Abstract

INTRODUCTION: Real-time elastography (RTE) is a non-invasive ultrasound method of estimation of tissue stiffness by measuring the degree
of local tissue displacements after a small compression. Recent data has shown its ability to differentiate benign from malignant tumours.
The aim of this study was to evaluate the accuracy of RTE in the diagnosis of malignant and benign thyroid nodules.

MATERIAL AND METHODS: 71 thyroid nodules in 52 patients: 42 females and 10 males aged 28-77 were examined using conventional ultrasonography
(US), fine-flow CD imaging and RTE. All nodules previously underwent fine-needle aspiration biopsy (FNAB), and patients
with malignant and suspicious cytological results were referred for surgery. The final diagnosis was based on FNAB results in patients
with benign cytology and on the histopathology reading in those who underwent surgery. An elasticity score (ES) from 1 to 5 was determined
for each nodule according to the Ueno classification.

RESULTS: An elasticity score (ES) of 4 or 5 was found in 19 out of 22 (86.5%) thyroid cancers and in only 1 out of 31 (3%) benign nodules. This
was strongly indicative for malignancy (p < 0.0001) with sensitivity 86%, specificity 97%, positive predictive value (PPV) 95% and negative
predictive value (NPV) 91%.

CONCLUSIONS: RTE is a highly sensitive and specific method of diagnosing thyroid nodules. This technique can be employed in selecting
thyroid nodules for fine-needle aspiration biopsy.
(Pol J Endocrinol 2010; 61 (6): 652-657)

Details

Title
Real-time ultrasound elastography - a new tool for diagnosing thyroid nodules
Author
Gietka-Czernel, Małgorzata 1 ; Kochman, Magdalena; Bujalska, Karolina; Stachlewska-Nasfeter, Elżbieta; Zgliczyński, Wojciech

 Department of Endocrinology, The Medical Centre of Postgraduate Education, Warsaw, Poland 
First page
652
End page
657
Publication year
2010
Publication date
2010
Publisher
Wydawnictwo Via Medica
ISSN
0423104X
Source type
Scholarly Journal
Language of publication
Polish
ProQuest document ID
2464207469
Copyright
© 2010. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.