Distinguishing benign from malignant thyroid nodules using thyroid ultrasonography: utility of adding superb microvascular imaging and elastography

Distinguishing benign from malignant thyroid nodules using thyroid ultrasonography: utility of... Objective Thyroid nodules are common; however, malignancy is less than 7%. Therefore, additional techniques such as Doppler ultrasonography or elastography are used to improve diagnostic performance of conventional ultrasonography. We want to prospectively investigate the use of additional superb microvascular imaging (SMI) and strain elastography to B-mode ultrasound in thyroid nodules in distinguishing benign from malignant thyroid nodules. Methods We analyzed 52 thyroid nodules (malignant = 26, benign = 26) and reviewers scored the likelihood of malig- nancy for three data sets (i.e., B-mode ultrasonography alone, B-mode ultrasonography + SMI, and B-mode ultrasonog- raphy + strain elastography). The area under the receiver-operating characteristic curve (Az) values, sensitivities, and specificities were compared. Results A comparison of the data sets revealed that area under the receiver-operating characteristic curve values were similar without statistical difference. However, on comparing sensitivity and specificity based on the management decision of whether to conduct fine-needle aspiration (FNA) after combining information from all three types of imaging (B-mode ultrasonography + SMI + strain elastography), specificity was significantly higher for the combined technique (34.6%) than for B-mode ultrasonography alone (11.5%), without decrease in sensitivity (P = 0.032). Conclusion Additional use of SMI and strain elastography could potentially lead to increase in specificity in thyroid ultrasonography. Keywords Elastography · Superb microvascular imaging · Thyroid nodule · http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png La radiologia medica Springer Journals

Distinguishing benign from malignant thyroid nodules using thyroid ultrasonography: utility of adding superb microvascular imaging and elastography

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Publisher
Springer Milan
Copyright
Copyright © 2017 by Italian Society of Medical Radiology
Subject
Medicine & Public Health; Imaging / Radiology; Diagnostic Radiology; Interventional Radiology; Neuroradiology; Ultrasound
ISSN
0033-8362
eISSN
1826-6983
D.O.I.
10.1007/s11547-017-0839-2
Publisher site
See Article on Publisher Site

Abstract

Objective Thyroid nodules are common; however, malignancy is less than 7%. Therefore, additional techniques such as Doppler ultrasonography or elastography are used to improve diagnostic performance of conventional ultrasonography. We want to prospectively investigate the use of additional superb microvascular imaging (SMI) and strain elastography to B-mode ultrasound in thyroid nodules in distinguishing benign from malignant thyroid nodules. Methods We analyzed 52 thyroid nodules (malignant = 26, benign = 26) and reviewers scored the likelihood of malig- nancy for three data sets (i.e., B-mode ultrasonography alone, B-mode ultrasonography + SMI, and B-mode ultrasonog- raphy + strain elastography). The area under the receiver-operating characteristic curve (Az) values, sensitivities, and specificities were compared. Results A comparison of the data sets revealed that area under the receiver-operating characteristic curve values were similar without statistical difference. However, on comparing sensitivity and specificity based on the management decision of whether to conduct fine-needle aspiration (FNA) after combining information from all three types of imaging (B-mode ultrasonography + SMI + strain elastography), specificity was significantly higher for the combined technique (34.6%) than for B-mode ultrasonography alone (11.5%), without decrease in sensitivity (P = 0.032). Conclusion Additional use of SMI and strain elastography could potentially lead to increase in specificity in thyroid ultrasonography. Keywords Elastography · Superb microvascular imaging · Thyroid nodule ·

Journal

La radiologia medicaSpringer Journals

Published: Dec 16, 2017

References

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