ISSN 1004-4140
CN 11-3017/P
BU Yu-lian, ZHANG Huan, PAN Zi-lai, YANG Wen-jie, CHEN Ke-min, YAN Fu-hua. Clinical Applied of Dual Energy Spectral CT in the Detection of Regional Myocardial Activity[J]. CT Theory and Applications, 2018, 27(5): 593-599. DOI: 10.15953/j.1004-4140.2018.27.05.05
Citation: BU Yu-lian, ZHANG Huan, PAN Zi-lai, YANG Wen-jie, CHEN Ke-min, YAN Fu-hua. Clinical Applied of Dual Energy Spectral CT in the Detection of Regional Myocardial Activity[J]. CT Theory and Applications, 2018, 27(5): 593-599. DOI: 10.15953/j.1004-4140.2018.27.05.05

Clinical Applied of Dual Energy Spectral CT in the Detection of Regional Myocardial Activity

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  • Received Date: June 17, 2018
  • Available Online: November 07, 2021
  • Published Date: October 24, 2018
  • Objective: To study the clinical application value of spectral CT combined with cardiac function assessment software in detecting myocardial activity, so as to provide a novel and reliable imaging diagnostic system for the detection of regional myocardial activity. Methods: 40 patients with coronary heart disease were scanned with the high resolution density coronary CT angiography (HDCTA) and the gemstone spectral imaging (GSI) modes. In addition, all cases had the Cardiac MRI scan within a week. HDCTA images were used to measure stenoses. Detect the myocardial perfusion sparse areas on the GSI images. HDCTA images were reconstructed into 20 phases, from 0% to 95%, with 5% interval, and then input them into the cardiac function analysis software package of AW4.4 workstation, it automatically calculate the bullseye map of left ventricular function. Record the average segmental wall motion and wall thickening of the bullseye map corresponding to the myocardial perfusion sparse areas and normal areas of GSI images, and were performed with two-sample t test. Do the consistency test between CT and MRI evaluation results. Results: Spectral CT have detected 27 regions of myocardial perfusion sparse areas on the GSI images, a total of 126 segments corresponding to the bullseye map. All myocardial perfusion sparse areas of the GSI images had associated coronary artery with more than 50% stenosis of the intravascular diameter. There were significant differences in the average segmental wall motion and wall thickening of the bullseye map corresponding to the myocardial perfusion sparse areas and normal areas of GSI images:(3.51±1.54 and 7.57±1.94, P=0.00), (26%±8.8% and 62%±11.3%, P=0.00). The results have high consistency with cardiac cine-MRI imaging and myocardial perfusion imaging. Conclusions: The coronary CTA scan combined with the delayed scan of dual energy spectral imaging in the same scan of Spectral CT, not only can analyze the coronary artery morphology and evaluate the myocardial blood supply, improve the efficiency of the detection of myocardial ischemia, but also can evaluate myocardial function with functional analysis software.
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