Document Detail


Automated image morphometry of lobular breast carcinoma.
MedLine Citation:
PMID:  12026054     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To analyze the role of automated image morphometry (AIM) in distinguishing infiltrating lobular carcinoma (ILC) of the breast from benign, borderline and infiltrating ductal carcinoma (IDC). STUDY DESIGN: Only histopathologically proven lobular carcinoma, ductal carcinoma, borderline lesions and benign breast lesions were selected for the study. There were 19 cases of ILC and 30 cases of IDC, 20 cases of benign lesions (fibroadenoma, 18; fibrocystic disease, 1; and fibroadenosis, 1); 10 cases were borderline lesions (mild epithelial hyperplasia, 3; moderate epithelial hyperplasia, 2; florid epithelial hyperplasia 4; intraductal papillary carcinoma, 1). In all cases hematoxylin and eosin-stained slides were used for AIM. At least 100 cells from each case were subjected to analysis randomly with an image cytometer with Leica Quantimet 600 software (Cambridge, England). Nuclear area, diameter, perimeter, convex perimeter, convex area and roundness were measured in each case with random, unbiased selection of cells and 40 x objectives (one pixel = 0.46 microm). AIM data on the cases were analyzed in relation to final cytologic diagnosis. RESULTS: All the nuclear morphometric features of ILC were much lower than those of IDC and borderline lesions, whereas nuclear morphometric data on ILC were only marginally more than those on benign cases. ANOVA showed that mophometric data were significant (P < .05) in all the variables between ILC and IDC. However, there was no significant difference between ILC, and borderline and benign cases. CONCLUSION: Image morphometry may be useful in distinguishing ILC from IDC on cytologic smears. However, morphometric data may not be helpful in distinguishing benign and borderline lesions from ILC.
Authors:
Logasundaram Rajesh; Pranab Dey; Kusum Joshi
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Analytical and quantitative cytology and histology / the International Academy of Cytology [and] American Society of Cytology     Volume:  24     ISSN:  0884-6812     ISO Abbreviation:  Anal. Quant. Cytol. Histol.     Publication Date:  2002 Apr 
Date Detail:
Created Date:  2002-05-23     Completed Date:  2002-11-07     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8506819     Medline TA:  Anal Quant Cytol Histol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  81-4     Citation Subset:  IM    
Affiliation:
Department of Pathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India. pranab@sancharnet.in
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MeSH Terms
Descriptor/Qualifier:
Biopsy, Needle
Breast / pathology
Breast Neoplasms / pathology*
Carcinoma, Ductal, Breast / pathology
Carcinoma, Intraductal, Noninfiltrating / pathology
Carcinoma, Lobular / pathology*
Cell Nucleus / pathology
Diagnosis, Differential
Female
Fibroadenoma / pathology
Fibrocystic Breast Disease / pathology
Humans
Hyperplasia / pathology
Image Cytometry / methods*
Image Processing, Computer-Assisted*

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


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