• 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 DateSubjectsProfilesView

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    Impact of inter-observer variability on MRI radiomic features in bladder cancer

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Elumalai, Thiraviyam
    Song, Yee Pei
    Mistry, Hitesh
    Dubec, Michael
    Jackson, S.
    van Herk, Marcel
    Hoskin, Peter J
    Choudhury, Ananya
    McWilliam, Alan
    Affiliation
    The Christie NHS foundation trust, Clinical Oncology, Manchester
    Issue Date
    2021
    
    Metadata
    Show full item record
    Abstract
    Purpose or Objective Muscle-invasive bladder cancer (MIBC) can be radically treated with either surgery or radiotherapy. Regardless of treatment, overall 5-year survival remains poor with 1 in 2 patients dying of disease. Improved patient stratification is needed, identifying those who respond better to radiotherapy. Using imaging biomarkers from on-treatment MRI such as radiomic features is one viable strategy. We aimed to identify MRI radiomic features robust for inter-observer variation in MIBC patients treated with chemo-radiotherapy and compare bladder wall (BW) and tumour bed (TB). Materials and Methods Ten eligible MIBC patients were recruited to an MRI imaging study while undergoing chemo-radiotherapy. All patients were treated with GemX (52.5 /20 fractions with Gemcitabine 100 mg/m2 weekly). Weekly scans were taken during treatment on a Siemens 1.5T diagnostic MRI scanner. BW and TB were segmented as the region of interests on the weekly T2-weighted MRI images by two clinical oncologists to evaluate inter-observer variability. In total, 40 MRI images were available to extract features using pyRadiomics (v3.0.1). Robustness to inter-observer variation was assessed using the intraclass correlation coefficient (ICC). Distribution of features in BW and TB was compared using inter-quartile range.
    Citation
    Elumalai T, Song YP, Mistry H, Dubec M, Jackson S, Herk MV, et al. Impact of inter-observer variability on MRI radiomic features in bladder cancer. Radiotherapy and Oncology. 2021;161:S1524-S5.
    Journal
    Radiotherapy and Oncology
    URI
    http://hdl.handle.net/10541/624828
    Type
    Meetings and Proceedings
    Language
    en
    Collections
    All Christie Publications

    entitlement

     
    DSpace software (copyright © 2002 - 2025)  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.