The first purpose of this study was to quantify the sonographic images of the salivary gland to differentiate the Sjögren syndrome (SS) group from the non-SS group. We included 132 patients in this study who had been referred to our department because of a suspicion of SS. A total of 91 patients fulfilled the criteria for SS, whereas the remaining 41 patients did not. We placed the regions-of-interest within the lesion. The first purpose was to evaluate which indices obtained by the texture analyses were useful for differentiating the SS group from the non-SS group. The second purpose was to evaluate the relationship between the indices and the degree of severity in the SS group. Out of the several indices evaluated, Hurst coefficients, obtained by fractal analysis, of SS group were found to be significantly lower than those of the non-SS group. Moreover, the Hurst coefficient was associated with the degree of destruction of the parotid gland as assessed by sialography. The Hurst coefficient of a globular stage and an advanced stage were both significantly lower than that of a normal pattern, whereas the Hurst coefficient of a punctate stage was almost similar to that of the normal stage. The Hurst coefficient showed a very weak correlation with the results of either the gum test or serologic tests.
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http://dx.doi.org/10.1016/j.ultrasmedbio.2006.01.013 | DOI Listing |
Huan Jing Ke Xue
January 2025
Institute of Mountain Resource of Guizhou Province, Guizhou Academy of Sciences, Guiyang 550001, China.
Huan Jing Ke Xue
November 2024
School of Geographical Sciences and Planning, Ningxia University, Yinchuan 750021, China.
The urban belt along the Yellow River in Ningxia, located in the middle and upper reaches of the Yellow River, serves as the population and economic center of Ningxia. Quantitatively analyzing the spatiotemporal distribution characteristics of the fraction of vegetation cover (FVC) in this region and its driving factors is of great significance for promoting ecological protection and the construction of a leading area for high-quality development in the Yellow River Basin. In this study, Landsat satellite remote sensing data were utilized to derive the vegetation cover from 2001 to 2020 in the cities along the Yellow River in Ningxia using a pixel-based binary model.
View Article and Find Full Text PDFEur Geriatr Med
November 2024
AGE Research Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Health Innovation Neighbourhood, Biomedical Research Building, Newcastle Upon Tyne, NE4 5PL, UK.
Purpose: To investigate associations between glycaemic measures (HbA1c, random glucose), and grip strength (GS) in adults without prevalent diabetes.
Methods: We included 381,715 UK Biobank participants aged 38-73 years without diabetes (any type) with complete baseline measures for GS and HbA1c (main analyses), and glucose (supplementary analyses). Cross-sectional sex- and age-stratified associations between each glycaemic measure, GS, and probable sarcopenia (low GS) were examined with regression analyses.
Brain Inform
November 2024
School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, Australia.
Accurate monitoring of the depth of anesthesia (DoA) is essential for ensuring patient safety and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS), are limited in real-time accuracy and robustness. Current methods have problems in generalizability across diverse patient datasets and are sensitive to artifacts, making it difficult to provide reliable DoA assessments in real time.
View Article and Find Full Text PDFPhys Rev E
October 2024
Sorbonne Université, Laboratoire de Physique Théorique et Hautes Energies, CNRS UMR 7589, 4 Place Jussieu, 75252 Paris Cedex 05, France.
We compute the connected two-time correlator of the maximum M_{N}(t) of N independent Gaussian stochastic processes (GSPs) characterized by a common correlation coefficient ρ that depends on the two times t_{1} and t_{2}. We show analytically that this correlator, for fixed times t_{1} and t_{2}, decays for large N as a power law N^{-γ} (with logarithmic corrections) with a decorrelation exponent γ=(1-ρ)/(1+ρ) that depends only on ρ, but otherwise is universal for any GSP. We study several examples of physical processes including the fractional Brownian motion (fBm) with Hurst exponent H and the Ornstein-Uhlenbeck process (OUP).
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