Linked Life Data

6201327

Source:http://linkedlifedata.com/resource/pubmed/id/6201327

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1984-6-19
pubmed:abstractText
A preliminary study of foam cells from nipple aspirate fluid demonstrated the ability of image analysis to discriminate categories of breast disease. Foam cell images numbering 471 were collected from nipple aspirate samples representing three to six cases of each of the four following disease categories based on breast tissue diagnosis: benign, nonproliferative; hyperplasia; atypical hyperplasia; and cancer. Twenty-two shape and density parameters were measured for each cell image. Using multivariate analysis, eight nuclear and three cytoplasmic parameters showed significant differences (P less than 0.005) when tested among cell populations from the breast disease categories. Linear stepwise discriminant analysis enabled construction of a three-parameter model that was optimal for distinguishing among cell populations from the four categories of breast disease. The means of all twenty-three parameters were then evaluated on a per-patient basis. A second three-parameter model was constructed that distinguished, with 100% accuracy, patients with proliferative disease from those with nonproliferative disease. Grouping disease categories and comparing patients whose diagnosis was benign or hyperplasia versus atypical hyperplasia or malignant, the model placed patients in the correct group 83% of the time.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0196-4763
pubmed:author
pubmed:issnType
Print
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
124-30
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1984
pubmed:articleTitle
Analytic studies of foam cells from breast cancer precursors.
pubmed:publicationType
Journal Article