Literature DB >> 15891185

MR microscopy of the parotid glands in patients with Sjogren's syndrome: quantitative MR diagnostic criteria.

Yukinori Takagi1, Misa Sumi, Tadateru Sumi, Yoko Ichikawa, Takashi Nakamura.   

Abstract

BACKGROUND AND
PURPOSE: MR imaging of the salivary glands has been applied to the diagnosis of Sjogren's syndrome; however, the diagnosis remains qualitative. We sought to establish and evaluate quantitative MR imaging criteria for the diagnosis of Sjogren's syndrome.
METHODS: MR imaging with a 47-mm microscopy coil was performed in 83 patients with xerostomia (55 patients with Sjogren's syndrome, 28 without Sjogren's syndrome). MR images were obtained by T1-weighted and fat-suppressed T2-weighted imaging and by MR sialography of the parotid glands. MR imaging findings of the parotid glands in Sjogren's syndome included increases in fat areas and decreases in intact lobule areas. These MR images were morphometrically analyzed for the diagnostic criteria.
RESULTS: MR imaging with a microscopy coil demonstrated well the details of the damaged parotid glands in patients with xerostomia. Quantitative MR imaging of fat, intact gland lobule, and number of sialoectatic foci significantly and highly correlated with severity of disease. Receiver operating characteristic (ROC) curve analysis demonstrated that quantitative MR imaging yielded high diagnostic ability in differentiating patients with xerostomia who have Sjogren's syndrome from those without Sjogren's syndrome, with areas under the ROC curve of 0.94 for fat area, 0.98 for intact lobule area, and 0.91 for number of sialoectatic foci. The best cutoff points by quantitative MR imaging were each associated with high sensitivity and specificity, and, when used in combination, yielded 96% sensitivity and 100% specificity.
CONCLUSION: Quantitative MR imaging effectively differentiated the parotid glands in patients with xerostomia who have Sjogren's syndrome from those without the syndrome and provided criteria for staging the gland disease.

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Mesh:

Year:  2005        PMID: 15891185      PMCID: PMC8158620     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  18 in total

1.  A comparative study between MR sialography and salivary gland scintigraphy in the diagnosis of Sjögren syndrome.

Authors:  H Tonami; K Higashi; M Matoba; H Yokota; I Yamamoto; S Sugai
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2.  Diffusion-weighted echoplanar MR imaging of the salivary glands.

Authors:  Misa Sumi; Yukinori Takagi; Masataka Uetani; Minoru Morikawa; Kuniaki Hayashi; Hiroyuki Kabasawa; Katsuhiko Aikawa; Takashi Nakamura
Journal:  AJR Am J Roentgenol       Date:  2002-04       Impact factor: 3.959

3.  MR imaging of the salivary glands in sicca syndrome: comparison of lipid profiles and imaging in patients with hyperlipidemia and patients with Sjögren's syndrome.

Authors:  M Izumi; A Hida; Y Takagi; Y Kawabe; K Eguchi; T Nakamura
Journal:  AJR Am J Roentgenol       Date:  2000-09       Impact factor: 3.959

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Authors:  Raphaela Goldbach-Mansky; James Woodburn; Lawrence Yao; Peter E Lipsky
Journal:  Arthritis Rheum       Date:  2003-03

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Journal:  Lancet       Date:  1992-07-18       Impact factor: 79.321

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Journal:  Am J Roentgenol Radium Ther Nucl Med       Date:  1957-04

7.  Premature fat deposition in the salivary glands associated with Sjögren syndrome: MR and CT evidence.

Authors:  M Izumi; K Eguchi; H Nakamura; S Nagataki; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  1997-05       Impact factor: 3.825

Review 8.  ROC methodology in radiologic imaging.

Authors:  C E Metz
Journal:  Invest Radiol       Date:  1986-09       Impact factor: 6.016

9.  MR sialography in patients with Sjögren syndrome.

Authors:  H Tonami; Y Ogawa; M Matoba; Y Kuginuki; H Yokota; K Higashi; T Okimura; I Yamamoto; S Sugai
Journal:  AJNR Am J Neuroradiol       Date:  1998-08       Impact factor: 3.825

10.  Labial salivary gland biopsy in Sjögren's syndrome. Assessment as a diagnostic criterion in 362 suspected cases.

Authors:  T E Daniels
Journal:  Arthritis Rheum       Date:  1984-02
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  13 in total

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2.  Clinical usefulness of the mDIXON Quant the method for estimation of the salivary gland fat fraction: comparison with MR spectroscopy.

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3.  Estimation of proton density fat fraction of the salivary gland.

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4.  Comparison of salivary gland MRI and ultrasonography findings among patients with Sjögren's syndrome over a wide age range.

Authors:  Yukinori Takagi; Miho Sasaki; Sato Eida; Ikuo Katayama; Kunio Hashimoto; Hideki Nakamura; Toshimasa Shimizu; Shimpei Morimoto; Atsushi Kawakami; Misa Sumi
Journal:  Rheumatology (Oxford)       Date:  2022-05-05       Impact factor: 7.046

5.  MR imaging of labial glands.

Authors:  M Sumi; T Yamada; Y Takagi; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2007-09       Impact factor: 3.825

6.  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

7.  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

8.  Pictorial essay: Salivary gland imaging.

Authors:  Rajul Rastogi; Sumeet Bhargava; Govindarajan Janardan Mallarajapatna; Sudhir Kumar Singh
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9.  Fat deposition of parotid glands.

Authors:  Davi Sousa Garcia; Ivo Bussoloti Filho
Journal:  Braz J Otorhinolaryngol       Date:  2013 Mar-Apr

10.  Effects of 1 year of training on the performance of ultrasonographic image interpretation: A preliminary evaluation using images of Sjögren syndrome patients.

Authors:  Yoshitaka Kise; Anne Møystad; Tore Bjørnland; Mayumi Shimizu; Yoshiko Ariji; Chiaki Kuwada; Masako Nishiyama; Takuma Funakoshi; Kazunori Yoshiura; Eiichiro Ariji
Journal:  Imaging Sci Dent       Date:  2021-01-29
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