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    Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk.

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    Authors
    Thomson, David J
    Boylan, Christopher J
    Liptrot, Tom
    Aitkenhead, Adam H
    Lee, Lip W
    Yap, Beng K
    Sykes, Andrew J
    Rowbottom, Carl G
    Slevin, Nicholas J
    Affiliation
    Department of Clinical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK. Nick.Slevin@christie.nhs.uk.
    Issue Date
    2014
    
    Metadata
    Show full item record
    Abstract
    The accurate definition of organs at risk (OARs) is required to fully exploit the benefits of intensity-modulated radiotherapy (IMRT) for head and neck cancer. However, manual delineation is time-consuming and there is considerable inter-observer variability. This is pertinent as function-sparing and adaptive IMRT have increased the number and frequency of delineation of OARs. We evaluated accuracy and potential time-saving of Smart Probabilistic Image Contouring Engine (SPICE) automatic segmentation to define OARs for salivary-, swallowing- and cochlea-sparing IMRT.
    Citation
    Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk. 2014, 9:173 Radiat Oncol
    Journal
    Radiation Oncology
    URI
    http://hdl.handle.net/10541/326350
    DOI
    10.1186/1748-717X-9-173
    PubMed ID
    25086641
    Type
    Article
    Language
    en
    ISSN
    1748-717X
    ae974a485f413a2113503eed53cd6c53
    10.1186/1748-717X-9-173
    Scopus Count
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