Use of T1ρMR imaging in Sjögren's syndrome with normal appearing parotid glands: Initial findings

2016 ◽  
Vol 45 (4) ◽  
pp. 1005-1012 ◽  
Author(s):  
Chen Chu ◽  
Nan Zhou ◽  
Huayong Zhang ◽  
Xin Dou ◽  
Ming Li ◽  
...  
1998 ◽  
Vol 40 (6) ◽  
pp. 621-623 ◽  
Author(s):  
Hiroshi Tanaka ◽  
Norio Onodera ◽  
Ryosuke Ito ◽  
Akifumi Higuchi ◽  
Yasushi Suzuki ◽  
...  

2020 ◽  
Vol 49 (3) ◽  
pp. 20190348 ◽  
Author(s):  
Yoshitaka Kise ◽  
Mayumi Shimizu ◽  
Haruka Ikeda ◽  
Takeshi Fujii ◽  
Chiaki Kuwada ◽  
...  

Objectives: We evaluated the diagnostic performance of a deep learning system for the detection of Sjögren’s syndrome (SjS) in ultrasonography (US) images, and compared it with the performance of inexperienced radiologists. Methods: 100 patients with a confirmed diagnosis of SjS according to both the Japanese criteria and American-European Consensus Group criteria and 100 non-SjS patients that had a dry mouth and suspected SjS but were definitively diagnosed as non-SjS were enrolled in this study. All the patients underwent US scans of both the parotid glands (PG) and submandibular glands (SMG). The training group consisted of 80 SjS patients and 80 non-SjS patients, whereas the test group consisted of 20 SjS patients and 20 non-SjS patients for deep learning analysis. The performance of the deep learning system for diagnosing SjS from the US images was compared with the diagnoses made by three inexperienced radiologists. Results: The accuracy, sensitivity and specificity of the deep learning system for the PG were 89.5, 90.0 and 89.0%, respectively, and those for the inexperienced radiologists were 76.7, 67.0 and 86.3%, respectively. The deep learning system results for the SMG were 84.0, 81.0 and 87.0%, respectively, and those for the inexperienced radiologists were 72.0, 78.0 and 66.0%, respectively. The AUC for the inexperienced radiologists was significantly different from that of the deep learning system. Conclusions: The deep learning system had a high diagnostic ability for SjS. This suggests that deep learning could be used for diagnostic support when interpreting US images.


2009 ◽  
Vol 60 (1) ◽  
pp. 81-92 ◽  
Author(s):  
Shen Hu ◽  
Michael Zhou ◽  
Jiang Jiang ◽  
Jianghua Wang ◽  
David Elashoff ◽  
...  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1507.2-1508
Author(s):  
G. Mumcu ◽  
K. Abacar ◽  
İ. Tatli ◽  
Y. Yenisoy ◽  
A. Kapusuz ◽  
...  

Background:Sjögren’s syndrome (SjS) is a chronic systemic autoimmune disease targets primarily the salivary and lacrimal glands, the severe dryness of the mouth and eyes are common manifestations in patients. Therefore, daily life could be affected by these manifestations in patients with SjS.Objectives:The aim of the study was to assess associations among daily activity impairment and scores of EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI) and major salivary gland ultrasonography (SGUS) in primary SjS.Methods:In this cross-sectional study, 41 patients with primary SjS (F/M:39/2; mean age: 52,1±10,5) were included. The mean disease duration was 9.5±6,6 years in the group.Data were collected by clinical examinations and a questionnaire regarding two patients reported outcome measures (PROMs). Firstly, Work Productivity and Activity Impairment (WPAI) questionnaire assessed paid and unpaid work during the last seven days. Scores of WPAI subgroups as absenteeism, presenteeism, overall work impairment as well as daily activity impairment were calculated by using 6 items. Secondly, dryness, fatigue and pain in ESSPRI scale were evaluated by visual analogue scale (VAS; 0-10 points) in SjS. High scores in both PROMs indicates that disease manifestations affect patient ‘life poorly.In addition, structural damage of parotid and submandibular salivary glands were examined by using Milic and Hocevar USG scoring methods. Unstimulated whole salivary flow rate (U-WSFR; as ml/min) were also used to interpret the functional status of major salivary glands. High SGUS score and low U-WSFR reflects that disease activity affects major glands poorly.Results:Daily activity impairment was calculated as 63,9±31,1 in patients with primary SjS. High scores in ESSPRI-dryness, ESSPRI-fatigue and ESSPRI-pain were also observed in the group (7,5±2,4; 6,4±2,8 and 6,1±3,1, respectively). Daily activity impairment was correlated with scores of ESSPRI-dryness (r:0,55 p=0.000), ESSPRI-fatigue (r:0,38 p=0.014) and ESSPRI-pain (r:0,56 p=0.000) as well as parenchymal inhomogeneity USG scores of right and left parotid glands (r:0,49 p=0.032; r:0,51 p=0.025).U-WSFR (0.20±0.20 ml/min) was moderately correlated with parenchymal inhomogeneity USG scores of major salivary glands (p<0.05). ESSPRI-dryness score was significantly higher in patients with low U-WSFRs (≤ 0.1 ml/min) than the others (87,5±16,3 vs 68,3±25,1, respectively)(p=0.021).Conclusion:Firstly, subgroup scores of ESSPRI and low U-WSFR associated to daily activity impairment in patients with primary SjS. Secondly, parenchymal inhomogeneity scores of both parotid glands could give an important clue to clinicians for the disease-related damage. Finally, WPAI with 6-item could be thought as an useful tool to understand the effect of the disease manifestations on patients’ daily life.Disclosure of Interests: :None declared


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