Purpose: To investigate the use of a complex multigradient echo (mGRE) acquisition and an autoregressive moving average (ARMA) model for simultaneous susceptibility and R 2 measurements for the assessment of liver iron content (LIC) in patients with iron overload.
Materials And Methods: Fifty magnetic resonance imaging (MRI) exams with magnitude and phase mGRE images were processed using the ARMA model, which provides fat-separated field maps, R 2 maps, and T(1) -W imaging. The LIC was calculated by measuring the susceptibility between the liver and the right transverse abdominal muscle from the field maps. The relationship between LIC derived from susceptibility measurements and LIC from R 2 measurements was determined using linear least-squares regression analysis.
Results: LIC measured from R 2 is highly correlated to the LIC with the susceptibility method (mg/g dry = 8.99 ± 0.15 × [mg Fe/mL of wet liver] -2.38 ± 0.29, R(2) = 0.94). The field inhomogeneity in the liver is correlated with R 2 (R(2) = 0.85).
Conclusion: By using the ARMA model on complex mGRE images, both susceptibility and R 2-based LIC measurements can be made simultaneously. The susceptibility measurement can be used to help verify R 2 measurements in the assessment of iron overload.
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http://dx.doi.org/10.1002/jmri.23545 | DOI Listing |
Stat Med
December 2024
Department of Statistics, Sungkyunkwan University, Seoul, South Korea.
Analysis of healthcare utilization, such as hospitalization duration and medical costs, is crucial for policymakers and doctors in experimental and epidemiological investigations. Herein, we examine the healthcare utilization data of patients with systemic lupus erythematosus (SLE). The characteristics of the SLE data were measured over a 10-year period with outliers.
View Article and Find Full Text PDFHeliyon
October 2024
Umm Al-Qura University, College of Business and Economics, Makkah, Kingdom of Saudi Arabia.
This paper examines the influence of the new 15 % Value Added Tax (VAT) enforcement on non-financial listed companies in Saudi Arabia. By comparing financial data from 2019, before the VAT implementation and the COVID-19 pandemic, with data from 2020, during both the VAT increase and the pandemic, the research aims to uncover the consequences of this tax policy change. Utilizing charts, tables, and an event study analysis approach with the Autoregressive Moving Average (ARMA) model, we investigated key financial indicators such as Shareholders' Equity (SE), Total Income (TI), Total Revenues (TR), Net Income (NI), Total Expenses (TE), Other Changes in Operating Activity (COA), and Cash at the End of the Period (CEP).
View Article and Find Full Text PDFSci Rep
November 2024
Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Predicting rainfall is a challenging and critical task due to its significant impact on society. Timely and accurate predictions are essential for minimizing human and financial losses. The dependence of approximately 60% of agricultural land in India on monsoon rainfall implies the crucial nature of accurate rainfall prediction.
View Article and Find Full Text PDFISA Trans
October 2023
Department of Power and Control Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz, the Islamic Republic of Iran. Electronic address:
This paper focuses on development of a three-stage iterative identification algorithm for parameter estimation of a Wiener model with autoregressive moving average (ARMA) noise entering between linear and nonlinear part. The proposed three-stage algorithm is developed based on generalized extended gradient iterative (GEGI) algorithm to increase the convergence rate at a low number of iterations. To increase the convergence rate, a second algorithm is derived based on generalized extended least squares algorithm (GELSI).
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
University of Zagreb, Faculty of Pharmacy and Biochemistry, Department of Biochemistry and Molecular Biology, A. Kovačića 1, 10000 Zagreb, Croatia. Electronic address:
The extensive use of aminoglycosides to treat bacterial infections has led to significant resistance, posing a global health threat. Recent clinical reports highlight high levels of aminoglycoside resistance due to Arm/Kam methyltransferases, which methylate specific nucleotides in 16S rRNA, preventing antibiotic binding to the ribosome. This study compared the ribosomal A site binding patterns of Arm methyltransferases from clinical pathogens (ArmA, RmtB, RmtC, and RmtD) with those of the Sgm methyltransferase from a natural aminoglycoside producer.
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