The value of transluminal attenuation gradient indices to predict myocardial bridge with systolic compression on CCTA

ZHANG Ji-ping1; LI Li2; WANG Min2

doi:10.12117/jccmi.2020.05.008

Journal of China Clinic Medical Imaging ›› 2020, Vol. 31 ›› Issue (5) : 338-342. DOI: 10.12117/jccmi.2020.05.008

The value of transluminal attenuation gradient indices to predict myocardial bridge with systolic compression on CCTA

ZHANG Ji-ping1, LI Li2, WANG Min2

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Abstract

Objective: To study the diagnostic value of transluminal attenuation gradient(TAG) indices of left anterior descending artery(LAD) for myocardial bridge(MB) with significant systolic compression measured by coronary computed tomography angiography(CCTA). Materials and Methods: Eighty-one patients with confirmed MB who underwent CCTA were retrospectively included. TAG, the standardized TAG(TAGs) and corrected mural coronary opacification(CMCO) difference, MB length and MB depth were calculated to analyse the diagnostic value on MB with significant systolic compression. Results: TAG, the standardized TAG and corrected mural coronary opacification difference with significant systolic compression, slight systolic compression and without systolic compression had significant statistical differences(all P＜0.05), but MB length and MB depth had no significant statistical differences(all P＞0.05). ROC curve showed TAGs and CMCO difference had high diagnostic value(AUC 0.81, 0.83), combination TAGs with CMCO difference(AUC 0.89) showed remarkable improvement. Conclusion: TAG, TAGs and CMCO difference have relationship with the extent of dynamic compression of MB and have high diagnostic value on MB with significant systolic compression. So the indices have value to identify significant systolic compression of MB.

Key words

Coronary vessels / Tomography, spiral computed / Coronary angiography

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ZHANG Ji-ping1, LI Li2, WANG Min2. The value of transluminal attenuation gradient indices to predict myocardial bridge with systolic compression on CCTA[J]. Journal of China Clinic Medical Imaging. 2020, 31(5): 338-342 https://doi.org/10.12117/jccmi.2020.05.008

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