Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk.
Authors
Thomson, David JBoylan, 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
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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 OncolJournal
Radiation OncologyDOI
10.1186/1748-717X-9-173PubMed ID
25086641Type
ArticleLanguage
enISSN
1748-717Xae974a485f413a2113503eed53cd6c53
10.1186/1748-717X-9-173
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