Added Value of Superb Microvascular Imaging and Virtual Touch Imaging Quantification in Assisting Thyroid Cancer Classification

This prospective study determined the value added by superb microvascular imaging (SMI) and Virtual Touch imaging quantification (VTIQ) to conventional ultrasonography in classifying malignant and benign thyroid nodules. One hundred eighty-three thyroid nodules (TNs) in 120 patients (112 benign and...

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Bibliographic Details
Main Authors: Deng, S.-H (Author), Jiang, Q. (Author), Shan, J. (Author), Shi, X.-R (Author), Zhang, Y. (Author), Zhu, Y.-C (Author)
Format: Article
Language:English
Published: Elsevier Inc. 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 04201nam a2200949Ia 4500
001 10.1016-j.ultrasmedbio.2021.07.017
008 220427s2021 CNT 000 0 und d
020 |a 03015629 (ISSN) 
245 1 0 |a Added Value of Superb Microvascular Imaging and Virtual Touch Imaging Quantification in Assisting Thyroid Cancer Classification 
260 0 |b Elsevier Inc.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ultrasmedbio.2021.07.017 
520 3 |a This prospective study determined the value added by superb microvascular imaging (SMI) and Virtual Touch imaging quantification (VTIQ) to conventional ultrasonography in classifying malignant and benign thyroid nodules. One hundred eighty-three thyroid nodules (TNs) in 120 patients (112 benign and 71 malignant TNs) were evaluated. SMI revealed noticeable variance between benign and malignant TNs (p < 0.001). Malignant nodules tended to have rich vascularity (grade 3: 38/71, 53.5%) compared with benign nodules (grade 3: 33/112, 29.5%). There is a statistically significant difference between malignant and benign TNs with respect to shear-wave speed (SWS) values (all p values <0.001). The SWS mean, maximum and ratio of malignant nodules were 3.97 ± 1.34, 4.79 ± 1.70 and 1.25 ± 0.39, respectively. The SWS mean, maximum and ratio of benign nodules were 2.65 ± 0.42, 2.97 ± 0.46 and 1.15 ± 0.35, respectively. With respect to area under the curve values, the combined use of SMI or VTIQ improved the diagnostic performance of classifying malignant and benign TNs compared with that of ultrasonography alone. The combination of three modalities achieved the greatest area under the curve values (0.9811, 95% confidence interval: 0.95529–1.000), followed by US + VTIQ (0.9747, 0.94543–1.000), US + SMI (0.9032, 0.85345–0.95391) and ultrasonography (0.8291, 0.76417–0.89403). © 2021 The Authors 
650 0 4 |a adult 
650 0 4 |a Areas under the curves 
650 0 4 |a Article 
650 0 4 |a B scan 
650 0 4 |a Blood vessels 
650 0 4 |a cancer classification 
650 0 4 |a controlled study 
650 0 4 |a Diagnosis 
650 0 4 |a Diagnosis, Differential 
650 0 4 |a diagnostic imaging 
650 0 4 |a diagnostic imaging 
650 0 4 |a diagnostic test accuracy study 
650 0 4 |a diagnostic value 
650 0 4 |a differential diagnosis 
650 0 4 |a Diseases 
650 0 4 |a Doppler ultrasound 
650 0 4 |a Doppler ultrasound 
650 0 4 |a echography 
650 0 4 |a Elasticity Imaging Techniques 
650 0 4 |a elastography 
650 0 4 |a Elastography 
650 0 4 |a Elastography 
650 0 4 |a female 
650 0 4 |a fine needle aspiration biopsy 
650 0 4 |a histopathology 
650 0 4 |a human 
650 0 4 |a human tissue 
650 0 4 |a Humans 
650 0 4 |a major clinical study 
650 0 4 |a male 
650 0 4 |a Mean maximums 
650 0 4 |a Mean ratio 
650 0 4 |a Medical imaging 
650 0 4 |a Microvascular 
650 0 4 |a middle aged 
650 0 4 |a nodular goiter 
650 0 4 |a Prospective Studies 
650 0 4 |a prospective study 
650 0 4 |a receiver operating characteristic 
650 0 4 |a sensitivity and specificity 
650 0 4 |a Sensitivity and Specificity 
650 0 4 |a Shear flow 
650 0 4 |a Shear wave speed 
650 0 4 |a Shear waves 
650 0 4 |a superb microvascular imaging 
650 0 4 |a thyroid cancer 
650 0 4 |a Thyroid cancer 
650 0 4 |a Thyroid cancers 
650 0 4 |a Thyroid Neoplasms 
650 0 4 |a thyroid nodule 
650 0 4 |a thyroid nodule 
650 0 4 |a Thyroid nodule 
650 0 4 |a Thyroid Nodule 
650 0 4 |a thyroid papillary carcinoma 
650 0 4 |a thyroid tumor 
650 0 4 |a tumor differentiation 
650 0 4 |a tumor vascularization 
650 0 4 |a tumor volume 
650 0 4 |a Ultrasonography 
650 0 4 |a Ultrasonography 
650 0 4 |a Ultrasonography 
650 0 4 |a Virtual touch 
650 0 4 |a virtual touch imaging quantification 
700 1 |a Deng, S.-H.  |e author 
700 1 |a Jiang, Q.  |e author 
700 1 |a Shan, J.  |e author 
700 1 |a Shi, X.-R.  |e author 
700 1 |a Zhang, Y.  |e author 
700 1 |a Zhu, Y.-C.  |e author 
773 |t Ultrasound in Medicine and Biology