Document Detail


Which oral white lesions will become malignant? An image cytometric study.
MedLine Citation:
PMID:  2314859     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We investigated the value of image cytometry in predicting the prognosis of oral epithelial lesions, whether or not they show dysplasia. Thirty-five oral epithelial lesions were studied retrospectively. Of these, 23 had later transformed to carcinoma and 12 had not. By means of the Leitz TAS image analyzer, 200 nuclei of epithelial cells and 20 nuclei of lymphocytes from each section were individually assessed for eight features related to shape and amount of stain and for six features related to chromatin pattern. The mean, standard deviation, and interquartile range of each feature were calculated, first for each section and then for each group. With the use of linear stepwise discriminant analysis we constructed a predictive model, which consisted of three variables related to chromatin pattern. The variables were mean margination, standard deviation of clumping, and standard deviation of condensation. In the jackknife classification, this model predicted the malignant potential of the lesions that later transformed to cancer with 86% predictive value and 83% sensitivity.
Authors:
M Abdel-Salam; B H Mayall; K Chew; S Silverman; J S Greenspan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Oral surgery, oral medicine, and oral pathology     Volume:  69     ISSN:  0030-4220     ISO Abbreviation:  Oral Surg. Oral Med. Oral Pathol.     Publication Date:  1990 Mar 
Date Detail:
Created Date:  1990-04-25     Completed Date:  1990-04-25     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0376406     Medline TA:  Oral Surg Oral Med Oral Pathol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  345-50     Citation Subset:  D; IM    
Affiliation:
Oral Pathology Department, Alexandria University, Egypt.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Cell Nucleus / pathology*
Cell Transformation, Neoplastic
Chromatin / pathology*
Cytophotometry
Discriminant Analysis
Epithelium / pathology
Female
Humans
Karyometry
Male
Middle Aged
Mouth Neoplasms / pathology*
Predictive Value of Tests
Grant Support
ID/Acronym/Agency:
1RO3DE07971/DE/NIDCR NIH HHS
Chemical
Reg. No./Substance:
0/Chromatin

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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