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[Detection of coronary artery disease by exercise radionuclide ventriculography: using sector analysis]
Insights
A novel index, Variation of Time to End Systole (TES), effectively detects coronary artery disease (CAD) by measuring left ventricular (LV) asynchrony. This method shows higher sensitivity than traditional LVEF measurements for diagnosing CAD.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Coronary artery disease (CAD) diagnosis relies on assessing left ventricular (LV) function.
- Traditional methods like ejection fraction (LVEF) may not fully capture subtle functional changes.
- LV asynchrony, a sign of impaired cardiac function, is crucial for accurate CAD detection.
Purpose of the Study:
- To introduce and validate a new index, Variation of Time to End Systole (TES), for quantifying LV asynchrony.
- To evaluate the efficacy of Variation of TES in detecting CAD.
- To compare the diagnostic performance of Variation of TES against established methods like LVEF during exercise and delta LVEF.
Main Methods:
- Exercise first-pass radionuclide ventriculography was performed on 65 CAD patients and 18 controls.
- The LV was divided into 5 sectors to generate volume curves for estimating LVEF and TES.
- Variation of TES was calculated as the average difference between whole LV TES and sector-specific TES.
Main Results:
- Variation of TES during exercise demonstrated a sensitivity of 88% and specificity of 83% for CAD detection.
- This performance was significantly superior (p < 0.01) to LVEF during exercise (63% sensitivity) and delta LVEF (51% sensitivity).
- The overall specificity for LVEF and delta LVEF was 83%.
Conclusions:
- Variation of TES is a robust marker for LV asynchrony.
- This novel index proves highly effective and more sensitive than LVEF for detecting coronary artery disease.
- Variation of TES offers a valuable tool for improving CAD diagnosis.
Abstract:
Exercise first-pass radionuclide ventriculography was performed on 65 patients with coronary artery disease (CAD) and 18 control subjects with normal coronary artery, Left ventricle (LV) was divided into 5 sectors in radial, and volume curves were generated for whole LV and each sector for estimating LVEF and time to end systole (TES). The differences of TES between whole LV and each sector were calculated and these 5 differences were averaged (Variation of TES). We defined this Variation of TES as an index of LV asynchrony, and used for detection of CAD. The overall sensitivity and specificity for identifying CAD were 63% and 83% (LVEF during exercise), 51% and 83% (delta LVEF). Variation of TES during exercise had a sensitivity and a specificity of 88% and 83%, and was more sensitive than both LVEF during exercise and delta LVEF (p less than 0.01). In conclusion, Variation of TES was a good marker of LV asynchrony and useful for the detection of CAD.