Linked Life Data

2022220

Source:http://linkedlifedata.com/resource/pubmed/id/2022220

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1991-6-4
pubmed:abstractText
We studied 55 renal tissue samples from 16 patients corresponding to normal (19 samples, group 1), low-grade (18 samples, group 2), and high-grade (18 samples, group 3) tumoral tissues. For this purpose, we used digital cell image analysis (the SAMBA 200 processor) to describe the morphonuclear patterns of Feulgen-stained nuclei from the 3 above-mentioned groups. Our results show that nuclear DNA ploidy is positively correlated with histopathological differentiation, which is also positively correlated with an increase in nuclear DNA heterogeneity. Morphometric and textural parameters computed on such Feulgen-stained nuclei make it possible to describe the typical morphonuclear patterns of normal, low-grade, and high-grade neoplastic renal tissues. Using multiparametric, i.e. principal-component and canonical analyses, we set up preliminary morphonuclear data banks that we used to assess the diagnosis of 6 ungraded samples. We expect that this kind of morphonuclear data banks might be helpful, on one hand, to select specific morphonuclear parameters related to patient survival, and on the other hand to establish the cytological diagnosis of deep fine-needle aspiration material, sonographically assisted, on suspicious kidneys. Such hypotheses are now under further study.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0302-2838
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
155-64
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Use of computerized cell image analysis to characterize cell nucleus populations from normal and neoplastic renal tissues.
pubmed:affiliation
Department of Pathology, Hôpital Brugmann, Brussels, Belgium.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't