Rheumatoid arthritis (RA) is a chronic and systemic inflammatory disorder. Conventional radiography, a widely available and cost-effective examination method, remains the standard of reference for the detection and quantification of joint involvement in RA. Fractal dimension (FD) of the trabecular bone structure has been proven to correlate with the bone's physical properties. The present study was designed to use fractal analysis to validate radiograph changes in the hand of RA patients.This study retrospectively evaluated the hand radiographs of 108 subjects. Fifty-four patients were suffering from RA, of which 18 were men and 36 were women. Their ages ranged from 25 to 90 years. The hand radiographs of 54 healthy patients, 18 men and 36 women (age range 23-88 years), were used as the control group. Bone structure value (BSV) is a critical parameter for the assessment and analysis of bone microarchitecture. The BSVs were calculated over the fractal dimension using the Brownian motion.The BSV calculated for ROI showed a significant difference in ROI5 (0.210 ± 0.045), ROI6 (0.186 ± 0.066), and ROI11 (0.201 ± 0.056) in patients with RA, in comparison to the CG (P < 0.05). A significant correlation was observed between anti-CCP and ROI4, ROI5, ROI6, ROI9, and ROI12 in seropositive RA patients (post hoc test (Bonferroni) P <0.001).This study demonstrates that the bone textural image analysis technique can be used to quantify the radiographic changes in RA hands, based on comparisons of FDs.
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http://dx.doi.org/10.1097/MD.0000000000006344 | DOI Listing |
Mol Autism
January 2025
Human Anatomy Department, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing, 211166, Jiangsu, People's Republic of China.
Autism spectrum disorder (ASD) is characterized by difficulties in social interaction, communication challenges, and repetitive behaviors. Despite extensive research, the molecular mechanisms underlying these neurodevelopmental abnormalities remain elusive. We integrated microscale brain gene expression data with macroscale MRI data from 1829 participants, including individuals with ASD and typically developing controls, from the autism brain imaging data exchange I and II.
View Article and Find Full Text PDFSchizophr Bull
January 2025
Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China.
Background And Hypothesis: Population-based morphological covariance networks are widely reported to be altered in schizophrenia. Individualized morphological brain network approaches have emerged recently. We hypothesize that individualized morphological brain networks are disrupted in schizophrenia.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Soft Matter and Nanomaterials Laboratory, Department of Physics, Indian Institute of Technology Bombay, Mumbai 400076, India.
Incorporating nanomaterials into hydrogels allows for the creation of versatile materials with properties that can be precisely tailored by manipulating their nanoscale structures, leading to a wide range of bulk properties. Investigating the structural and property characteristics of composite hydrogels is crucial in tailoring their performance for specific applications. This study focuses on investigating the correlation between the structural arrangement and properties of a composite hydrogel of thermoresponsive polymer, gelatin, and light-responsive antimicrobial porous gold nanorods (PAuNRs).
View Article and Find Full Text PDFBackground: Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC).
Methods: This retrospective study investigated 263 patients with CRC who underwent contrast-enhanced CTC (CE-CTC) before curative surgery between January 2014 and December 2017.
ACS Omega
December 2024
School of Earth Resources, China University of Geosience, Wuhan 430074, P. R. China.
The pore structure of shale is a key factor affecting the occurrence and flow of shale gas, and fractal dimensions can be used to quantitatively describe the complexity of the shale pore structure. In this study, the Leping Formation shale in the Junlian block of the southern Sichuan Basin was investigated. The pore structure characteristics of this shale were examined via low-pressure CO adsorption (LP-COA) and low-temperature N adsorption (LT-NA) methods via field emission scanning electron microscopy (FE-SEM), shale geochemistry, and mineral composition analysis.
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