Objective: The purpose of this study was to develop, assess the reliability of, and validate prediction equations that estimate the sagittal curves of the spine from the skin surface.
Methods: Forty digital panoramic radiographs were used to develop the prediction equation, and 59 radiographs were used to assess reliability and validate the equations. For evaluation of the thoracic and lumbar curves, anatomical reference points were marked on the vertebral body, spinous process, and skin surface at the C6, C7, T2, T4, T6, T8, T10, T12, L2, L4, and S2 vertebrae. Three third-degree polynomials were obtained, estimated with the least squares method: inner curves from the centroid of the vertebral bodies and from the apex of the spinous processes and external curve from the skin surface. The magnitude of the curves of each region was estimated based on the angle between tangent lines at several vertebral levels. Prediction equations were obtained (simple linear regression) for the vertebral levels that had the best correlation between the inner and surface curves. The validation of the prediction equations was confirmed using Pearson's correlation (r), Student t test, and root mean square error. The reliability of the method was confirmed using the intraclass correlation coefficient, standard error of measurement, and minimal detectable change (α = 0.05).
Results: The best correlations were obtained between the T4-T12 (thoracic) and T10-S2 (lumbar) levels (r > 0.85). For the intrarater and interrater reliability, the correlation was higher than 0.965 and higher than 0.896, respectively. There was a significant and strong correlation between estimated and actual values for the thoracic and lumbar curves, which was confirmed by the t-test results and by the root mean square error inferior to 1°.
Conclusion: Prediction equations can precisely and accurately estimate the angles of the internal sagittal curves of the spine from the skin surface.
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http://dx.doi.org/10.1016/j.jmpt.2017.06.015 | DOI Listing |
Sci Rep
January 2025
Shanxi Province Land Engineering Construction Group Co., Ltd, Xian, 710075, China.
Although the fatigue properties of asphalt materials have been extensively studied, the relationship between the rheological properties and road performance of asphalt mixtures remains underexplored. In this study, we have examined the relaxation properties of asphalt binders through relaxation tests conducted on asphalt and its mastic under different conditions. A repeated stress relaxation-recovery test is designed for assessing both the relaxation and elastic properties, and a set of reasonable test parameters is recommended, thereby establishing a novel test method for measuring the relaxation and elastic behaviors of asphalt.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Chemical and Petroleum Engineering Department, College of Engineering, United Arab Emirates University, PO BOX 15551, Al Ain, United Arab Emirates. Electronic address:
This study provides insights into nanocellulose production using 1-butyl-3-methylimidazolium hydrogen sulphate ([Bmim]HSO) as a green solvent, utilizing cellulose derived from date palm waste. Critical hydrolysis parameters were optimized through analysis of variance and response surface methodology. The predicted nanocellulose yield (Y) followed a quadric equation represented by Y=55.
View Article and Find Full Text PDFClin Chim Acta
January 2025
Department of Nuclear Medicine, Hebei Medical University Third Hospital, Shijiazhuang 050051, PR China. Electronic address:
Purpose: This was an evidence-based study to assess which creatinine-based equation was most useful for estimated glomerular filtration rate (eGFR) in Chinese adults with chronic kidney disease (CKD).
Methods: Multiple databases were searched to collect relevant studies on creatinine-based eGFR equations for Chinese adults with CKD in Chinese and English from January 2009 to January 2023, using "glomerular filtration rate", "GFR equations", "Chinese CKD", "chronic kidney disease", "equation development" and "equation validation". The quality of each study was assessed using the diagnostic test accuracy review by RevMan 5.
J Phys Condens Matter
January 2025
Escuela de Artes Plásticas y Audiovisuales, Benemerita Universidad Autonoma de Puebla, Av. San Claudio y Blvd. 18 Sur, Edificios 1IF1, 2IF1 y 3IF1, Ciudad Universitaria, Colonia San Manuel, Puebla, Puebla, 72570, MEXICO.
Transition metal nitrides are well-known 3D superconductor materials. However, there is a lack of knowledge related to their two-dimensional (2D) counterparts, which have several potential technological applications. In this work, we predict, using an evolutionary algorithm coupled with a first-principles approach, a set of novel 2D superconductive structures based on tungsten nitride.
View Article and Find Full Text PDFJMIR Aging
January 2025
Betty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States.
Background: Loneliness is a significant issue among older Asian Americans, exacerbated by the COVID-19 pandemic. Older age, lower income, limited education, and immigrant status heighten loneliness risk. Information communication technologies (ICTs) have been associated with decreased loneliness among older adults.
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