21 research outputs found
Markers of systemic inflammatory response in coxarthrosis
Objective: to detect markers of the systemic inflammatory response syndrome in patients with coxarthrosis by means of assessment of the status of the hemostasis system, endothelium function and inflammation intensity. Material and Methods. The indices of the plasmatic hemostasis, levels of VCAM-1, ICAM-1, ELAM-1, VEGF-A, neop-terin were analyzed. Results. It has been found that among the patients with hip coxarthrosis a group of patients (47%) with endothelium dysfunction, cellular immunity activation, a high content of Soluble Fibrin Monomer Complex and D-dimers and a group of patients (53%) without any abnormalities in these parameters should be differentiated. Conclusion. Among the patients with hip coxarthrosis a group with signs of a systemic inflammatory response syndrome (occurrence of endothelium dysfunction, cellular immunity activation, a high content of Soluble Fibrin Monomer Complex and D-dimers) and a group of patients with reference values of these parameters can be determined. The markers of the systemic inflammatory response syndrome in cases with hip osteoarthrosis are Soluble Fibrin Monomer Complex and D-dimers, high levels of intercellular adhesion molecule-1 (slCAM-1), vascular cell adhesion molecule-2 (sVCAM-1), cell adhesion E-selectin-1 (ELAM-1) and Neopterin (Np)
Comparative study of antibacterial action of iron and copper nanoparticles on clinical Staphylococcus aureus strains
Research objective is to study antibacterial action of nanoparticles of iron and copper on polyantibiotically resistant clinical Staphylococcus aureus strains. Materials and methods include antibacterial action of nanoparticles of copper and iron on 10 Staphylococcus au¬reus strains, isolated from patients with purulent complications stayed in the in-patient department of traumatology and orthopedics. Solutions of powders of iron and copper have been prepared directly before the experiment in concentra¬tion from 0,001 to 1 mg/ml. it has been revealed that the influence of nanoparticles on growth of clinical strains and the intensity of antibacterial effect depends on the form of nanoparticles, their concentration and action time. concentration of 0,1 mg/ml and 1 mg/ ml of iron nanoparticles has provoked the decrease in quantity of microbe cells from 3 to 34 % (p <0,01). in smaller concentrations the reliable antibacterial effect has not been observed. Antibacterial activity of copper nanoparticles has been expressed in a wide range of concentrations from 0,001 mg/ml to 1 mg/ml, even during short-term action (30 minutes) it has provoked reduction of quantity of the microbe cells grown on the firm nutrient medium, 97-100 % in comparison with the control (p <0,001). in conclusion it is to point out that copper nanoparticles have more expressed inhibitory effect on growth of clini��cal strains of golden staphylococcus than iron nanoparticle suspension. inhibition degree depends on superdispersed powder dosage and incubation perio
The glassy response of solid He-4 to torsional oscillations
We calculated the glassy response of solid He-4 to torsional oscillations
assuming a phenomenological glass model. Making only a few assumptions about
the distribution of glassy relaxation times in a small subsystem of otherwise
rigid solid He-4, we can account for the magnitude of the observed period shift
and concomitant dissipation peak in several torsion oscillator experiments. The
implications of the glass model for solid He-4 are threefold: (1) The dynamics
of solid He-4 is governed by glassy relaxation processes. (2) The distribution
of relaxation times varies significantly between different torsion oscillator
experiments. (3) The mechanical response of a torsion oscillator does not
require a supersolid component to account for the observed anomaly at low
temperatures, though we cannot rule out its existence.Comment: 9 pages, 4 figures, presented at QFS200
Tunnelling defect nanoclusters in hcp 4He crystals: alternative to supersolidity
A simple model based on the concept of resonant tunnelling clusters of
lattice defects is used to explain the low temperature anomalies of hcp 4He
crystals (mass decoupling from a torsional oscillator, shear modulus anomaly,
dissipation peaks, heat capacity peak). Mass decoupling is a result of an
internal Josephson effect: mass supercurrent inside phase coherent tunnelling
clusters. Quantitative results are in reasonable agreement with experiments.Comment: 13 pages, 5 figure
Defects and glassy dynamics in solid He-4: Perspectives and current status
We review the anomalous behavior of solid He-4 at low temperatures with
particular attention to the role of structural defects present in solid. The
discussion centers around the possible role of two level systems and structural
glassy components for inducing the observed anomalies. We propose that the
origin of glassy behavior is due to the dynamics of defects like dislocations
formed in He-4. Within the developed framework of glassy components in a solid,
we give a summary of the results and predictions for the effects that cover the
mechanical, thermodynamic, viscoelastic, and electro-elastic contributions of
the glassy response of solid He-4. Our proposed glass model for solid He-4 has
several implications: (1) The anomalous properties of He-4 can be accounted for
by allowing defects to freeze out at lowest temperatures. The dynamics of solid
He-4 is governed by glasslike (glassy) relaxation processes and the
distribution of relaxation times varies significantly between different
torsional oscillator, shear modulus, and dielectric function experiments. (2)
Any defect freeze-out will be accompanied by thermodynamic signatures
consistent with entropy contributions from defects. It follows that such
entropy contribution is much smaller than the required superfluid fraction, yet
it is sufficient to account for excess entropy at lowest temperatures. (3) We
predict a Cole-Cole type relation between the real and imaginary part of the
response functions for rotational and planar shear that is occurring due to the
dynamics of defects. Similar results apply for other response functions. (4)
Using the framework of glassy dynamics, we predict low-frequency yet to be
measured electro-elastic features in defect rich He-4 crystals. These
predictions allow one to directly test the ideas and very presence of glassy
contributions in He-4.Comment: 33 pages, 13 figure
Immunological Indices At Gerontological Patients With Ischemic Heart Disease, Metabolic Disturbances And Osteoporosis
Gerontological patients with ischemic heart disease which is not accompanied by such pathology as diabetes (SD) and osteoporosis (OP) with normal or increased body weight (females) generally have got Β«the highest potential of healthΒ». It has been proved by phase portraits and autoantibodies (AAb) and cytokines indices. Adaptative disturbances in these groups have been revealed at the age of 95 and 89 accordingly. The presence of such accompanying pathology as SD and OP causes dysadaptation. It is evident by means of autoantibodies (AAb) and cytokines indices and phase portraits of Β«temporary dependence of general cholesterol levels - its first derivative
Biomarkers content in blood serum of patients with osseous neoformations
The aim of the study was the estimation of several biomarkers in differentiation diagnostics of tumour diseases in osseous system. Material and methods. 160 patients with benign (115) and malignant (45) osseous neoformations were investigated. Neopterine, tumour necrosis factor (TNF-Π°), interleukin-6, adhesion molecules of vessel endothe-lium (sVCAM-1) and vascular endothelial growth factor (VEGF) levels were identified by ELISA solid-phase test and compared with the levels of 20 apparently healthy individuals. Tumor verification was fulfilled by X-ray, CT, MRI and histomorphological essay. Results. Both benign and malignant osseous tumour patients showed increased levels of neopterine, TNF-Π° and interleukin-6 being more significant with malignant processes. The level of sVCAM was decreased in patients of both groups and VEGF level corresponded to the control, these indexes did not show any differences between the groups. The assessment of diagnostic value of these cytokines indicates that positive results for TNF and neopterine give the ground for the final diagnostic decision while the same results for interleukin-6 give moderate basement for diagnostic decision. Conclusion. Increased TNF-Π° and neopterine levels allow substantiating the difference between benign and malignant osseous tumours and improving diagnostic quality
Concentration of MMP-9, TNF-a and IL-6 in patients with tumors and tumor-like bone lesions
Aim: to determine the concentration of MMP-9, TNF-a and IL-6 in blood serum of patients with benign and malignant bone tumors and feasibility of cytokine data use for differential diagnostics of the neoplastic process nature. Material and Methods. Levels of matrix metalloproteinase-9 (MMP-9), tumor necrosis factor-a (TNF-a) and interleukin-6 (IL-6) in blood serum were determined by the immunoenzyme method in 64 patients with bone tissue neoplasms (fibrous dysplasia, osteocystoma, giant-cell tumor, osteosarcoma, chondrosarcoma, bone metastases, multiple myeloma). Re-sults. MMP-9 level was heightened in patients suffered from chondrosarcoma and multiple myeloma. TNF-a and IL-6 expression was increased in cases with bone metastases. MMP-9, TNF-a and IL-6 levels were higher in cases with malignant bone neoplasms than in cases with benign bone tumors. Conclusion. MMP-9, TNF-a and IL-6 participate in the neoplastic process pathogenesis directly. Nevertheless it is too early to speak about the diagnostic value of the cytokines in cases with tumorous bone affection.</p
ΠΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ Π°ΠΊΡΠΈΠ½-ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠΈΡ Π±Π΅Π»ΠΊΠΎΠ² ΡΠ°ΡΡΠΈΠ½Π° ΠΈ ΡΠ·ΡΠΈΠ½Π° Ρ Π±ΠΎΠ»ΡΠ½ΡΡ ΠΏΠ»ΠΎΡΠΊΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌ ΡΠ°ΠΊΠΎΠΌ Π³ΠΎΠ»ΠΎΠ²Ρ ΠΈ ΡΠ΅ΠΈ
Rationale: During neoplastic transformation, epithelial cells become mobile, which is one of the main mechanisms of metastatic disease and recurrence. Cell motility is regulated by actin-binding proteins, which ensure the association/dissociation of actin filaments and their interaction with the cell membrane. Previously, we have shown the presence of actin-binding proteins in the serum from patients with squamous cell carcinoma of the head and neck (HNSCC); however, their association with the development of metastases and relapses in cancer patients has not been sufficiently studied.
Aim: To evaluate the serum levels of actin-binding proteins fascin-1 and ezrin in patients with HNSCC depending on the disease recurrence and lymphatic metastasis.
Materials and methods: Serum fascin-1 and ezrin levels before combination therapy were measured with ELISA assay in 30 HNSCC (T1-4N0-2M0) patients (mean age 56 7 years).
Results: The median fascin-1 level was significantly higher in the patients with lymphatic metastases, compared to those without metastases: 0.64 (0.40; 5.89) vs 6.35 (1.72; 8.35) ng/mL, respectively (p 0.001). At 12 to 36 months after combination therapy, the disease relapsed in 12 (40%) patients. Ezrin levels were significantly higher in the relapsed patients, compared to those without a relapse within 3 years after combination therapy: 2.55 (2.35; 2.75) vs 1.93 (1.87; 2.5) ng/mL (p = 0.02). The ROC analysis showed an association between fascin-1 serum levels with metastatic disease (AUC = 0.71, 95% confidence interval 0.570.85) and an association between ezrin levels and the disease relapse (AUC = 0.76, 95% confidence interval 0.570.94).
Conclusion: These indicators can be used for the development of minimally invasive early detection of metastases in lymphatic nodes and for the prognosis of HNSCC recurrence.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. Π ΠΏΡΠΎΡΠ΅ΡΡΠ΅ Π½Π΅ΠΎΠΏΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠΏΠΈΡΠ΅Π»ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΊΠ»Π΅ΡΠΊΠΈ ΡΡΠ°Π½ΠΎΠ²ΡΡΡΡ ΠΏΠΎΠ΄Π²ΠΈΠΆΠ½ΡΠΌΠΈ, ΡΡΠΎ ΡΠ»ΡΠΆΠΈΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΠ»Π΅ΡΠΎΡΠ½Π°Ρ ΠΏΠΎΠ΄Π²ΠΈΠΆΠ½ΠΎΡΡΡ ΡΠ΅Π³ΡΠ»ΠΈΡΡΠ΅ΡΡΡ Π°ΠΊΡΠΈΠ½-ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠΈΠΌΠΈ Π±Π΅Π»ΠΊΠ°ΠΌΠΈ, ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΡΡΠΈΠΌΠΈ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΡ/Π΄ΠΈΡΡΠΎΡΠΈΠ°ΡΠΈΡ Π°ΠΊΡΠΈΠ½ΠΎΠ²ΡΡ
ΡΠΈΠ»Π°ΠΌΠ΅Π½ΡΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ±ΠΎΠΉ ΠΈ Ρ ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠΉ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ΠΎΠΉ. Π Π°Π½Π΅Π΅ Π½Π°ΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΠ΅ Π°ΠΊΡΠΈΠ½-ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠΈΡ
Π±Π΅Π»ΠΊΠΎΠ² Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΏΠ»ΠΎΡΠΊΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌ ΡΠ°ΠΊΠΎΠΌ Π³ΠΎΠ»ΠΎΠ²Ρ ΠΈ ΡΠ΅ΠΈ (ΠΠ ΠΠ¨), ΠΎΠ΄Π½Π°ΠΊΠΎ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π° ΠΈΡ
ΡΠ²ΡΠ·Ρ Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΎΠ² ΠΈ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΎΠ² Ρ ΠΎΠ½ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π±ΠΎΠ»ΡΠ½ΡΡ
.
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ ΡΡΠΎΠ²Π΅Π½Ρ Π°ΠΊΡΠΈΠ½-ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠΈΡ
Π±Π΅Π»ΠΊΠΎΠ² ΡΠ°ΡΡΠΈΠ½Π°-1 ΠΈ ΡΠ·ΡΠΈΠ½Π° Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠ ΠΠ¨ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ Π»ΠΈΠΌΡΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ.
ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π£ 30 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠ ΠΠ¨ (T1-4N0-2M0), ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 56 7 Π»Π΅Ρ, ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΡΡΠΎΠ²Π½ΠΈ ΡΠ°ΡΡΠΈΠ½Π°-1 ΠΈ ΡΠ·ΡΠΈΠ½Π° Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ Π΄ΠΎ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΡ.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ΅Π΄ΠΈΠ°Π½Π½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ°ΡΡΠΈΠ½Π°-1 Π±ΡΠ» ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎ Π²ΡΡΠ΅ Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π»ΠΈΠΌΡΠΎΠ³Π΅Π½Π½ΡΠΌΠΈ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·Π°ΠΌΠΈ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π±ΠΎΠ»ΡΠ½ΡΠΌΠΈ Π±Π΅Π· ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΎΠ²: 0,64 (0,40; 5,89) ΠΈ 6,35 (1,72; 8,35) Π½Π³/ΠΌΠ» ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ (p 0,001). Π ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΎΡ 12 Π΄ΠΎ 36 ΠΌΠ΅ΡΡΡΠ΅Π² ΠΏΠΎΡΠ»Π΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΡ ΡΠ΅ΡΠΈΠ΄ΠΈΠ² ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ ΡΠ°Π·Π²ΠΈΠ»ΡΡ Ρ 12 (40%) Π±ΠΎΠ»ΡΠ½ΡΡ
. Π£ΡΠΎΠ²Π΅Π½Ρ ΡΠ·ΡΠΈΠ½Π° Π±ΡΠ» ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎ Π²ΡΡΠ΅ Π² Π³ΡΡΠΏΠΏΠ΅ Π±ΠΎΠ»ΡΠ½ΡΡ
Ρ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π±ΠΎΠ»ΡΠ½ΡΠΌΠΈ ΠΠ ΠΠ¨, Ρ ΠΊΠΎΡΠΎΡΡΡ
ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Ρ Π½Π΅ ΡΠ°Π·Π²ΠΈΠ»ΠΈΡΡ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 3 Π»Π΅Ρ ΠΏΠΎΡΠ»Π΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΡ: 2,55 (2,35; 2,75) ΠΏΡΠΎΡΠΈΠ² 1,93 (1,87; 2,5) Π½Π³/ΠΌΠ» (p = 0,02). ΠΠΎ Π΄Π°Π½Π½ΡΠΌ ROC-Π°Π½Π°Π»ΠΈΠ·Π° Π²ΡΡΠ²Π»Π΅Π½Π° ΡΠ²ΡΠ·Ρ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠ°ΡΡΠΈΠ½Π°-1 Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ Ρ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠΌ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ (AUC = 0,71, 95% Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π» 0,570,85) ΠΈ ΡΠ²ΡΠ·Ρ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠ·ΡΠΈΠ½Π° Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΎΠ² (AUC = 0,76, 95% Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π» 0,570,94).
ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΌΠ°Π»ΠΎΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² ΡΠ°Π½Π½Π΅Π³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΎΠ² Π² Π»ΠΈΠΌΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ·Π»Π°Ρ
ΠΈ Π΄Π»Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π° ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΠ ΠΠ¨
ΠΠΠΠΠΠΠ‘Π’ΠΠ§ΠΠ‘ΠΠΠ ΠΠΠΠΠΠΠ-ΠΠ£Π§ΠΠΠ«Π ΠΠ ΠΠΠΠΠΠ ΠΠΠΠΠΠ’ΠΠΠΠΠ’ΠΠ§ΠΠΠ ΠΠΠ£Π₯ΠΠΠ, ΠΠΠ‘Π’ΠΠΠ ΠΠΠ‘Π’Π« Π ΠΠ‘Π’ΠΠΠ‘ΠΠ ΠΠΠΠ«
The problems of timeliness and correctness of diagnostics of bone tumours, as well as therapeutic decision deserve the most careful consideration. The present research concerns the detection of criteria of differential diagnostics of giant-cell tumours, osteocystoma and osteosarcoma (according to the literary data). According to the literature the study of clinical and radiologic diagnostics, allowed to work out differential and diagnostic tables of signs and algorithms of diagnostics of giant-cell tumours, osteocystoma and osteosarcoma. It enabled to detect a therapeutic and diagnostic approach to patients with bone tumours.ΠΠΎΠΏΡΠΎΡΡ ΡΠ²ΠΎΠ΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΊΠΎΡΡΠ½ΡΡ
ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΡΠ±ΠΎΡΠ° ΡΠ°ΠΊΡΠΈΠΊΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ Π·Π°ΡΠ»ΡΠΆΠΈΠ²Π°ΡΡ ΡΠ°ΠΌΠΎΠ³ΠΎ ΡΠ΅ΡΡΡΠ·Π½ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ. ΠΡΡΠ²Π»Π΅Π½Ρ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π³ΠΈΠ³Π°Π½ΡΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠΉ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ, ΠΊΠΎΡΡΠ½ΠΎΠΉ ΠΊΠΈΡΡΡ ΠΈ ΠΎΡΡΠ΅ΠΎΡΠ°ΡΠΊΠΎΠΌΡ Π½ΠΎ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΈ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ½ΡΠΌ Π΄Π°Π½Π½ΡΠΌ. ΠΠ° ΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π±Π»ΠΈΡΡ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΡΡΠΈΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ ΡΠ°ΠΊΡΠΈΠΊΡ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»ΡΠ½ΡΡ