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Automated function imaging for predicting severe stenosis of left anterior descending coronary artery / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1501-1505, 2017.
Article in Chinese | WPRIM | ID: wpr-659320
ABSTRACT
Objective To explore the value of automated function imaging (AFI) based on two-dimensional speckle tracking imaging (2D-STI) technique longitudinal strain for predicting severe stenosis of left anterior descending (LAD) coronary artery in patients with suspected coronary heart disease (CHD).Methods Ninety-two patients with suspected CHD were divided into two groups according to the coronary angiography (CAG) results.There were 49 cases in group A (LAD stenosis rate <70%) and 43 cases in group B (LAD stenosis rate ≥70%).The two dimensional gray scale dynamic images were obtained in apical four-chamber view,apical two-chamber view and long axis of left ventricle (LV) view.Eighteen segments of LV longitudinal peak systolic strain,global longitudinal strain (GLS) and territorial longitudinal strain (TLS) supplied with LAD were measured with AFI software.The conventional ultrasonic parameters and the two-dimensional longitudinal strain parameters were compared between the two groups and ROC curve analysis of these parameters was used to predict LAD severe stenosis.Results There was no significant difference in the conventional ultrasonic parameters between the two groups (all P>0.05).The group B had lower GLS,TLS than group A (both P<0.001).GLS and TLS showed the highest area under ROC curve (0.715 and 0.705) for predicting LAD severe stenosis.The cut-off value,sensitivity and specificity for predicting LAD severe stenosis were-19.58 %,63.3 %,67.4 % in TLS,and-20.85 %,74.4 %,61.2 % in GLS respectively.Conclusion The longitudinal strain parameters measured with AFI based on 2D-STI technique can be used to predict LAD severe stenosis in patients with CHD,and GLS is more sensitive than TLS.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article