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Korean Journal of Radiology ; : 655-663, 2017.
Artículo en Inglés | WPRIM | ID: wpr-118257

RESUMEN

OBJECTIVE: To study the predictive value of transluminal attenuation gradient (TAG) derived from diastolic phase of coronary computed tomography angiography (CCTA) for identifying systolic compression of myocardial bridge (MB). MATERIALS AND METHODS: Consecutive patients diagnosed with MB based on CCTA findings and without obstructive coronary artery disease were retrospectively enrolled. In total, 143 patients with 144 MBs were included in the study. Patients were classified into three groups: without systolic compression, with systolic compression < 50%, and with systolic compression ≥ 50%. TAG was defined as the linear regression coefficient between intraluminal attenuation in Hounsfield units (HU) and length from the vessel ostium. Other indices such as the length and depth of the MB were also recorded. RESULTS: TAG was the lowest in MB patients with systolic compression ≥ 50% (−19.9 ± 8.7 HU/10 mm). Receiver operating characteristic curve analysis was performed to determine the optimal cutoff values for identifying systolic compression ≥ 50%. The result indicated an optimal cutoff value of TAG as −18.8 HU/10 mm (area under curve = 0.778, p < 0.001), which yielded higher sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy (54.1, 80.5, 72.8, and 75.0%, respectively). In addition, the TAG of MB with diastolic compression was significantly lower than the TAG of MB without diastolic compression (−21.4 ± 4.8 HU/10 mm vs. −12.7 ± 8 HU/10 mm, p < 0.001). CONCLUSION: TAG was a better predictor of MB with systolic compression ≥ 50%, compared to the length or depth of the MB. The TAG of MB with persistent diastolic compression was significantly lower than the TAG without diastolic compression.


Asunto(s)
Humanos , Angiografía , Enfermedad de la Arteria Coronaria , Modelos Lineales , Isquemia Miocárdica , Estudios Retrospectivos , Curva ROC , Sensibilidad y Especificidad
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