ArticleInternational journal of applied & basic medical research2013
Significance of nuclear morphometry in benign and malignant breast aspirates.
Article in International journal of applied & basic medical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 30 citations in OpenAlex.
- Spatially Resolved Single-Cell Morphometry of Benign Breast Disease Biopsy Images Uncovers Quantitative Cytomorphometric Features Predictive of Subsequent Invasive Breast Cancer Risk.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025Article
- Prognostic and therapeutic implications of tumor-restrictive type III collagen in the breast cancer microenvironment.NPJ breast cancer · 2024Article
- Ribosome Biogenesis and Cancer: Insights into NOB1 and PNO1 Mechanisms.Current pharmaceutical design · 2024Review
- Article
- Third Harmonic Generation microscopy distinguishes malignant cell grade in human breast tissue biopsies.Scientific reports · 2020Article
- Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images.Scientific reports · 2017Article
- Learning accurate and interpretable models based on regularized random forests regression.BMC systems biology · 2014Article
- Image Analysis-Assisted Nuclear Morphometric Study of Benign and Malignant Breast Aspirates.Journal of microscopy and ultrastructureArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast 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.
aimTo compare the nuclear morphometric parameters of benign and malignant breast aspirates. STUDY
designCytology 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.
resultsThe nuclear area, perimeter, diameter, compactness, and concave points were found to be statistically significant (P < 0.05) parameters in differentiating benign, and malignant aspirates.
conclusionNuclear morphometry was thus, a useful objective tool in the differentiating benign, and malignant breast lesions.
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