Literature DB >> 27580143

Diagnostic performance of MR imaging of three major salivary glands for Sjögren's syndrome.

I Kojima1, M Sakamoto1, M Iikubo1, H Kumamoto2, A Muroi1, Y Sugawara1, S Satoh-Kuriwada1, T Sasano1.   

Abstract

OBJECTIVE: We analyzed the diagnostic performance of the MR imaging findings of the parotid, submandibular, and sublingual glands to discriminate between patients with and without Sjögren's syndrome.
METHODS: We retrospectively analyzed the correlation between the MR imaging and histopathological findings obtained from 69 patients with clinically suspected Sjögren's syndrome. We evaluated the heterogeneous signal intensity distribution on T1- and T2-weighted images, the multiple high-signal-intensity spots on MR sialograms, and the volume of the parotid, submandibular, and sublingual salivary glands.
RESULTS: The multiple high-signal-intensity spots in the parotid gland showed the highest sensitivity and diagnostic accuracy (82% and 83%, respectively). In addition, the multiple high-signal-intensity spots and the heterogeneous signal intensity distribution in the submandibular gland showed high specificity (100% and 88%, respectively). The volume of the submandibular gland, but not that of the parotid or sublingual gland, was smaller in patients with Sjögren's syndrome.
CONCLUSIONS: The presence of multiple high-signal-intensity spots on an MR sialogram in the parotid gland should be considered the best diagnostic indicator for Sjögren's syndrome. The presence of spots, heterogeneity, and the change to smaller volumes in the submandibular gland were also helpful because of their high specificity, particularly in advanced cases.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Sjögren's syndrome; autoimmune disease; diagnostics; magnetic resonance imaging; salivary glands

Mesh:

Year:  2016        PMID: 27580143     DOI: 10.1111/odi.12577

Source DB:  PubMed          Journal:  Oral Dis        ISSN: 1354-523X            Impact factor:   3.511


  6 in total

1.  Comparative Study of Multiple High-Signal-Intensity Spots on 3D and 2D Magnetic Resonance Sialography for Patients with Sjögren's Syndrome.

Authors:  Yusuke Shimada; Ikuho Kojima; Masahiro Iikubo
Journal:  Radiol Res Pract       Date:  2021-12-26

2.  Correlation Between Salivary Microbiome of Parotid Glands and Clinical Features in Primary Sjögren's Syndrome and Non-Sjögren's Sicca Subjects.

Authors:  Donghyun Kim; Ye Jin Jeong; Yerin Lee; Jihoon Choi; Young Min Park; Oh Chan Kwon; Yong Woo Ji; Sung Jun Ahn; Hyung Keun Lee; Min-Chan Park; Jae-Yol Lim
Journal:  Front Immunol       Date:  2022-05-04       Impact factor: 8.786

3.  Preliminary study on the application of deep learning system to diagnosis of Sjögren's syndrome on CT images.

Authors:  Yoshitaka Kise; Haruka Ikeda; Takeshi Fujii; Motoki Fukuda; Yoshiko Ariji; Hiroshi Fujita; Akitoshi Katsumata; Eiichiro Ariji
Journal:  Dentomaxillofac Radiol       Date:  2019-05-22       Impact factor: 2.419

4.  Usefulness of a deep learning system for diagnosing Sjögren's syndrome using ultrasonography images.

Authors:  Yoshitaka Kise; Mayumi Shimizu; Haruka Ikeda; Takeshi Fujii; Chiaki Kuwada; Masako Nishiyama; Takuma Funakoshi; Yoshiko Ariji; Hiroshi Fujita; Akitoshi Katsumata; Kazunori Yoshiura; Eiichiro Ariji
Journal:  Dentomaxillofac Radiol       Date:  2019-12-11       Impact factor: 2.419

5.  High detection sensitivity and reliable morphological correlation of PET with a silicon photomultiplier for primary tongue squamous cell carcinoma.

Authors:  Ikuho Kojima; Kentaro Takanami; Takenori Ogawa; Maya Sakamoto; Hirokazu Nagai; Hitoshi Miyashita; Masahiro Iikubo
Journal:  Ann Nucl Med       Date:  2020-06-20       Impact factor: 2.668

Review 6.  Imaging methods in primary Sjögren's syndrome as potential tools of disease diagnostics and monitoring.

Authors:  Marta Świecka; Maria Maślińska; Łukasz Paluch; Jakub Zakrzewski; Brygida Kwiatkowska
Journal:  Reumatologia       Date:  2019-12-31
  6 in total

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