Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk.
| dc.contributor.author | Thomson, David J | |
| dc.contributor.author | Boylan, Christopher J | |
| dc.contributor.author | Liptrot, Tom | |
| dc.contributor.author | Aitkenhead, Adam H | |
| dc.contributor.author | Lee, Lip W | |
| dc.contributor.author | Yap, Beng K | |
| dc.contributor.author | Sykes, Andrew J | |
| dc.contributor.author | Rowbottom, Carl G | |
| dc.contributor.author | Slevin, Nicholas J | |
| dc.date.accessioned | 2014-09-22T09:13:49Z | |
| dc.date.available | 2014-09-22T09:13:49Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk. 2014, 9:173 Radiat Oncol | en |
| dc.identifier.issn | 1748-717X | |
| dc.identifier.pmid | 25086641 | |
| dc.identifier.doi | 10.1186/1748-717X-9-173 | |
| dc.identifier.uri | http://hdl.handle.net/10541/326350 | |
| dc.description.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. | |
| dc.language.iso | en | en |
| dc.rights | Archived with thanks to Radiation oncology (London, England) | en |
| dc.title | Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk. | en |
| dc.type | Article | en |
| dc.contributor.department | Department of Clinical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK. Nick.Slevin@christie.nhs.uk. | en |
| dc.identifier.journal | Radiation Oncology | en |
| html.description.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. |