Linked Life Data

17021779

Source:http://linkedlifedata.com/resource/pubmed/id/17021779

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2006-12-20
pubmed:abstractText
Recent findings show that tumor volume is a significant prognostic factor for the treatment of nasopharyngeal carcinoma (NPC). The inclusion of tumor volume as an additional prognostic factor in the UICC TNM classification system was suggested; however, how tumor volume could possibly be incorporated is still unexplored. In this paper, we report a quantitative analysis on the relationship between NPC tumor volume and T-classification, using the data from 206 NPC patients. By T-classification and semi-automatic tumor volume measurement, the difference in tumor volumes among the various TNM T-classification groups was examined. In addition, a statistics-based analysis scheme, which used the T-classification as the "gold standard", was proposed to classify NPC tumors into volume-based groups to explore the possible links. The results show that NPC tumor volume has positive correlation with advancing T-classification groups and significant difference existed in the distribution of T-classification among various volume-based groups (P < 0.001). By the proposed statistical scheme, tumor volume could be included as an additional prognostic factor in the TNM framework, following validation studies.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0937-4477
pubmed:author
pubmed:issnType
Print
pubmed:volume
264
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
169-74
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
The relationship between nasopharyngeal carcinoma tumor volume and TNM T-classification: a quantitative analysis.
pubmed:affiliation
Biomedical Engineering Research Centre, School of Chemical and Biomedical Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, Singapore. jyzhou@ntu.edu.sg
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't