Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
  Users Online: 943 Home Print this page Email this page Small font sizeDefault font sizeIncrease font size  
Year : 2013  |  Volume : 3  |  Issue : 1  |  Page : 22-26

Significance of nuclear morphometry in benign and malignant breast aspirates

Department of Pathology, Sri Devraj Urs Academy of Higher Education and Research, Tamaka, Kolar, Karnataka, India

Correspondence Address:
Aparna Narasimha
No. 22, "Moyenvilla", Moyenville Road, Langford Town, Bangalore - 25
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2229-516X.112237

Rights and Permissions

Background: Breast carcinoma is one of the most common cancers occurring in the female population world-wide. Normal cells gradually transform to form the cancer cells through several stages. Nuclear changes occurring during these transformational steps need to be assessed objectively. Hence nuclear morphometry can be used as a diagnostic tool. Aim: To compare the nuclear morphometric parameters of benign and malignant breast aspirates. Study Design: Cytology was used to categorize aspirates from the breast lumps in to malignant (30 cases), and benign (30 cases). Nuclear parameters were calculated using the Image J 1.44C morphometric software. Several nuclear size parameters were analyzed. Results: The nuclear area, perimeter, diameter, compactness, and concave points were found to be statistically significant ( P < 0.05) parameters in differentiating benign, and malignant aspirates. Conclusion: Nuclear morphometry was thus, a useful objective tool in the differentiating benign, and malignant breast lesions.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded511    
    Comments [Add]    
    Cited by others 6    

Recommend this journal