Full Text:   <2766>

Summary:  <2216>

CLC number: R541.4

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2015-10-26

Cited: 1

Clicked: 5861

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Jian Liu

http://orcid.org/0000-0001-9652-0198

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Article info.
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Journal of Zhejiang University SCIENCE B 2015 Vol.16 No.11 P.924-930

http://doi.org/10.1631/jzus.B1500206


Feasibility of diagnosing unstable plaque in patients with acute coronary syndrome using iMap-IVUS


Author(s):  Jian Liu, Zhao Wang, Wei-min Wang, Qi Li, Yu-liang Ma, Chuan-fen Liu, Ming-yu Lu, Hong Zhao

Affiliation(s):  Department of Cardiology, Peking University People�s Hospital, Beijing 100044, China

Corresponding email(s):   drjianliu@163.com, weiminwang@vip.sina.com

Key Words:  Acute coronary syndrome, Intravascular ultrasound, Unstable plaque



Abstract: 
Objective: To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound (IVUS), and quantify the diagnostic criteria for unstable plaque. Methods: Thirty-three acute coronary syndrome (ACS) patients who had undergone coronary angiography and IVUS from February 19, 2014 to December 19, 2014 at Peking University People’s Hospital were enrolled in the study. Baseline data were collected. The patients were divided into two groups according to their gray-scale IVUS imaging, stable plaque and unstable plaque. A difference-in-difference evaluation was performed using the baseline data and off-line iMap imaging results between the two groups. A receiver operating characteristic (ROC) curve was constructed to obtain the optimal cut-off value to diagnose unstable plaque. Results: Percentages of fibrotic and necrotic tissues, absolute values of lipidic, necrotic, and calcified tissues, and plaque burden were independent predictors for unstable plaque. Absolute necrotic area was the best predictor and exhibited the highest diagnostic value for plaque vulnerability (area under the curve (AUC)=0.806, P=0.000, 95% CI (0.718, 0.894)). The cut-off score for predicting unstable plaque was 4.0 mm2. Conclusions: This study attempted to propose a cut-off value based on absolute necrotic area using iMap-IVUS to predict plaque vulnerability in patients with ACS. This score might provide a valuable reference for diagnosing unstable plaque.

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