Semi-quantitative evaluation of salivary gland function in Sj?gren's syndrome using salivary gland scintigraphy
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  • 作者:Qiong Zou (1)
    Ju Jiao (1)
    Min-Hong Zou (1)
    Jie-Hua Xu (1)
    Yun-Feng Pan (2)
    Jian-Ning Chen (3)
    Mu-Hua Cheng (1)
    Feng Zhang (1)
    Yong Zhang (1)
  • 关键词:Labial salivary gland biopsy ; Salivary gland scintigraphy ; Semi ; quantitative parameters ; Sj?gren's syndrome
  • 刊名:Clinical Rheumatology
  • 出版年:2012
  • 出版时间:December 2012
  • 年:2012
  • 卷:31
  • 期:12
  • 页码:1699-1705
  • 全文大小:207KB
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  • 作者单位:Qiong Zou (1)
    Ju Jiao (1)
    Min-Hong Zou (1)
    Jie-Hua Xu (1)
    Yun-Feng Pan (2)
    Jian-Ning Chen (3)
    Mu-Hua Cheng (1)
    Feng Zhang (1)
    Yong Zhang (1)

    1. Department of Nuclear Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, China, 510630
    2. Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
    3. Department of Pathology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
  • ISSN:1434-9949
文摘
This retrospective study is designed to evaluate the diagnostic value of semi-quantitative parameters of salivary gland scintigraphy (SGS) in Sj?gren's syndrome (SS) and explore the relationship between SGS parameters and salivary gland histopathologic manifestations. SGS and labial salivary gland biopsy were performed on 95 SS patients and 36 healthy age-matched and sex-matched volunteers. Uptake ratios at 15?min (UR15) and stimulated excretion fraction (EF) of each parotid and submandibular gland were calculated automatically from SGS; histopathologic grades were classified based on focal lymphocytic infiltration, and biopsy focus scores were calculated simultaneously. As a result, the UR15 and EF of each salivary gland in SS patients were significantly lower than that in controls. Multivariate logistic regression equation was: logit p--.965??-.680?×?UR15 of left submandibular gland??-.040?×?EF of left parotid gland??-.050?×?EF of right submandibular gland. The receiver operating characteristic (ROC) curve validated high efficiency of this model with the area under curve of 0.911. And logistic regression analysis on combined original and validation cohorts confirmed its diagnostic value. Moreover, the EF of right parotid gland and both submandibular glands was correlated with histopathologic changes. Consequently, the semi-quantitative parameters of SGS may be helpful for diagnosing SS; UR15 of left submandibular gland, EF of left parotid gland, and EF of right submandibular gland are more powerful predictor of SS. Besides, SGS parameters reflect the degree of salivary gland involvement, severe patients with low parameters would have high histopathologic grades and biopsy focus scores.

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