poisson modelling (LPM) evaluates changes in apparent diffusion co-efficient (ADC) before and 72 hours after radiotherapy, in two xenograft models of colorectal cancer. The statistical significance of measured changes are compared to those attainable using a conventional t-test analysis on basic ADC distribution parameters.
    Citation
    A new method for the high-precision assessment of tumor changes in response to treatment. 2018, Bioinformatics
    Journal
    Bioinformatics
    URI
    http://hdl.handle.net/10541/620902
    DOI
    10.1093/bioinformatics/bty115
    PubMed ID
    29547950
    Type
    Article
    Language
    en
    ISSN
    1367-4811
    ae974a485f413a2113503eed53cd6c53
    10.1093/bioinformatics/bty115
    Scopus Count
    Collections
    All Christie Publications

    entitlement

    Related articles

    • A reformulation of pLSA for uncertainty estimation and hypothesis testing in bio-imaging.
    • Authors: Tar PD, Thacker NA, Deepaisarn S, O'Connor JPB, McMahon AW
    • Issue date: 2020 Jul 1
    • Habitat Imaging of Tumors Enables High Confidence Sub-Regional Assessment of Response to Therapy.
    • Authors: Tar PD, Thacker NA, Babur M, Lipowska-Bhalla G, Cheung S, Little RA, Williams KJ, O'Connor JPB
    • Issue date: 2022 Apr 26
    • Use of non-invasive imaging to monitor response to aflibercept treatment in murine models of colorectal cancer liver metastases.
    • Authors: Fleten KG, Bakke KM, Mælandsmo GM, Abildgaard A, Redalen KR, Flatmark K
    • Issue date: 2017 Jan
    • Preclinical dynamic 18F-FDG PET - tumor characterization and radiotherapy response assessment by kinetic compartment analysis.
    • Authors: Røe K, Aleksandersen TB, Kristian A, Nilsen LB, Seierstad T, Qu H, Ree AH, Olsen DR, Malinen E
    • Issue date: 2010 Oct
    • Reprogramming metabolism with metformin improves tumor oxygenation and radiotherapy response.
    • Authors: Zannella VE, Dal Pra A, Muaddi H, McKee TD, Stapleton S, Sykes J, Glicksman R, Chaib S, Zamiara P, Milosevic M, Wouters BG, Bristow RG, Koritzinsky M
    • Issue date: 2013 Dec 15
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.