Magnetic resonance imaging findings often do not distinguish between people with and without low back pain (LBP). However, there are still a large number of people who undergo magnetic resonance imaging to help determine the etiology of their back pain. Texture analysis shows promise for the classification of tissues that look similar, and machine learning can minimize the number of comparisons. This study aimed to determine if texture features from lumbar spine magnetic resonance imaging differ between people with and without LBP. In total, 14 participants with chronic LBP were matched for age, weight, and gender with 14 healthy volunteers. A custom texture analysis software was used to construct a gray-level co-occurrence matrix with one to four pixels offset in 0° direction for the disc and superior and inferior endplate regions. The Random Forests Algorithm was used to select the most promising classifiers. The linear mixed-effect model analysis was used to compare groups (pain vs. pain-free) at each level controlling for age. The Random Forest Algorithm recommended focusing on intervertebral discs and endplate zones at L4-5 and L5-S1. Differences were observed between groups for L5-S1 superior endplate contrast, homogeneity, and energy (p = .02). Differences were observed for L5-S1 disc contrast and homogeneity (p < .01), as well as for the inferior endplates contrast, homogeneity, and energy (p < .03). Magnetic resonance imaging textural features may have potential in identifying structures that may be the target of further investigations about the reasons for LBP.
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http://dx.doi.org/10.1002/jor.24930 | DOI Listing |
J Mater Chem B
January 2025
School of Pharmacy, Queen's University Belfast, Belfast BT9 7AF, UK.
This study explores the formulation and characterization of poly(vinyl alcohol) (PVA)-based composite hydrogels synthesized through solid-state crosslinking. Comprehensive assessments were conducted on their physicochemical properties, leachables, and immunogenicity. Swelling experiments demonstrated that the incorporation of poly(vinylpyrrolidone) (PVP) enhanced water retention, while chitosan had a minimal effect on swelling behavior.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
NMR Laboratory, Chemistry Department, University of Crete, Heraklion, Crete, Greece.
High Resolution-Magic Angle Spinning (HR-MAS) solid-state NMR spectroscopy is finding increasing application in the analysis of solid foods, bypassing the need for complicated solvent extraction procedures. In the present protocol, we report a simple analytical approach based on HR-MAS NMR spectroscopy for the phenolic profiling of olive fruits, flesh, or skin. This approach allows the facile characterization of phenolic compounds in olive fruits cultivated for extra-virgin olive oil production as a function of maturation and variety, in addition to processing technology for table olives.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Grupo Metabolômica, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, RJ, Brazil.
Metabolomics is the area of research, which strives to obtain complete metabolic fingerprints, to detect differences between them and to provide hypothesis to explain those differences (Schripsema J, Dagnino D, Handbook of chemical and biological plant analytical methods. Wiley, New York, 2015). However, obtaining complete metabolic fingerprints is not an easy task.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Biomic Auth, Bioanalysis and Omics Laboratory, Centre for Interdisciplinary Research of Aristotle, University of Thessaloniki, Innovation Area of Thessaloniki, Thermi, Greece.
The gut's symbiome, a hidden metabolic organ, has gained scientific interest for its crucial role in human health. Acting as a biochemical factory, the gut microbiome produces numerous small molecules that significantly impact host metabolism. Metabolic profiling facilitates the exploration of its influence on human health and disease through the symbiotic relationship.
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Department of Urology, School of Medicine, Shanghai East Hospital, Tongji University, No. 150 Jimo Road, Pudong New District, Shanghai, 200120, China.
Purpose: To evaluate the predictive value of Prostate Spherical Volume Ratio for Lower urinary tract symptoms and clinical progression of Benign prostatic hyperplasia. And compared with other prostatic anatomical parameters.
Methods: A total of 154 patients with Benign prostatic hyperplasia who underwent MRI and urodynamics were included in the study, while prostate anatomical parameters such as prostate spherical volume ratio, prostate volume, intravesical prostatic protrusion, prostatic urethral length and presumed circle area ratio were determined based on MRI measurements.
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