Linked Life Data

15492804

Source:http://linkedlifedata.com/resource/pubmed/id/15492804

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2004-10-19
pubmed:abstractText
This study was designed to compare the prediction of recurrence based on detection of occult neoplastic cells (ONCs) in lymph nodes or by using high-risk criteria for recurrence/metastasis in patients with Dukes' B colorectal cancer. Prediction of recurrence based on the detection of ONCs had a sensitivity of 59.1% (13/22), a false-positive rate of 7.8% (8/102), a specificity of 92.2% (94/102), and a negative predictive value (NPV) of 91.3% (94/103). Prediction of recurrence based on positivity for at least 2 of the 3 high-risk criteria had a sensitivity of 90.9% (20/22), a false-positive rate of 49.0% (50/102), a specificity of 51.0% (52/102), and an NPV of 96.3% (52/54). Among the 21 patients in whom ONCs were detected, prediction of recurrence based on the presence of all 3 high-risk criteria including ONCs had a sensitivity of 84.6% (11/13) and a positive predictive value (PPV) of 78.6% (11/14). These results suggest that colorectal cancer is unlikely to recur in patients without ONCs, while recurrence is likely in patients who fulfill 2 or more of the high-risk criteria. Accordingly, a combination of these parameters may be useful for the early prediction of recurrence/metastasis to assist in the choice of postoperative systemic chemotherapy.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1021-335X
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1127-30
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Predicting recurrence and metastasis of stage II/Dukes' B colorectal cancer without lymph node metastasis.
pubmed:affiliation
Department of Surgery, Tokai University, Oiso Hospital, Oiso, Kanagawa 259-0198, Japan. onc-res@oiso.u-tokai.ac.jp
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't