• 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

    Clinical and radiomics prediction of complete response in rectal cancer pre-chemoradiotherapy

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    35800297.pdf
    Size:
    1008.Kb
    Format:
    PDF
    Description:
    Identified with Open Access button
    Download
    Authors
    Mbanu, Peter
    Saunders, Mark P
    Mistry, Hitesh
    Mercer, Joe
    Malcomson, Lee
    Yousif, S.
    Price, Gareth J
    Kochhar, Rohit
    Renehan, Andrew G
    van Herk, Marcel
    Vasquez Osorio, Eliana
    Show allShow less
    Affiliation
    Department of Clinical Oncology, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom
    Issue Date
    2022
    
    Metadata
    Show full item record
    Abstract
    Background and purpose: Patients with rectal cancer could avoid major surgery if they achieve clinical complete response (cCR) post neoadjuvant treatment. Therefore, prediction of treatment outcomes before treatment has become necessary to select the best neo-adjuvant treatment option. This study investigates clinical and radiomics variables' ability to predict cCR in patients pre chemoradiotherapy. Materials and methods: Using the OnCoRe database, we recruited a matched cohort of 304 patients (152 with cCR; 152 without cCR) deriving training (N = 200) and validation (N = 104) sets. We collected pre-treatment MR (magnetic resonance) images, demographics and blood parameters (haemoglobin, neutrophil, lymphocyte, alkaline phosphate and albumin). We segmented the gross tumour volume on T2 Weighted MR Images and extracted 1430 stable radiomics features per patient. We used principal component analysis (PCA) and receiver operating characteristic area under the curve (ROC AUC) to reduce dimensionality and evaluate the models produced. Results: Using Logistic regression analysis, PCA-derived combined model (radiomics plus clinical variables) gave a ROC AUC of 0.76 (95% CI: 0.69-0.83) in the training set and 0.68 (95% CI 0.57-0.79) in the validation set. The clinical only model achieved an AUC of 0.73 (95% CI 0.66-0.80) and 0.62 (95% CI 0.51-0.74) in the training and validation set, respectively. The radiomics model had an AUC of 0.68 (95% CI 0.61-0.75) and 0.66 (95% CI 0.56-0.77) in the training and validation sets. Conclusion: The predictive characteristics of both clinical and radiomics variables for clinical complete response remain modest but radiomics predictability is improved with addition of clinical variables.
    Citation
    Mbanu P, Saunders MP, Mistry H, Mercer J, Malcomson L, Yousif S, et al. Clinical and radiomics prediction of complete response in rectal cancer pre-chemoradiotherapy. Physics and imaging in radiation oncology. 2022 Jul;23:48-53. PubMed PMID: 35800297. Pubmed Central PMCID: PMC9253904. Epub 2022/07/09. eng.
    Journal
    Physics and Imaging in Radiation Oncology
    URI
    http://hdl.handle.net/10541/625420
    DOI
    10.1016/j.phro.2022.06.010
    PubMed ID
    35800297
    Additional Links
    https://dx.doi.org/10.1016/j.phro.2022.06.010
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.phro.2022.06.010
    Scopus Count
    Collections
    All Christie Publications

    entitlement

    Related articles

    • Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    • Authors: Cui Y, Yang X, Shi Z, Yang Z, Du X, Zhao Z, Cheng X
    • Issue date: 2019 Mar
    • [A prediction model of pathological complete response in patients with locally advanced rectal cancer after PD-1 antibody combined with total neoadjuvant chemoradiotherapy based on MRI radiomics].
    • Authors: Zhang XY, Zhu HT, Li XT, Li YJ, Li ZW, Wang WH, Wu AW, Sun YS, Zhang L
    • Issue date: 2022 Mar 25
    • Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    • Authors: Li ZY, Wang XD, Li M, Liu XJ, Ye Z, Song B, Yuan F, Yuan Y, Xia CC, Zhang X, Li Q
    • Issue date: 2020 May 21
    • Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation.
    • Authors: Cusumano D, Boldrini L, Yadav P, Yu G, Musurunu B, Chiloiro G, Piras A, Lenkowicz J, Placidi L, Romano A, De Luca V, Votta C, Barbaro B, Gambacorta MA, Bassetti MF, Yang Y, Indovina L, Valentini V
    • Issue date: 2021 Apr
    • Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study.
    • Authors: Petresc B, Lebovici A, Caraiani C, Feier DS, Graur F, Buruian MM
    • Issue date: 2020 Jul 14
    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.