4 research outputs found
Π Π°Π΄ΠΈΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ΅ΠΊΡΡΡΡΠ½ΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΏΡΠΈ Π°ΡΠ΅ΡΠΎΡΠΊΠ»Π΅ΡΠΎΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΈ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ Π°ΡΡΠ΅ΡΠΈΠΉ
Aim. To investigate the association of the radiomic characteristics of epicardial adipose tissue (EAT) on contrast-free computed tomography (CT) of the heart with the severity of obstructive coronary lesion and myocardial ischemia.Methods. The study included 68 patients with coronary heart disease (mean age of 63.5Β±9.4, 45 men and 23 women), and 15 patients (mean age 30Β±4.8; 14 men and 1 woman) without cardiovascular disease as a control group. All the patients underwent multispiral computed coronary angiography, coronary calcium scores (CCS) determination and stress myocardial perfusion scintigraphy. Radiomic characteristics of EAT (texture analysis by gradations of gray color) were determined on non-contrast computer tomogram images of the heart using 3D-Sliser software and the SliserRadiomics module (version 4.10.2). The obtained indicators were compared between a control and under the study groups as well as between subgroups of patients divided according to the degree of obstruction of the coronary arteries, the size of the perfusion defect, and the value of the CCS.Results. The comparative analysis of radiomic indicators of EAT between patients with coronary artery disease and the control group showed the presence of statistically significant differences between them. At the same time, the correlation analysis in the study group did not reveal any correlations between the radiomic parameters and the size of the perfusion defect, CCS or degree of stenosis of the lumen of the coronary arteries.Conclusion. The textural characteristics of EAT in patients with coronary heart disease differ from those in individuals without cardiovascular pathology. At the same time, these indicators are not associated with the severity of obstructive lesions of the coronary arteries, the value of the CCS, and the size of the perfusion defect according to scintigraphy.Π¦Π΅Π»Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΡ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΡ ΡΠ°Π΄ΠΈΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ (ΠΠΠ’) Π½Π° Π±Π΅ΡΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΠΎΠΉ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ (ΠΠ’) ΡΠ΅ΡΠ΄ΡΠ° Ρ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΡΡ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ»Π° ΠΈ ΠΈΡΠ΅ΠΌΠΈΠΈ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π°.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎ Π²ΠΊΠ»ΡΡΠ΅Π½Ρ 68 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠ΅ΡΠ΄ΡΠ° (ΠΠΠ‘) (ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 63,5Β±9,4 Π³ΠΎΠ΄Π°; 45 ΠΌΡΠΆΡΠΈΠ½ ΠΈ 23 ΠΆΠ΅Π½ΡΠΈΠ½Ρ), Π° ΡΠ°ΠΊΠΆΠ΅ 15 Π»ΠΈΡ (ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 30Β±4,8 Π³ΠΎΠ΄Π°; 14 ΠΌΡΠΆΡΠΈΠ½ ΠΈ 1 ΠΆΠ΅Π½ΡΠΈΠ½Π°) Π±Π΅Π· ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, ΡΠΎΡΡΠ°Π²ΠΈΠ²ΡΠΈΠ΅ Π³ΡΡΠΏΠΏΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ. ΠΡΠ΅ΠΌ ΠΎΠ±ΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΠΌ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Ρ ΠΌΡΠ»ΡΡΠΈΡΠΏΠΈΡΠ°Π»ΡΠ½Π°Ρ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ ΠΊΠΎΡΠΎΠ½Π°ΡΠΎΠ°Π½Π³ΠΈΠΎΠ³ΡΠ°ΡΠΈΡ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π»ΡΡΠΈΡ, Π½Π°Π³ΡΡΠ·ΠΎΡΠ½Π°Ρ ΠΏΠ΅ΡΡΡΠ·ΠΈΠΎΠ½Π½Π°Ρ ΡΡΠΈΠ½ΡΠΈΠ³ΡΠ°ΡΠΈΡ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π°. ΠΠ° Π±Π΅ΡΠΊΠΎΠ½ΡΡΠ°ΡΡΠ½ΡΡ
ΠΠ’-ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡΡ
ΡΠ΅ΡΠ΄ΡΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΡΠ°Π΄ΠΈΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΠΠ’ (ΡΠ΅ΠΊΡΡΡΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎ Π³ΡΠ°Π΄Π°ΡΠΈΡΠΌ ΡΠ΅ΡΠΎΠ³ΠΎ ΡΠ²Π΅ΡΠ°) Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ 3D-Sliser ΠΈ ΠΌΠΎΠ΄ΡΠ»Ρ SliserRadiomics (Π²Π΅ΡΡΠΈΡ 4.10.2). ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΡΠ°Π²Π½ΠΈΠ²Π°Π»ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ, Π° ΡΠ°ΠΊΠΆΠ΅ Π² ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ°Ρ
Π±ΠΎΠ»ΡΠ½ΡΡ
, ΡΠ°Π·Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠΈ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ
Π°ΡΡΠ΅ΡΠΈΠΉ, ΡΠ°Π·ΠΌΠ΅ΡΠ° Π΄Π΅ΡΠ΅ΠΊΡΠ° ΠΏΠ΅ΡΡΡΠ·ΠΈΠΈ ΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π»ΡΡΠΈΡ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠ°Π΄ΠΈΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΠΠ’ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠΠ‘ ΠΈ Π³ΡΡΠΏΠΏΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΏΠΎΠΊΠ°Π·Π°Π» Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ. Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π² Π³ΡΡΠΏΠΏΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π½Π΅ ΠΏΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π» ΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ°Π΄ΠΈΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΠΈ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠΌ Π΄Π΅ΡΠ΅ΠΊΡΠ° ΠΏΠ΅ΡΡΡΠ·ΠΈΠΈ, ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠΌ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π»ΡΡΠΈΡ, ΡΡΠ΅ΠΏΠ΅Π½ΡΡ ΡΡΠ΅Π½ΠΎΠ·Π° ΠΏΡΠΎΡΠ²Π΅ΡΠ° ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ
Π°ΡΡΠ΅ΡΠΈΠΉ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π’Π΅ΠΊΡΡΡΡΠ½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΠΠ’ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠΠ‘ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ ΠΎΡ ΡΠ°ΠΊΠΎΠ²ΡΡ
Ρ Π»ΠΈΡ Π±Π΅Π· ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ. Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π½Π΅ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Ρ Ρ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΡΡ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ
Π°ΡΡΠ΅ΡΠΈΠΉ, Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π»ΡΡΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠΌ Π΄Π΅ΡΠ΅ΠΊΡΠ° ΠΏΠ΅ΡΡΡΠ·ΠΈΠΈ ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΡΡΠΈΠ½ΡΠΈΠ³ΡΠ°ΡΠΈΠΈ
ΠΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΎΠΏΡΡ ΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ Π»Π΅Π³ΠΊΠΈΡ ΠΏΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π΄Π°Π½Π½ΡΠΌΠΈ ΠΠ€ΠΠΠ’/ΠΠ’ Ρ 99mΠ’Ρ-ΠΠΠΠ
The aim of the study was to develop and validate a software package (SP) for computer simulation of the procedure for examining patients with lung cancer by SPECT/CT and assessing the accuracy of reconstruction of tumor lesions.Material and Methods. Lung scintigraphy for a patient with peripheral squamous cell carcinoma of the upper lobe of the right lung was performed using a two-detector gamma camera GE Discovery NM/CT 670 DR (USA) with high-resolution collimators for an energy of 140 KeV and a radiopharmaceutical (RP) 99mTc-Technetril (MIBI, Diamed, Moscow). The data obtained were subjected to computer processing using a specialized Xeleris 4.0 system from GE (USA). The SP included a program for generating a voxel phantom (βvirtual patientβ), a program for modeling the βrawβ data acquisition (βvirtual tomographβ) and an image reconstruction based on the OSEM algorithm (Ordered Subset Expectation Maximization). In order to validate the created SP, computer simulation of the above clinical case was performed. The semi-quantitative comparative image analysis was based on a tumor/background score.Results. There was a good correlation between clinical βrawβ data recorded from a real patient and projection data calculated by the Monte Carlo method from a βvirtual patientβ. The results of the comparative analysis showed that the tumor/background assessment was underestimated in the reconstructed images.Conclusion. The problem of the accuracy of the tumor lesions reconstruction by using standard OSEM reconstruction algorithms has not been studied. This issue is important in the management of patients with tumor lesions of the lungs and requires study and systematization. The SP will be used in further studies to analyze errors and artifacts in images of tumor lesions, as well as to develop approaches to overcome them.Β Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΠΈΠ»ΠΈΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΈ Π²Π°Π»ΠΈΠ΄Π°ΡΠΈΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° (ΠΠ) Π΄Π»Ρ ΠΈΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠ€ΠΠΠ’/ΠΠ’ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΠ°ΠΊΠΎΠΌ Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΎΠΏΡΡ
ΠΎΠ»Π΅Π²ΡΡ
ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΉ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠ»Π° ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΡΡΠΈΠ½ΡΠΈΠ³ΡΠ°ΡΠΈΡ ΠΎΡΠ³Π°Π½ΠΎΠ² Π³ΡΡΠ΄Π½ΠΎΠΉ ΠΊΠ»Π΅ΡΠΊΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Ρ ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΠ»ΠΎΡΠΊΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌ ΡΠ°ΠΊΠΎΠΌ Π²Π΅ΡΡ
Π½Π΅ΠΉ Π΄ΠΎΠ»ΠΈ ΠΏΡΠ°Π²ΠΎΠ³ΠΎ Π»Π΅Π³ΠΊΠΎΠ³ΠΎ Π½Π° Π΄Π²ΡΡ
Π΄Π΅ΡΠ΅ΠΊΡΠΎΡΠ½ΠΎΠΉ Π³Π°ΠΌΠΌΠ°-ΠΊΠ°ΠΌΠ΅ΡΠ΅ GE Discovery NM/CT 670 DR (Π‘Π¨Π) Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π²ΡΡΠΎΠΊΠΎΡΠ°Π·ΡΠ΅ΡΠ°ΡΡΠΈΡ
ΠΊΠΎΠ»Π»ΠΈΠΌΠ°ΡΠΎΡΠΎΠ² Π΄Π»Ρ ΡΠ½Π΅ΡΠ³ΠΈΠΈ 140 ΠΡΠ ΠΈ ΡΠ°Π΄ΠΈΠΎΡΠ°ΡΠΌΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° (Π Π€Π) 99mΠ’Ρ-Π’Π΅Ρ
Π½Π΅ΡΡΠΈΠ» (ΠΠΠΠ, βΠΠΈΠ°ΠΌΠ΅Π΄β, ΠΠΎΡΠΊΠ²Π°). ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π°Π»ΠΈΡΡ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Xeleris 4.0 ΡΠΈΡΠΌΡ βGEβ (Π‘Π¨Π). Π‘ΠΎΠ·Π΄Π°Π½ ΠΠ, ΠΊΠΎΡΠΎΡΡΠΉ Π²ΠΊΠ»ΡΡΠ°Π΅Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Π³Π΅Π½Π΅ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²ΠΎΠΊΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π½ΡΠΎΠΌΠ° (Β«Π²ΠΈΡΡΡΠ°Π»ΡΠ½ΡΠΉ ΠΏΠ°ΡΠΈΠ΅Π½ΡΒ»), ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ±ΠΎΡΠ° Β«ΡΡΡΡΡ
Β» ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
(Β«Π²ΠΈΡΡΡΠ°Π»ΡΠ½ΡΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΒ») ΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° OSEM (Ordered Subset Expectation Maximization). Π‘ ΡΠ΅Π»ΡΡ Π²Π°Π»ΠΈΠ΄Π°ΡΠΈΠΈ ΡΠΎΠ·Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΠ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΠΈΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ»ΡΡΠ°Ρ. ΠΠΎΠ»ΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΉ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π»ΡΡ Π½Π° ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΎΠΏΡΡ
ΠΎΠ»Ρ/ ΡΠΎΠ½.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Ρ
ΠΎΡΠΎΡΠ°Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Β«ΡΡΡΡΠΌΠΈΒ» Π΄Π°Π½Π½ΡΠΌΠΈ, Π·Π°ΠΏΠΈΡΠ°Π½Π½ΡΠΌΠΈ Ρ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°, ΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΠΌΠΈ Π΄Π°Π½Π½ΡΠΌΠΈ, ΡΠ°ΡΡΡΠΈΡΠ°Π½Π½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠΎΠ½ΡΠ΅-ΠΠ°ΡΠ»ΠΎ Ρ Β«Π²ΠΈΡΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°Β». Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ Π½Π° ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡΡ
ΠΎΡΠ΅Π½ΠΊΠ° ΠΎΠΏΡΡ
ΠΎΠ»Ρ/ΡΠΎΠ½ Π·Π°Π½ΠΈΠΆΠ΅Π½Π°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠΏΡΠΎΡ ΠΎ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ ΠΎΠΏΡΡ
ΠΎΠ»Π΅Π²ΡΡ
ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ OSEM Π½Π΅ ΠΈΠ·ΡΡΠ΅Π½. ΠΡΠΎΡ Π²ΠΎΠΏΡΠΎΡ Π²Π°ΠΆΠ΅Π½ ΠΏΡΠΈ Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΎΠΏΡΡ
ΠΎΠ»Π΅Π²ΡΠΌΠΈ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡΠΌΠΈ Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠΉ ΠΠ Π±ΡΠ΄Π΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ Π² ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
Π΄Π»Ρ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΎΡΠΈΠ±ΠΎΠΊ ΠΈ Π°ΡΡΠ΅ΡΠ°ΠΊΡΠΎΠ² Π½Π° ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡΡ
ΠΎΠΏΡΡ
ΠΎΠ»Π΅Π²ΡΡ
ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² Π΄Π»Ρ ΠΈΡ
ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ
Current status of nuclear cardiology in the Russian Federation
The article is devoted to the analysis of the current status of nuclear cardiology in the Russian Federation. The data on the number of facilities performing radionuclide investigations for the diagnosis and monitoring of the treatment of cardiovascular diseases, their staffing and equipment are given. The statistics of the conducted nuclear cardiology tests for 2018-2020 are given, as well as their methods, features and diagnostic significance are described