TY - JOUR
T1 - Combination of Salivary Gland Ultrasonography and Virtual Touch Quantification for Diagnosis of Sjögren's Syndrome
T2 - A Preliminary Study
AU - Chen, Shaoqi
AU - Wang, Yukai
AU - Zhang, Guohong
AU - Chen, Shigao
N1 - Publisher Copyright:
© 2016 Shaoqi Chen et al.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85008707988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85008707988&partnerID=8YFLogxK
U2 - 10.1155/2016/2793898
DO - 10.1155/2016/2793898
M3 - Article
C2 - 28078285
AN - SCOPUS:85008707988
SN - 2314-6133
VL - 2016
JO - BioMed Research International
JF - BioMed Research International
M1 - 2793898
ER -