Efficiency of action various analgetics in stomatology

The fullest restoration practically all investigated parameters of variability of an intimate rhythm occurs at reception as anesthetic ketorolac, that it is possible to regard as early restoration of functional balance of the centers of vegetative nervous system

THE ROLE OF MAGNETIC RESONANCE MAMMOGRAPHY AND MAGNETIC RESONANCE SPECTROSCOPY IN THE DIFFERENTIAL DIAGNOSIS OF BREAST TUMORS

Objective: to investigate the possibility of enhancing the efficiency of complex magnetic resonance (MR) imaging, including MR mammography with dynamic contrast-enhanced MRI and MR spectroscopy for the differential diagnosis of breast tumors.Material and methods. The investigation enrolled 87 patients with breast tumors and 15 healthy volunteers. The mean age of the examinees was 55.7±3.5 years. MR mammography with dynamic contrast-enhanced MRI and subsequent morphological diagnosis verification were performed in 100% of cases. MR spectroscopy was carried out in 93.1% of the patients with breast tumors.Results. There were 189 breast tumors, including 154 (81.5%) and 35 (18.5%) hypervascular and avascular ones, respectively. MR mammography could reveal only 36% of the hypervascular masses. The sensitivity of contrast-enhanced MR mammography was 97.1%, and the specificity was variable. Its specificity was 96.9% for BIRADS 2 and BIRADS 5 and 45% and 55% for BIRADS 4 and BIRADS 3, respectively. MR spectroscopy in addition to MR mammography could increase the overall specificity of the technique up to 98.3%.Conclusion. Comprehensive MR examination that involves MR mammography with dynamic contrast-enhanced MRI and MR spectroscopy makes it possible to visualize breast tissues, to identify additional masses, to investigate not only the morphological, but also chemical structure of the identified tumors, which allows the most precise differential diagnosis between benign and malignant lesions

Mechanisms and pathogenesis of cardiovascular complications of cancers in relation to circadian rhythms

Background: Damage to circadian system of our body may be associated with disturbances in body rhythms which may predispose to carcinogenesis. Quantitative assessment and diagnosis of desynchronization of circadian rhythms may be performed for scientific purposes, as there are no simple methods for use in daily clinical practice. The aim of our work is to develop simple methods for the diagnosis of desynchronization in body rhythms. Subjects and Methods: This study included two groups; the first group included 51 age-and sex-matched subjects from among students and staff of the University for comparison. The second group comprised 24 patients with cancer: 7 patients had breast cancer and the rest had lung cancer. The identification of desynchronization of body rhythms was carried out using correlation-regression analysis. Results: In group 1, the regression coefficients are positive and statistically significant for all parameters, and the average value in the parameters for HR - SBP and HR - DBP significantly exceeds the average in group 2. The average value of the regression coefficient HR-SBP is 0.369 ± 0.194, P < 0.05; HR-DBP is 0.503 ± 0.22, P< 0.05, also significant. In group 2, all regression coefficients are positive in relation to DBP - SBP. However, in the pair HR - SBP, the part of negative regression coefficients is 12.5%, whereas in the pair HR - DBP it is 8%. In group 2, there is significant decrease in unidirectional characteristics of changes in relations between HR - SBP and HR - DBP. However, the appearance of negative regression coefficients indicates the coherence reduction and shows the emergence of diversity in the occurrence of combined physiological functions. The average value of the regression coefficient for HR-SBP is 0.242 ± 0.224 P < 0.05, and for HR-DBP it is 0.265 ± 0.339, P < 0.05.The substantial alterations identified in comparison of group 1 for all studied relations, apparently indicate various degrees of desynchronization in body rhythms against the background of severe somatic pathology in group 2 patients. Conclusions: The results revealed that identification and quantification of desynchronization is possible based on hemodynamic parameters by regression analysis. © Nova Science Publishers, Inc

Mechanisms and pathogenesis of cardiovascular complications of cancers in relation to circadian rhythms

Background: Damage to circadian system of our body may be associated with disturbances in body rhythms which may predispose to carcinogenesis. Quantitative assessment and diagnosis of desynchronization of circadian rhythms may be performed for scientific purposes, as there are no simple methods for use in daily clinical practice. The aim of our work is to develop simple methods for the diagnosis of desynchronization in body rhythms. Subjects and Methods: This study included two groups; the first group included 51 age-and sex-matched subjects from among students and staff of the University for comparison. The second group comprised 24 patients with cancer: 7 patients had breast cancer and the rest had lung cancer. The identification of desynchronization of body rhythms was carried out using correlation-regression analysis. Results: In group 1, the regression coefficients are positive and statistically significant for all parameters, and the average value in the parameters for HR - SBP and HR - DBP significantly exceeds the average in group 2. The average value of the regression coefficient HR-SBP is 0.369 ± 0.194, P < 0.05; HR-DBP is 0.503 ± 0.22, P< 0.05, also significant. In group 2, all regression coefficients are positive in relation to DBP - SBP. However, in the pair HR - SBP, the part of negative regression coefficients is 12.5%, whereas in the pair HR - DBP it is 8%. In group 2, there is significant decrease in unidirectional characteristics of changes in relations between HR - SBP and HR - DBP. However, the appearance of negative regression coefficients indicates the coherence reduction and shows the emergence of diversity in the occurrence of combined physiological functions. The average value of the regression coefficient for HR-SBP is 0.242 ± 0.224 P < 0.05, and for HR-DBP it is 0.265 ± 0.339, P < 0.05.The substantial alterations identified in comparison of group 1 for all studied relations, apparently indicate various degrees of desynchronization in body rhythms against the background of severe somatic pathology in group 2 patients. Conclusions: The results revealed that identification and quantification of desynchronization is possible based on hemodynamic parameters by regression analysis. © Nova Science Publishers, Inc