Publications by authors named "V Emelianov"
Purpose: In this study, we investigated the relationship between the results of thoracic curve correction using minimally invasive surgeries in 35 patients and open surgical correction in 47 patients with adolescent idiopathic scoliosis.
Methods: The correlations between the Cobb's angle of the primary and postoperative curves, angle of thoracic kyphosis and lumbar lordosis, correction percentage, derotation values, estimated blood loss, duration of surgery, and period of hospitalization after surgery were assessed by calculating the mean and standard deviation. Calculation and comparison were performed using Pearson correlation.
The aim of this work was to examine the content of thioredoxin in fibroblasts of human dermis from the development until deep aging (from 20 weeks of pregnancy until 85 years old), and defining of a role of thioredoxin in age-dependent changes in the number of fibroblasts in the dermis. Thioredoxin, proliferating cells nuclear antigen (PCNA), marker of fibroblasts vimentin were detected with indirect immunohistochemical technique. Results showed that portion of fibroblasts with positive staining for thioredoxin in the dermis is increased from 20 weeks of pregnancy until 85 years old.
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- The study examines the long-term effects of dose spacing (DS) in psoriasis patients treated with adalimumab, focusing on clinical outcomes and levels of the drug, TNFα, and anti-drug antibodies (ADA).
- Seven patients who received adalimumab from 2010 to 2021 were included, with all patients initially having the dosing interval extended to three weeks, and some to four weeks.
- Results showed that most patients maintained low disease activity, experienced significant drug savings, had stable drug levels, undetectable TNFα, and negative ADA, indicating effective DS management for psoriasis.
The necessity to improve the metallographic analysis systems to automate diagnostics of the condition of the metals for all their characteristics has been substantiated. The metallographic analysis algorithm based on the use of neural networks for recognizing metal microstructures and a case-based reasoning approach for determining the metal grade is proposed. The structure of a multilayer neural network to determine the metals quantitative parameters has been developed.
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