Linked Life Data

8249888

Source:http://linkedlifedata.com/resource/pubmed/id/8249888

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1993-12-27
pubmed:abstractText
The authors report a scoring system based on cell image analysis of specimens obtained during endoscopic retrograde cholangiopancreatography from either the biliary or pancreatic duct epithelium. Nine normal, 20 inflammatory, and 19 malignant epithelia were assessed using a cell-image processor that permits determination of morphometric (nuclear area), densitometric (nuclear DNA content), and textural (chromatin distribution) parameters on Feulgen-stained nuclei. The score is based on three densitometric parameters: the DNA histogram type, the nuclear DNA content, and the percent proliferating cell population. These parameters permit distinction of normal and inflammatory from malignant epithelium with 95% sensitivity and 100% specificity. Cell-image analysis of specimens obtained during endoscopic retrograde cholangiopancreatography is a useful clinical tool in the detection of malignant lesions of the pancreas and biliary epithelia.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0002-9173
pubmed:author
pubmed:issnType
Print
pubmed:volume
100
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
497-501
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
Use of cell image analysis in the detection of cancer from specimens obtained during endoscopic retrograde cholangiopancreatography.
pubmed:affiliation
Department of Internal Medicine, University of Virginia Health Sciences Center, Charlottesville.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't