Linked Life Data

6485604

Source:http://linkedlifedata.com/resource/pubmed/id/6485604

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1984-11-19
pubmed:abstractText
131 pituitary adenomas (50 growth hormone-secreting adenomas, 19 prolactinomas, 7 adenomas associated with Cushing's disease and 55 endocrine-inactive adenomas) have been investigated morphometrically and densitometrically by use of a system for automated microscope picture analysis (AMBA). To classify the adenomas as good as possible we used a hierarchically structured classifier which uses the measured parameters. The adenomas associated with Cushing's disease differed mostly from the inactive tumors in their karyometric features. We found similar differences for growth hormone-secreting adenomas, whereas prolactinomas showed only small differences. Partly clear differences by multidimensional analysis appeared between adenomas associated with Cushing's disease, somatotropic adenomas and prolactinomas. Most of the clinically inactive tumours (37/55) showed similarities with the active adenomas. Only in 18 inactive tumors we could not find feature combinations corresponding with those of endocrine-active adenomas.
pubmed:language
ger
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0044-4030
pubmed:author
pubmed:issnType
Print
pubmed:volume
129
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
201-8
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1984
pubmed:articleTitle
[Multidimensional analysis of automatically measured karyometric data on pituitary adenomas].
pubmed:publicationType
Journal Article, English Abstract