Yusufjon U. Alisherov
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Yusufjon U. Alisherov has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Andrew V. Mochula
Cardiology Research Institute, Tomsk National Research Medical Center
2 shared publications - Vasily V. Zatolokin
Cardiology Research Institute, Tomsk National Research Medical Center (Cardiology Research Institute, Tomsk NRMC), Russian Academy of Sciences
2 shared publications - Arina A. Tsygikalo
Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russian Federation
1 shared publication - Boris N. Kozlov
Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences (Cardiology Research Institute, Tomsk NRMC)
1 shared publication - Dmitri S. Panfilov
Cardiology Research Institute, Tomsk National Research Medical Center
1 shared publication - Elena B. Kim
Russian Academy of Sciences
1 shared publication
Latest Publications
- 19 February 2026
- Published by Springer Nature in Chinese Journal of Academic Radiology
- Vol. 9 (2) , 147-152
Feasibility of gate myocardial perfusion scintigraphy in patients with multivessel coronary artery disease: clinical case
- 19 February 2026
- Published by Springer Nature in Chinese Journal of Academic Radiology
- Vol. 9 (2) , 147-152
Feasibility of gate myocardial perfusion scintigraphy in patients with multivessel coronary artery disease: clinical case
- Open Access
- 29 August 2024
- Published by MDPI AG in Diagnostics
- Vol. 14 (17) , 1903
Intraoperative Prediction of Coronary Graft Failure Based on Transit Time Flow Measurement: A PRELIMINARY STUDY
Myocardial revascularization has been known to not affect the prognosis in some patients. Coronary artery bypass graft (CABG) failure may develop one year after CABG surgery. This is accompanied by a high risk of developing myocardial infarction after complete myocardial revascularization in obstructive coronary artery disease (CAD) due to microvascular dysfunction. The study of microvascular dysfunction using intraoperative stress tests with adenosine triphosphate (ATP) allows for the assessment of the coronary bypass flow reserve (CBFR) and the risk of graft failure one year after surgery. The study included 79 CAD patients (238 grafts) who underwent dynamic single-photon emission computed tomography (SPECT) before CABG and dynamic transit time flow measurement (TTFM) during CABG at rest and at stress. The CBFR was calculated by the ratio of the mean graft flow (MGF) at stress to the MGF at rest. A multivariate regression model showed that the MGF at rest (p = 0.043), the MGF at stress (p = 0.026) and the CBFR (p = 0.0001) were significant independent predictors of graft failure. As a result of ROC analysis, the threshold CBFR < 1.67 units correlated with graft failure more closely (sensitivity 82%, specificity 90%) The CBFR is a significant independent predictor of graft failure for up to 16 months.
- 29 August 2024
- Published by MDPI AG in Diagnostics
- Vol. 14 (17) , 1903
Open AccessIntraoperative Prediction of Coronary Graft Failure Based on Transit Time Flow Measurement: A PRELIMINARY STUDY
Myocardial revascularization has been known to not affect the prognosis in some patients. Coronary artery bypass graft (CABG) failure may develop one year after CABG surgery. This is accompanied by a high risk of developing myocardial infarction after complete myocardial revascularization in obstructive coronary artery disease (CAD) due to microvascular dysfunction. The study of microvascular dysfunction using intraoperative stress tests with adenosine triphosphate (ATP) allows for the assessment of the coronary bypass flow reserve (CBFR) and the risk of graft failure one year after surgery. The study included 79 CAD patients (238 grafts) who underwent dynamic single-photon emission computed tomography (SPECT) before CABG and dynamic transit time flow measurement (TTFM) during CABG at rest and at stress. The CBFR was calculated by the ratio of the mean graft flow (MGF) at stress to the MGF at rest. A multivariate regression model showed that the MGF at rest (p = 0.043), the MGF at stress (p = 0.026) and the CBFR (p = 0.0001) were significant independent predictors of graft failure. As a result of ROC analysis, the threshold CBFR < 1.67 units correlated with graft failure more closely (sensitivity 82%, specificity 90%) The CBFR is a significant independent predictor of graft failure for up to 16 months.