Related Experiment Video
Updated: Aug 6, 2025
06:39
Ultrasound Based Assessment of Coronary Artery Flow and Coronary Flow Reserve Using the Pressure Overload Model in Mice
Published on: April 13, 2015
15.1K
Quantitative flow ratio derived pullback pressure gradient and CZT-SPECT measured longitudinal flow gradient for
Neng Dai1,2, Buchun Zhang3, Zifan Gong4
1Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Summary
Quantitative flow reserve (QFR) pullback pressure gradient (PPG) correlates with myocardial blood flow (MBF) gradients. This assessment improves diagnostic accuracy for myocardial ischemia, offering valuable insights for clinical practice.
Area of Science:
- Cardiovascular Imaging
- Physiology
- Interventional Cardiology
Background:
- Assessing physiological coronary diffuseness is crucial for diagnosing myocardial ischemia.
- The correlation between quantitative flow reserve (QFR) pullback pressure gradient (PPG) and longitudinal myocardial blood flow (MBF) gradient remains unclear.
- Understanding these relationships can enhance diagnostic capabilities for coronary artery disease.
Purpose of the Study:
- To investigate the correlation between QFR-PPG and longitudinal MBF gradients.
- To evaluate the diagnostic performance of QFR-PPG and MBF gradients in identifying myocardial ischemia.
- To determine if combining these assessments improves the prediction of reduced myocardial flow reserve.
Main Methods:
- Myocardial blood flow (MBF) was measured using 99mTc-MIBI CZT-SPECT at rest and stress.
- Longitudinal MBF gradients and their changes (△) were calculated.
- Quantitative flow reserve (QFR) pullback pressure gradient (PPG) was derived from virtual QFR pullback curves.
- Correlations between QFR-PPG, longitudinal MBF gradients, and relative flow reserve (RFR) were analyzed.
Main Results:
- QFR-PPG significantly correlated with hyperemic longitudinal MBF gradient (r=0.45) and △longitudinal MBF gradient (r=0.41).
- Vessels with lower RFR exhibited lower QFR-PPG and MBF gradients.
- QFR-PPG, hyperemic longitudinal MBF gradient, and △longitudinal MBF gradient demonstrated comparable diagnostic performance for predicting reduced RFR or QFR (AUCs ranging from 0.75 to 0.83).
- Combining QFR-PPG with QFR improved the prediction of RFR compared to QFR alone (AUC increased from 0.73 to 0.83).
Conclusions:
- QFR-PPG is a valuable parameter for assessing physiological coronary diffuseness.
- QFR-PPG correlates with longitudinal MBF gradients and aids in diagnosing myocardial ischemia.
- Integrating physiological diffuseness assessment, including QFR-PPG, enhances diagnostic accuracy for myocardial ischemia.
