Literature DB >> 29548539

Quantitative baseline CT plaque characterization of unrevascularized non-culprit intermediate coronary stenosis predicts lesion volume progression and long-term prognosis: A serial CT follow-up study.

Mengmeng Yu1, Wenbin Li1, Zhigang Lu2, Meng Wei2, Jing Yan3, Jiayin Zhang4.   

Abstract

AIMS: To investigate the quantitative baseline CT plaque characterization of unrevascularized non-culprit intermediate coronary stenosis and its association with lesion volume progression and long-term prognosis.
METHODS: Patients with baseline coronary CT angiography (CCTA) and invasive coronary angiography (ICA) and at least one unrevascularized non-culprit intermediate coronary stenosis were prospectively enrolled for this study. All patients were followed up by a second CCTA at 1-year to 1.5-year interval. High-risk plaque features as well as other quantitative plaque measurements were recorded.
RESULTS: 140 patients with 165 unrevascularized non-culprit intermediate lesions were selected. Lesion volume progression was identified in 18 lesions (10.9%, 18/165) at follow-up CCTA and 15 patients experienced major adverse cardiac events (MACE) during a mean follow-up period of 51.5 months. Low attenuation plaque (LAP) was more frequently present in the lesion-progression subgroup and MACE subgroup (lesion-progression VS. non-lesion progression: 55.6% VS. 8.8% and MACE VS. MACE free: 40% VS. 12.8%, both p < 0.05), while other parameters showed no significant differences. Based on stepwise multivariable logistic regression analysis, LAP was an independent predictor (OR = 16.74, 95%CI = 5.02 to 55.84, p < 0.001) for lesion volume progression and MACE (OR = 4.25, 95%CI = 1.03 to 17.53, p = 0.046).
CONCLUSIONS: The presence of LAP of unrevascularized non-culprit intermediate stenosis is associated with lesion volume progression and an independent predictor for MACE occurrence.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Angiography; Coronary artery disease; Multidetector computed tomography; Percutaneous coronary intervention; Plaque

Mesh:

Year:  2018        PMID: 29548539     DOI: 10.1016/j.ijcard.2018.03.021

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  8 in total

1.  Combined coronary CT angiography with plain scan for diagnosis of ruptured plaque: comparison with optical coherence tomography.

Authors:  Wei Wu; Zhao-Qian Wang; Hai-Xia Zhang; You-Sheng Yuan; Ya-Na Dou; Da Yin; Xin-Sheng Li; Chong-Fu Jia
Journal:  Int J Cardiovasc Imaging       Date:  2021-05-24       Impact factor: 2.357

2.  Perivascular fat attenuation index and high-risk plaque features evaluated by coronary CT angiography: relationship with serum inflammatory marker level.

Authors:  Xu Dai; Jianhong Deng; Mengmeng Yu; Zhigang Lu; Chengxing Shen; Jiayin Zhang
Journal:  Int J Cardiovasc Imaging       Date:  2020-01-06       Impact factor: 2.357

3.  The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFRCT, or high-risk plaque features?

Authors:  Mengmeng Yu; Zhigang Lu; Chengxing Shen; Jing Yan; Yining Wang; Bin Lu; Jiayin Zhang
Journal:  Eur Radiol       Date:  2019-03-22       Impact factor: 5.315

4.  Long-term prognostic value of the serial changes of CT-derived fractional flow reserve and perivascular fat attenuation index.

Authors:  Xu Dai; Yang Hou; Chunxiang Tang; Zhigang Lu; Chengxing Shen; Longjiang Zhang; Jiayin Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-01

5.  Prognostic value of CT-derived myocardial blood flow, CT fractional flow reserve and high-risk plaque features for predicting major adverse cardiac events.

Authors:  Lihua Yu; Zhigang Lu; Xu Dai; Chengxing Shen; Lei Zhang; Jiayin Zhang
Journal:  Cardiovasc Diagn Ther       Date:  2021-08

6.  Lipoprotein(a) is associated with coronary atheroma progression: analysis from a serial coronary computed tomography angiography study.

Authors:  Xi Wang; Dong-Kai Shan; Guan-Hua Dou; Yi-Pu Ding; Jing Jing; He-Bin Che; Jun-Jie Yang; Yun-Dai Chen
Journal:  J Geriatr Cardiol       Date:  2021-12-28       Impact factor: 3.327

7.  The value of quantified plaque analysis by dual-source coronary CT angiography to detect vulnerable plaques: a comparison study with intravascular ultrasound.

Authors:  Mingyuan Yuan; Hao Wu; Rongxian Li; Mengmeng Yu; Xu Dai; Jiayin Zhang
Journal:  Quant Imaging Med Surg       Date:  2020-03

Review 8.  [Prognosis of patients with vulnerable plaques indicated by coronary CT angiography].

Authors:  Zhanlu Li; He Huang; Wenbin Zhang; Min Wang; Guosheng Fu
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2020-05-25
  8 in total

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