Identification of symptomatic carotid artery plaque: a predictive model combining angiography with optical coherence tomography
OCT is valuable in evaluating the plaque characteristics of carotid atherosclerotic stenosis. The combined predictive model comprising low-density lipoprotein-cholesterol >3.36 mmol/L, irregular plaque, ruptured plaque, and thrombus could help in the detection of symptomatic carotid plaque. Further research conducted on additional independent cohorts is necessary to confirm the clinical significance of the predictive model for symptomatic carotid plaque.
Authors
- Yunjian Xu (ORCID: https://orcid.org/0000-0002-0892-0122)
- Junhu Zhang (ORCID: https://orcid.org/0000-0001-9100-6608)
- Jun Zhuo
- Ruolin Li (ORCID: https://orcid.org/0000-0002-9602-2209)
- Zhiyuan Li (ORCID: https://orcid.org/0000-0003-3052-1109)
- Lin Wang (ORCID: https://orcid.org/0000-0002-6449-4930)
Institutions
- Affiliated Hospital of Jining Medical University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3389/fneur.2024.1445227
- Citations
- 4
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- National Natural Science Foundation of China