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    MRI and CBCT for lymph node identification and registration in patients with NSCLC undergoing radical radiotherapy

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    Authors
    Dubec, Michael
    Brown, S
    Chuter, Robert
    Hales, Rosie
    Whiteside, Lee
    Rodgers, John
    Parker, Jacqui
    Eccles, Cynthia L
    van Herk, Marcel
    Faivre-Finn, Corinne
    Cobben, David
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    Affiliation
    Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester
    Issue Date
    2021
    
    Metadata
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    Abstract
    Purpose: This study compared MRI to CBCT for the identification and registration of lymph nodes (LN) in patients with locally advanced (LA)-NSCLC, to assess the suitability of targeting LNs in future MR-image guided radiotherapy (MRgRT) workflows. Method: Radiotherapy radiographers carried out Visual Grading Analysis (VGA) assessment of image quality, LN registration and graded their confidence in registration for each of the 24 LNs on CBCT and two MR sequences, MR1 (T2w Turbo Spin Echo) and MR2 (T1w DIXON water only image). Results: Pre-registration image quality assessment revealed MR1 and MR2 as significantly superior to CBCT in terms of image quality (p ≤ 0.01). No significant differences were noted in interobserver variability for LN registration between CBCT, MR1 and MR2. Observers were more confident in their MR registrations compared to their CBCT based LN registrations (p ≤ 0.02). Summary: Interobserver setup correction variability was not found to be significantly different between CBCT and MR. Image quality and registration confidence were found to be superior for MRI sequences. This is a promising step towards MR-guided radiotherapy for the treatment of LA-NSCLC
    Citation
    Dubec M, Brown S, Chuter R, Hales R, Whiteside L, Rodgers J, et al. MRI and CBCT for lymph node identification and registration in patients with NSCLC undergoing radical radiotherapy. Radiother Oncol. 2021;159:112-8.
    Journal
    Radiotherapy and Oncology
    URI
    http://hdl.handle.net/10541/623918
    DOI
    10.1016/j.radonc.2021.03.015
    PubMed ID
    33775713
    Additional Links
    https://dx.doi.org/10.1016/j.radonc.2021.03.015
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.radonc.2021.03.015
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