Volume 20 Issue 10
Oct.  2022
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LI Yi-ming, ZHENG Yin-shi, LIN Guang-yao, HUANG Wen-qi, PAN Xiang-zhen, HUANG Xiao-yan. Clinical value of carotid ultrasound, energy spectral CT and MR high-resolution vessel wall imaging in judging the stability of carotid artery plaque[J]. Chinese Journal of General Practice, 2022, 20(10): 1737-1741. doi: 10.16766/j.cnki.issn.1674-4152.002692
Citation: LI Yi-ming, ZHENG Yin-shi, LIN Guang-yao, HUANG Wen-qi, PAN Xiang-zhen, HUANG Xiao-yan. Clinical value of carotid ultrasound, energy spectral CT and MR high-resolution vessel wall imaging in judging the stability of carotid artery plaque[J]. Chinese Journal of General Practice, 2022, 20(10): 1737-1741. doi: 10.16766/j.cnki.issn.1674-4152.002692

Clinical value of carotid ultrasound, energy spectral CT and MR high-resolution vessel wall imaging in judging the stability of carotid artery plaque

doi: 10.16766/j.cnki.issn.1674-4152.002692
Funds:

 LHGJ20191496

  • Received Date: 2021-09-08
    Available Online: 2022-11-30
  •   Objective  To explore the diagnostic efficacy of carotid artery ultrasound (US), energy spectral CT and MR high-resolution wall imaging (HR-VWI) in the stability of carotid plaque.  Methods  A total of 42 patients with carotid atherosclerosis undergoing carotid endarterectomy were selected from January 2018 to June 2020 in the Shangqiu First People' s Hospital. All patients underwent US, energy spectral CT and MR HR-VWI examinations. The diagnostic values of US, energy spectral CT and MR HR-VWI in evaluating the stability of carotid plaques were judged based on the pathological analysis results of plaques as the gold standard.  Results  A total of 53 plaques were obtained from 42 patients after surgery. A total of 43 plaques were detected by US examination, and 49 plaques were detected by energy spectral CT. The slopes of energy spectrum curves and effective atomic numbers of plaques with different components were calcified plaque, internal bleeding plaque, fibrous plaque and lipid plaque from high to low. Significant differences were found in the slopes of energy spectrum curves and effective atomic numbers of plaques with different components (all P < 0.05). A total of 51 plaques were detected by MR HR-VWI. With the pathological results as the gold standard, the detection rates, accuracy, specificity and sensitivity of energy spectral CT and MR HR-VWI were higher than those of US (all P < 0.05). Both energy spectral CT and MR HR-VWI showed a higher area under the curve of 0.819 (95% CI: 0.698-0.941) and 0.859 (95% CI: 0.750-0.967), respectively, for the diagnosis of carotid plaque stability than US (0.669, 95% CI: 0.517-0.821).  Conclusion  Energy spectral CT and MR HR-VWI are superior to US in the analysis of carotid plaque composition and plaque stability, providing clinical reference for the diagnosis of carotid plaque stability and the selection of treatment methods.

     

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