CC BY-NC-ND 4.0 · South Asian J Cancer 2022; 11(01): 003-008
DOI: 10.1055/s-0040-1721215
Original Article
Breast Cancer

Correlation of Nuclear Morphometry with Clinicopathologic Parameters in Malignant Breast Aspirates

Shivani Kalhan
1   Department of Pathology, SHKM GMC Nalhar, Nuh, Haryana, India
,
Shilpa Garg
1   Department of Pathology, SHKM GMC Nalhar, Nuh, Haryana, India
,
Rahul N. Satarkar
1   Department of Pathology, SHKM GMC Nalhar, Nuh, Haryana, India
,
Puja Sharma
1   Department of Pathology, SHKM GMC Nalhar, Nuh, Haryana, India
,
Sonia Hasija
1   Department of Pathology, SHKM GMC Nalhar, Nuh, Haryana, India
,
Sonia Sharma
2   Department of Pathology, Army Hospital (Research and Referral), New Delhi, India
› Author Affiliations
Funding Nil.

Abstract

Zoom Image
Shilpa Garg

Background Nuclear size, shape, chromatin pattern, and nucleolar size and number have all been reported to change in breast cancer.

Aim The aim of the study was to quantify nuclear changes on malignant breast aspirates using morphometry and to correlate the morphometric parameters with clinicopathologic features such as cytologic grade, tumor size, lymph node status, mitotic index, and histopathologic grade.

Materials and Methods Forty-five cases of carcinoma breast diagnosed on cytology were included in this study. Cytologic grading was performed as per the Robinson's cytologic grading system. Nuclear morphometry was done on Papanicolaou stained smears. One hundred nonoverlapping cells per case were evaluated. Both geometrical and textural parameters were evaluated.

Results Comparison of cytologic grades with most morphometric features (nuclear area, perimeter, shape, long axis, short axis, intensity, total run length, and TI homogeneity) was highly significant on statistical analysis. Correlation with tumor size yielded significant results for nuclear area, perimeter, long and short axes, and intensity with p < 0.05. The study of lymph node status and morphometry showed a highly significant statistical association with all the parameters. Mitotic count was significantly associated with all the geometric parameters and one textural parameter (total run length). On correlation of ductal carcinoma in situ and histopathological Grades 1 to 3 with morphometry, it was found that all the parameters except long–run emphasis were highly significant with p < 0.001.

Conclusion Morphometry as a technique holds immense promise in prognostication in breast carcinoma.



Publication History

Article published online:
31 December 2021

© 2021. MedIntel Services Pvt Ltd. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 
  • References

  • 1 Rajaraman P, Anderson BO, Basu P. et al. Recommendations for screening and early detection of common cancers in India. Lancet Oncol 2015; 16 (07) e352-e361
  • 2 Kumar P, Bolshette NB, Jamdade VS. et al. Breast cancer status in India: an overview. Biomed Prev Nutr 2013; 3: 177-183
  • 3 Robinson IA, McKee G, Nicholson A. et al. Prognostic value of cytological grading of fine-needle aspirates from breast carcinomas. Lancet 1994; 343 (8903) 947-949
  • 4 Pienta KJ, Coffey DS. Correlation of nuclear morphometry with progression of breast cancer. Cancer 1991; 68 (09) 2012-2016
  • 5 Abdalla F, Boder J, Buhmeida A, Hashmi H, Elzagheid A, Collan Y. Nuclear morphometry in FNABs of breast disease in Libyans. Anticancer Res 2008; 28 (6B) 3985-3989
  • 6 Aggarwal G, Singh S, Marwah S. et al. Morphometric analysis in breast lesions. A rapid conjunct to intraoperative imprint smears. Middle East J Cancer 2012; 3: 1-8
  • 7 Prvuloviă I, Kardum-Skelin I, Susterciă D, Jakiă-Razumoviă J, Manojloviă S. Morphometry of tumor cells in different grades and types of breast cancer. Coll Antropol 2010; 34 (01) 99-103
  • 8 Tahlan A, Nijhawan R, Joshi K. Grading of ductal breast carcinoma by cytomorphology and image morphometry with histologic correlation. Anal Quant Cytol Histol 2000; 22 (03) 193-198
  • 9 Baak JP, Van Dop H, Kurver PH, Hermans J. The value of morphometry to classic prognosticators in breast cancer. Cancer 1985; 56 (02) 374-382
  • 10 Ikpatt OF, Kuopio T, Collan Y. Nuclear morphometry in African breast cancer. Image Anal Stereol 2011; 21: 145