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原发性干燥综合征的唾液腺超声:现状与未来展望

Salivary Gland Ultrasound in Primary Sjögren's Syndrome: Current and Future Perspectives.

作者信息

Lorenzon Michele, Spina Erica, Tulipano Di Franco Francesco, Giovannini Ivan, De Vita Salvatore, Zabotti Alen

机构信息

Institute of Radiology, Department of Medicine, University of Udine, Udine, Italy.

Rheumatology Clinic, Department of Medical and Biological Sciences, Azienda Sanitaria Universitaria Friuli Centrale c/o University of Udine, Udine, Italy.

出版信息

Open Access Rheumatol. 2022 Sep 1;14:147-160. doi: 10.2147/OARRR.S284763. eCollection 2022.

DOI:10.2147/OARRR.S284763
PMID:36072437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9444027/
Abstract

Salivary gland ultrasound (SGUS) is the imaging modality of choice for the assessment of parotid and submandibular gland parenchyma. Being highly effective, non-invasive and easy to perform, SGUS has become increasingly popular among specialists in assessing salivary gland (SG) abnormalities, including those commonly found in primary Sjögren's syndrome (pSS). SGUS may be useful in the assessment of pSS and its complications, the most serious being the development of non-Hodgkin's lymphoma (NHL). SGUS may also be useful in the characterization and differential diagnosis of diffuse and focal abnormalities commonly associated with pSS, and may act as a guide for core-needle biopsy (CNB), an established, safe, and feasible technique, which provides enough viable tissue for the diagnosis and assessment of lymphoproliferative diseases of the SG. The combination of SGUS with other tools, such as sonoelastography and artificial intelligence (AI), could further improve the usefulness of SGUS in the management of pSS. In this perspective, we summarize current and future applications of SGUS in pSS.

摘要

唾液腺超声(SGUS)是评估腮腺和颌下腺实质的首选成像方式。由于其高效、无创且易于操作,SGUS在评估唾液腺(SG)异常(包括原发性干燥综合征(pSS)中常见的异常)方面越来越受到专家的青睐。SGUS在评估pSS及其并发症(最严重的是非霍奇金淋巴瘤(NHL)的发生)方面可能有用。SGUS在pSS常见的弥漫性和局灶性异常的特征描述和鉴别诊断中也可能有用,并且可作为粗针活检(CNB)的指导,CNB是一种成熟、安全且可行的技术,可为SG的淋巴增殖性疾病的诊断和评估提供足够的活组织。SGUS与其他工具(如超声弹性成像和人工智能(AI))的结合可进一步提高SGUS在pSS管理中的效用。从这个角度出发,我们总结了SGUS在pSS中的当前和未来应用。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc62/9444027/7426d13abc6d/OARRR-14-147-g0006.jpg
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