• 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

    Measuring repeatability of dynamic contrast-enhanced MRI biomarkers improves evaluation of biological response to radiotherapy in lung cancer

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    s00330-024-10970-7.pdf
    Size:
    1.088Mb
    Format:
    PDF
    Description:
    Found with Open Access Button
    Download
    Authors
    Sridharan, N.
    Salem, Ahmed
    Little, Ross A
    Tariq, M.
    Cheung, Susan
    Dubec, Michael J
    Faivre-Finn, Corinne
    Parker, G. J. M.
    Porta, N.
    O'Connor, James P B
    Affiliation
    Division of Cancer Sciences, University of Manchester, Manchester, UK. Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK. Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK. Radiology Department, The Christie NHS Foundation Trust, Manchester, UK. james.oconnor@icr.ac.uk.
    Issue Date
    2024
    
    Metadata
    Show full item record
    Abstract
    OBJECTIVES: To measure dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) biomarker repeatability in patients with non-small cell lung cancer (NSCLC). To use these statistics to identify which individual target lesions show early biological response. MATERIALS AND METHODS: A single-centre, prospective DCE-MRI study was performed between September 2015 and April 2017. Patients with NSCLC were scanned before standard-of-care radiotherapy to evaluate biomarker repeatability and two weeks into therapy to evaluate biological response. Volume transfer constant (K(trans)), extravascular extracellular space volume fraction (v(e)) and plasma volume fraction (v(p)) were measured at each timepoint along with tumour volume. Repeatability was assessed using a within-subject coefficient of variation (wCV) and repeatability coefficient (RC). Cohort treatment effects on biomarkers were estimated using mixed-effects models. RC limits of agreement revealed which individual target lesions changed beyond that expected with biomarker daily variation. RESULTS: Fourteen patients (mean age, 67 years +/- 12, 8 men) had 22 evaluable lesions (12 primary tumours, 8 nodal metastases, 2 distant metastases). The wCV (in 8/14 patients) was between 9.16% to 17.02% for all biomarkers except for v(p), which was 42.44%. Cohort-level changes were significant for K(trans) and v(e) (p < 0.001) and tumour volume (p = 0.002). K(trans) and tumour volume consistently showed the greatest number of individual lesions showing biological response. In distinction, no individual lesions had a real change in v(e) despite the cohort-level change. CONCLUSION: Identifying individual early biological responders provided additional information to that derived from conventional cohort cohort-level statistics, helping to prioritise which parameters would be best taken forward into future studies. CLINICAL RELEVANCE STATEMENT: Dynamic contrast-enhanced magnetic resonance imaging biomarkers K(trans) and tumour volume are repeatable and detect early treatment-induced changes at both cohort and individual lesion levels, supporting their use in further evaluation of radiotherapy and targeted therapeutics. KEY POINTS: Few literature studies report quantitative imaging biomarker precision, by measuring repeatability or reproducibility. Several DCE-MRI biomarkers of lung cancer tumour microenvironment were highly repeatable. Repeatability coefficient measurements enabled lesion-specific evaluation of early biological response to therapy, improving conventional assessment.
    Citation
    Sridharan N, Salem A, Little RA, Tariq M, Cheung S, Dubec MJ, et al. Measuring repeatability of dynamic contrast-enhanced MRI biomarkers improves evaluation of biological response to radiotherapy in lung cancer. European radiology. 2024 Aug 9. PubMed PMID: 39122855. Epub 2024/08/10. eng.
    Journal
    European Radiology
    URI
    http://hdl.handle.net/10541/627188
    DOI
    10.1007/s00330-024-10970-7
    PubMed ID
    39122855
    Additional Links
    https://dx.doi.org/10.1007/s00330-024-10970-7
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00330-024-10970-7
    Scopus Count
    Collections
    All Christie Publications

    entitlement

    Related articles

    • Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions.
    • Authors: Rata M, Collins DJ, Darcy J, Messiou C, Tunariu N, Desouza N, Young H, Leach MO, Orton MR
    • Issue date: 2016 Jul
    • Predicting tumor responses and patient survival in chemoradiotherapy-treated patients with non-small-cell lung cancer using dynamic contrast-enhanced integrated magnetic resonance-positron-emission tomography.
    • Authors: Huang YS, Chen JL, Chen JY, Lee YF, Huang JY, Kuo SH, Yen RF, Chang YC
    • Issue date: 2019 Aug
    • Repeatability and correlations of dynamic contrast enhanced and T2* MRI in patients with advanced pancreatic ductal adenocarcinoma.
    • Authors: Klaassen R, Gurney-Champion OJ, Wilmink JW, Besselink MG, Engelbrecht MRW, Stoker J, Nederveen AJ, van Laarhoven HWM
    • Issue date: 2018 Jul
    • Quantitative helical dynamic contrast enhanced computed tomography assessment of the spatial variation in whole tumour blood volume with radiotherapy in lung cancer.
    • Authors: Ng QS, Goh V, Milner J, Sundin J, Wellsted D, Saunders MI, Hoskin PJ
    • Issue date: 2010 Jul
    • Assessing tumor angiogenesis using dynamic contrast-enhanced integrated magnetic resonance-positron emission tomography in patients with non-small-cell lung cancer.
    • Authors: Huang YS, Chen JL, Chen HM, Yeh LH, Shih JY, Yen RF, Chang YC
    • Issue date: 2021 Apr 1
    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.