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BioMed Research International
Volume 2016 (2016), Article ID 2793898, 6 pages
Research Article

Combination of Salivary Gland Ultrasonography and Virtual Touch Quantification for Diagnosis of Sjögren’s Syndrome: A Preliminary Study

1Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
2Department of Rheumatology, Shantou Central Hospital, Shantou, Guangdong, China
3Department of Pathology, Shantou University Medical College, Shantou, Guangdong, China
4Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN, USA

Received 21 July 2016; Accepted 23 November 2016

Academic Editor: Sadik A. Khuder

Copyright © 2016 Shaoqi Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A total of 136 subjects (51 SS patients, 35 sicca syndrome patients without SS, and 50 healthy volunteers) were enrolled in this study. The mean SWV value for salivary glands of SS patients was statistically higher than that of controls (2.81 ± 0.66 m/s versus 1.85 ± 0.28 m/s for parotid glands and 2.29 ± 0.34 m/s versus 1.82 ± 0.25 m/s for submandibular glands, resp.). Combining SWV values of parotid and submandibular glands gives a sensitivity of 88.2% (95% CI: 76.1–95.6%) and specificity of 96.0% (95% CI: 86.3–99.5%) at the cutoff point of 2.19 m/s, with an AUROC of 0.954 (95% CI: 0.893–0.986). In addition, combining SGUS score and SWV value yields a sensitivity of 98.0% (95% CI: 89.6–100%), specificity of 90.0% (95% CI: 78.2–96.7%), and AUROC of 0.962 (95% CI: 0.904–0.990). Classification tree considering the sequential use of SGUS score and SWV value achieved 92.1% accuracy for diagnosis of SS. Similarly, the ROC curve of combined SGUS scores and SWV values yields an AUROC of 0.954 (95% CI: 0.885–0.987), sensitivity of 97.1% (95% CI: 85.1–99.9%), and specificity of 92.2% (95% CI: 81.1–97.8%) for separating sicca syndrome patients (without SS) from SS patients. Combining SGUS and VTQ provides a promising tool for diagnosis of SS.