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Detecting vulnerable carotid plaque and its component characteristics: Progress in related imaging techniques.
Weng, Shi-Ting; Lai, Qi-Lun; Cai, Meng-Ting; Wang, Jun-Jun; Zhuang, Li-Ying; Cheng, Lin; Mo, Ye-Jia; Liu, Lu; Zhang, Yin-Xi; Qiao, Song.
Affiliation
  • Weng ST; The Second Clinical Medical College, Zhejiang Chinese Medicine University, Hangzhou, China.
  • Lai QL; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
  • Cai MT; Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
  • Wang JJ; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
  • Zhuang LY; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
  • Cheng L; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
  • Mo YJ; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
  • Liu L; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
  • Zhang YX; Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
  • Qiao S; Department of Neurology, Zhejiang Hospital, Hangzhou, China.
Front Neurol ; 13: 982147, 2022.
Article in En | MEDLINE | ID: mdl-36188371
ABSTRACT
Carotid atherosclerotic plaque rupture and thrombosis are independent risk factors for acute ischemic cerebrovascular disease. Timely identification of vulnerable plaque can help prevent stroke and provide evidence for clinical treatment. Advanced invasive and non-invasive imaging modalities such as computed tomography, magnetic resonance imaging, intravascular ultrasound, optical coherence tomography, and near-infrared spectroscopy can be employed to image and classify carotid atherosclerotic plaques to provide clinically relevant predictors used for patient risk stratification. This study compares existing clinical imaging methods, and the advantages and limitations of different imaging techniques for identifying vulnerable carotid plaque are reviewed to effectively prevent and treat cerebrovascular diseases.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Neurol Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Neurol Year: 2022 Document type: Article Affiliation country: China
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