Title
Sonoelastography in differentiating benign and malignant thyroid nodules: A histopathological correlation
Authors
Md Shahrukh Ansari1, Suresh Kumar Toppo1, Rajeev Kumar Ranjan1, Anima Ranjni Xalxo1,*, Sonali Priyadarsini Reddy1, Soumik Pal1, Riya Agarwal1 & Sumaiya Shikoh2
Affiliation
1Department of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India; 2Department of Obstetrics and Gynaecology, Tata main Hospital, Kadma, Jamshedpur, Jharkhand, India; *Corresponding author
Md Shahrukh Ansari - E-mail: mshahrukh066@gmail.com
Suresh Kumar Toppo - E-mail: rddrsuresh2205@gmail.com
Rajeev Kumar Ranjan - E-mail: drrkranjanmd@gmail.com
Anima Ranjni Xalxo - E-mail: dr.animaxalxo@gmail.com
Sonali Priyadarsini Reddy - E-mail:
Sonalipriyadarsinireddy20@gmail.com
Soumik Pal - E-mail: soumikpalcmc@gmail.com
Riya Agarwal - E-mail: riyarmg@gmail.com
Sumaiya Shikoh - E-mail: Shikohsumaiya@gmail.com
Article Type
Research Article
Date
Received October 1, 2025; Revised October 31, 2025; Accepted October 31, 2025, Published October 31, 2025
Abstract
Thyroid nodules are common and distinguishing benign from malignant ones is essential for optimal management. This cross-sectional study of 120 patients assessed Acoustic Radiation Force Impulse (ARFI) imaging in differentiating thyroid nodules, correlating results with histopathology. Malignant nodules showed higher mean ARFI values (3.59 ± 0.7 m/s) than benign ones (1.98 ± 0.31 m/s). With a 2.8 m/s cutoff, ARFI achieved 92.6% sensitivity and 92.9% specificity. Combining ARFI with conventional ultrasound improved diagnostic accuracy, highlighting its potential to reduce unnecessary biopsies.
Keywords
Thyroid nodules, sonoelastography, ARFI, ultrasound, malignancy, histopathology
Citation
Ansari et al. Bioinformation 21(10): 3744-3748 (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.
