20941816

Source:http://linkedlifedata.com/resource/pubmed/id/20941816

Download in:

Switch to

Custom View

Named Graph Language Inference

Statements in which the resource exists as a subject.
Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0025663, umls-concept:C0231174, umls-concept:C0439148, umls-concept:C1521840, umls-concept:C1831735
pubmed:issue	3
pubmed:dateCreated	2010-10-13
pubmed:abstractText	Helical tomotherapy has been in clinical use for several years. One of the issues with a helical tomotherapy unit is the failure of detection of the x-ray target. In this study, we are proposing a method to detect potential failure of the x-ray target.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/100883428
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	1107-0625
pubmed:author	pubmed-author:EsquivelCC, pubmed-author:GutierrezAA, pubmed-author:PapanikolaouNN, pubmed-author:SheGG, pubmed-author:StathakisSS
pubmed:issnType	Print
pubmed:volume	15
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	496-9
pubmed:meshHeading	pubmed-meshheading:20941816-Humans, pubmed-meshheading:20941816-Quality Assurance, Health Care, pubmed-meshheading:20941816-Tomography, Spiral Computed
pubmed:articleTitle	A practical method to detect target failure of a helical tomotherapy unit.
pubmed:affiliation	Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA. stathakis@uthscsa.edu
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't