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Diagnostic value of salivary gland ultrasonography scoring systems in Sj(o)gren's syndrome / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 394-398, 2017.
Article in Chinese | WPRIM | ID: wpr-608764
ABSTRACT
Objective To explore the value of salivary glands ultrasonography in diagnosis of Sj(o)gren's syndrome (SS).Methods Ninety-two patients with symptoms of xerophthalmia or xerostomia were enrolled,and 42 of them were divided to the SS group and the others to non-SS group.The bilateral parotid and submandibular gland of all patients were examined with ultrasonography,then the ultrasonographic features of bilateral salivary glands were obtained.The imaging features of salivary glands were evaluated by a semi-quantitative scoring system.The differences of ultrasonography scores between SS group and non-SS group were compared.The value of semi-quantitative scoring system in diagnosis of SS was analyzed.Results Salivary gland ultrasonic manifestations of 38 patients (38/50,76.00%) in non-SS group were normal,whose ultrasonographic scores were 0.Whereas the ultrasound of 32 patients (32/42,76.19%) were abnormalities in SS group,whose ultrasonographic scores were ≥1.Ultrasonographic scores in SS group were higher than that of non-SS group (P<0.001).The area under the ROC curve of ultrasound score in diagnosis of SS was 0.805 (P<0.001,95% confidence interval was [0.711,0.899]).When the cutoff value of the scores was 2,the sensitivity and specificity were 59.5 %,and 92.0%.Conclusion The ultrasonographic scoring of salivary glands can provide a semi-quantitative index for inhomogeneity of the salivary glands,which has significant value in the diagnosis of SS.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article