Title
Elastography evaluation of benign and malignant breast lesions with histopathological data
Authors
Sonali Priyadarsini Reddy, Rajeev Kumar Ranjan, Suresh Kumar Toppo, Anima Ranjni Xalxo*, Shahrukh Ansari, Soumik Pal, Mohd Ismail & Manisha Oraon
Affiliation
Department of Radiodiagnosis, Rajendra Institute of Medical Science, Ranchi, Jharkhand, India; *Corresponding author
Sonali Priyadarsini Reddy - E-mail:
Sonalipriyadarsinireddy20@gmail.com
Rajeev Kumar Ranjan - E-mail: drrkranjanmd@gmail.com
Suresh Kumar Toppo - E-mail:
rddrsuresh2205@gmail.com
Anima Ranjni Xalxo - E-mail: dr.animaxalxo@gmail.com
Shahrukh Ansari - E-mail: mshahrukh066@gmail.com
Soumik Pal - E-mail: soumikpalcmc@gmail.com
Mohd Ismail - E-mail: mohdismail.ismail88@gmail.com
Manisha Oraon - E-mail: oraonmanisha3007@gmail.com
Article Type
Research Article
Date
Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025
Abstract
Breast cancer remains a major health challenge and distinguishing benign from malignant breast lesions is essential to prevent unnecessary procedures and ensure timely treatment. Therefore, it is of interest to evaluate the diagnostic performance of strain elastography in 181 patients with breast lesions. Strain elastography demonstrated significantly higher strain ratios in malignant lesions than benign ones, with a cutoff of ≥3.0 yielding high sensitivity (87.1%) and specificity (90.9%). A strong correlation was observed between elastography findings and histopathology. Strain elastography offers high diagnostic accuracy and can effectively complement routine ultrasound to improve breast lesion characterization.
Keywords
Breast lesions, elastography, strain ratio, histopathological correlation, diagnostic accuracy, breast cancer
Citation
Reddy et al. Bioinformation 21(12): 4880-4884 (2025)
Edited by
Hiroj Bagde
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
