Relationship between collateral circulation and myocardial viability of 18F-FDG PET/CT subtended by chronic total occluded coronary arteries

Wang, Dong; Li, Jianan; Mi, Hongzhi; Song, Xiantao; Jiao, Jian; Li, Quan

doi:10.1007/s12149-018-1234-3

Cited by 29 publications

(20 citation statements)

References 23 publications

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“…us, it could be used as a clinical detection index for CHD, which was basically consistent with the research findings of [14]. In the assessment of the patient's future coronary artery health, it is feasible to use high EATV as a risk factor, and it can increase the clinical predictive value of another detection index-calcification score for CHD [15]. In recent years, bio-friendly imaging technologies such as CT have played an increasingly critical role in the clinical detection of cardiovascular diseases through the quantitative measurement of EATV [16].…”

Section: Scientific Programmingsupporting

confidence: 77%

Deep Learning-Based Computed Tomography Images for Quantitative Measurement of the Correlation between Epicardial Adipose Tissue Volume and Coronary Heart Disease

Wang

Huang

et al. 2021

Scientific Programming

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The epicardial adipose tissue volume (EATV) was quantitatively measured by deep learning-based computed tomography (CT) images, and its correlation with coronary heart disease (CHD) was investigated in this study. 150 patients who underwent coronary artery CT examination in hospital were taken as research objects. Besides, patients from the observation group (group A) suffered from vascular stenosis, while patients from the control group (group B) had no vascular stenosis. The deep convolutional neural network model was applied to construct deep learning algorithm, and deep learning-based CT images were adopted to quantitatively measure EATV. The results showed that the sensitivity, specificity, accuracy, and area under the curve (AUC) of the deep learning algorithm were 0.8512, 0.9899, 0.9623, and 0.9813, respectively. By comparison, the correlation results of the traditional George algorithm, Aslani algorithm, and Lahiri algorithm were all lower than those of the deep learning algorithm, and the difference was statistically substantial ( P < 0.05 ). The epicardial adipose tissue volume of the observation group (114.23 ± 55.46) was higher markedly than the volume of the control group (92.65 ± 43.28), with a statistically huge difference ( P < 0.05 ). The r values of EATV with plaque properties and the number of stenosed coronary vessels were 0.232 and 0.268 in turn, both showing significant positive correlation. In conclusion, the sensitivity and other index values of deep learning algorithm were improved greatly compared with traditional algorithm. CT images based on deep learning algorithm achieved good blood vessel segmentation effects. In addition, EATV was closely related to the development of CHD.

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Section: Scientific Programmingsupporting

confidence: 77%

Deep Learning-Based Computed Tomography Images for Quantitative Measurement of the Correlation between Epicardial Adipose Tissue Volume and Coronary Heart Disease

Wang

Huang

et al. 2021

Scientific Programming

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“…This may be due to the presence of collateral circulation was a sensitive (89%) but not a speci c (31%) sign of myocardial viability. [22] Our study has some limitations. First, it was an observational study with small patient sample.…”

Section: Discussionmentioning

confidence: 89%

Early Improvement of Left Ventricular Dyssynchrony After Percutaneous Coronary Intervention in Patients with Single Chronic Total Occlusion Vessel

Wang

et al. 2020

Preprint

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Background The effect of percutaneous coronary intervention (PCI) of chronic total occlusion (CTO) on left ventricular dyssynchrony was unclear. Methods Patients with one CTO vessel were included. Tissue Doppler imaging was used to assess the left ventricular dyssynchrony index (DI) in twelve segments before and after successful CTO PCI. Multiple regression was used to identify independent correlates of DI reduction. Results 41 patients were included with the mean age of 65.88 years. 39(95.12%) had left ventricular DI more than 33. It decreased significantly from 67.48 ± 28.73 to 44.69 ± 23.90 (P < 0.01) after successful CTO PCI. PCI of infarct-relative CTO was associated with less percentage of DI reduction (Coefficient [Coef.], 25.60; 95% confidence interval [CI], 8.13–43.08; P < 0.01). Higher initial DI was associated with more percentage of DI reduction (Coef., -0.35; 95% CI, -0.67- -0.03; P = 0.03). Percentage of DI reduction was associated with ejection fraction (EF) improvement (Coef., -5.09; 95% CI, -7.45- -2.72; P < 0.01) with linear relationship (P < 0.01). Conclusion Left ventricular dyssynchrony was reduced early after successful CTO PCI, which predicted EF improvement. The association between dyssynchrony reduction and long-term benefits of CTO PCI are expected.

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“…Thus, collaterals on angiography do not seem to be an effective way to predict the viability of the myocardium. 30 Due to the limited number of patients with an assessment of myocardial viability having collateral circulation, a meaningful analysis was not possible in our study. Instead, we compared myocardial viability with the site (proximal and non-proximal) of occlusion and found a numerically higher amount of viable myocardium with the proximal site of occlusion (mean of 25.8±11%) as compared to non-proximal occlusion (mean of 12.0±2.0%); however, it did not reach statistical significance (p-value=0.060).…”

Section: Discussionmentioning

confidence: 97%

Clinical and Angiographic Prophesy of Hemodynamic Status in Patients with Acute Anterior Wall ST-Segment-Elevation Myocardial Infarction and Totally Occluded Left Anterior Descending Artery

Otaal¹,

Shah²,

Batta³

et al. 2021

IBPC

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Background Left anterior descending artery (LAD) is the most common occluded vessel in a patient presenting with acute anterior wall ST-segment elevated myocardial infarction (STEMI). Acute occlusion of LAD usually results in hemodynamic compromise. However, some patients maintain hemodynamic stability despite its proximal occlusion. As the factors associated with hemodynamic status in such patients are poorly understood, our study sought to determine the clinical and angiographic parameters associated with hemodynamic stability in these patients. Methods In this prospective observational study, 60 consecutive patients of acute anterior wall STEMI with completely occluded LAD on coronary angiography were included. Various clinical and angiographic parameters associated with hemodynamic status were evaluated. Results Of the 60 patients, 30 patients each were included in the hemodynamically stable (group I) and hemodynamically unstable group (group II). The mean age of the patients in group I and group II was 51.07±13.78 years and 55.47±11.69 years, respectively. The hemodynamically unstable group had a significantly higher number of patients with diabetes mellitus, elevated Troponin T level, and lower left ventricular ejection fraction as compared to the stable group (p<0.05). In contrast, 11 (36.7%) patients in the hemodynamically stable group had rich collaterals compared to 4 (13.3%) patients in the hemodynamically unstable group. The difference was statistically significant (p=0.037). Conclusion The present study showed that the presence of diabetes, severe LV systolic dysfunction, elevated Troponin-T level, and poor collaterals were associated with hemodynamic instability, whereas the presence of better collaterals predicted hemodynamic stability in patients presenting with anterior wall STEMI and total LAD occlusion.

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Relationship between collateral circulation and myocardial viability of 18F-FDG PET/CT subtended by chronic total occluded coronary arteries

Abstract: In patients with CTO, collateral circulation does not seem to be an effective way for predicting myocardial viability. Further analysis of PET patterns of viable myocardium is needed to guide further revascularization and predict functional improvement and survival benefit.

Cited by 29 publications

References 23 publications

Deep Learning-Based Computed Tomography Images for Quantitative Measurement of the Correlation between Epicardial Adipose Tissue Volume and Coronary Heart Disease

Deep Learning-Based Computed Tomography Images for Quantitative Measurement of the Correlation between Epicardial Adipose Tissue Volume and Coronary Heart Disease

Early Improvement of Left Ventricular Dyssynchrony After Percutaneous Coronary Intervention in Patients with Single Chronic Total Occlusion Vessel

Clinical and Angiographic Prophesy of Hemodynamic Status in Patients with Acute Anterior Wall ST-Segment-Elevation Myocardial Infarction and Totally Occluded Left Anterior Descending Artery

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