Novel Imaging-Based Biomarkers for Identifying Carotid Plaque Vulnerability Article Swipe
Verónica Fernández‐Álvarez
,
Miriam Linares-Sánchez
,
Carlos Suárez
,
Fernando López
,
Orlando Guntinas–Lichius
,
Antti Mäkitie
,
Patrick J. Bradley
,
Alfio Ferlito
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/biom13081236
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/biom13081236
Carotid artery disease has traditionally been assessed based on the degree of luminal narrowing. However, this approach, which solely relies on carotid stenosis, is currently being questioned with regard to modern risk stratification approaches. Recent guidelines have introduced the concept of the “vulnerable plaque,” emphasizing specific features such as thin fibrous caps, large lipid cores, intraplaque hemorrhage, plaque rupture, macrophage infiltration, and neovascularization. In this context, imaging-based biomarkers have emerged as valuable tools for identifying higher-risk patients. Non-invasive imaging modalities and intravascular techniques, including ultrasound, computed tomography, magnetic resonance imaging, intravascular ultrasound, optical coherence tomography, and near-infrared spectroscopy, have played pivotal roles in characterizing and detecting unstable carotid plaques. The aim of this review is to provide an overview of the evolving understanding of carotid artery disease and highlight the significance of imaging techniques in assessing plaque vulnerability and informing clinical decision-making.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/biom13081236
- https://www.mdpi.com/2218-273X/13/8/1236/pdf?version=1691723759
- OA Status
- gold
- Cited By
- 18
- References
- 199
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385741641
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4385741641Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/biom13081236Digital Object Identifier
- Title
-
Novel Imaging-Based Biomarkers for Identifying Carotid Plaque VulnerabilityWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-10Full publication date if available
- Authors
-
Verónica Fernández‐Álvarez, Miriam Linares-Sánchez, Carlos Suárez, Fernando López, Orlando Guntinas–Lichius, Antti Mäkitie, Patrick J. Bradley, Alfio FerlitoList of authors in order
- Landing page
-
https://doi.org/10.3390/biom13081236Publisher landing page
- PDF URL
-
https://www.mdpi.com/2218-273X/13/8/1236/pdf?version=1691723759Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2218-273X/13/8/1236/pdf?version=1691723759Direct OA link when available
- Concepts
-
Medicine, Radiology, Vulnerable plaque, Magnetic resonance imaging, Optical coherence tomography, Fibrous cap, Stenosis, Context (archaeology), Carotid arteries, Ultrasound, Intravascular ultrasound, Medical imaging, Pathology, Internal medicine, Paleontology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 4, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
199Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.degree | 10 |
| abstract_inverted_index.modern | 30 |
| abstract_inverted_index.plaque | 57, 136 |
| abstract_inverted_index.played | 99 |
| abstract_inverted_index.regard | 28 |
| abstract_inverted_index.relies | 19 |
| abstract_inverted_index.review | 113 |
| abstract_inverted_index.solely | 18 |
| abstract_inverted_index.Carotid | 0 |
| abstract_inverted_index.carotid | 21, 107, 124 |
| abstract_inverted_index.concept | 39 |
| abstract_inverted_index.disease | 2, 126 |
| abstract_inverted_index.emerged | 69 |
| abstract_inverted_index.fibrous | 50 |
| abstract_inverted_index.imaging | 78, 132 |
| abstract_inverted_index.luminal | 12 |
| abstract_inverted_index.optical | 92 |
| abstract_inverted_index.pivotal | 100 |
| abstract_inverted_index.provide | 116 |
| abstract_inverted_index.However, | 14 |
| abstract_inverted_index.assessed | 6 |
| abstract_inverted_index.clinical | 140 |
| abstract_inverted_index.computed | 85 |
| abstract_inverted_index.context, | 65 |
| abstract_inverted_index.evolving | 121 |
| abstract_inverted_index.features | 46 |
| abstract_inverted_index.imaging, | 89 |
| abstract_inverted_index.magnetic | 87 |
| abstract_inverted_index.overview | 118 |
| abstract_inverted_index.plaques. | 108 |
| abstract_inverted_index.rupture, | 58 |
| abstract_inverted_index.specific | 45 |
| abstract_inverted_index.unstable | 106 |
| abstract_inverted_index.valuable | 71 |
| abstract_inverted_index.approach, | 16 |
| abstract_inverted_index.assessing | 135 |
| abstract_inverted_index.coherence | 93 |
| abstract_inverted_index.currently | 24 |
| abstract_inverted_index.detecting | 105 |
| abstract_inverted_index.highlight | 128 |
| abstract_inverted_index.including | 83 |
| abstract_inverted_index.informing | 139 |
| abstract_inverted_index.patients. | 76 |
| abstract_inverted_index.resonance | 88 |
| abstract_inverted_index.stenosis, | 22 |
| abstract_inverted_index.biomarkers | 67 |
| abstract_inverted_index.guidelines | 35 |
| abstract_inverted_index.introduced | 37 |
| abstract_inverted_index.macrophage | 59 |
| abstract_inverted_index.modalities | 79 |
| abstract_inverted_index.narrowing. | 13 |
| abstract_inverted_index.plaque,” | 43 |
| abstract_inverted_index.questioned | 26 |
| abstract_inverted_index.techniques | 133 |
| abstract_inverted_index.approaches. | 33 |
| abstract_inverted_index.emphasizing | 44 |
| abstract_inverted_index.hemorrhage, | 56 |
| abstract_inverted_index.higher-risk | 75 |
| abstract_inverted_index.identifying | 74 |
| abstract_inverted_index.intraplaque | 55 |
| abstract_inverted_index.techniques, | 82 |
| abstract_inverted_index.tomography, | 86, 94 |
| abstract_inverted_index.ultrasound, | 84, 91 |
| abstract_inverted_index.Non-invasive | 77 |
| abstract_inverted_index.significance | 130 |
| abstract_inverted_index.imaging-based | 66 |
| abstract_inverted_index.infiltration, | 60 |
| abstract_inverted_index.intravascular | 81, 90 |
| abstract_inverted_index.near-infrared | 96 |
| abstract_inverted_index.spectroscopy, | 97 |
| abstract_inverted_index.traditionally | 4 |
| abstract_inverted_index.understanding | 122 |
| abstract_inverted_index.vulnerability | 137 |
| abstract_inverted_index.“vulnerable | 42 |
| abstract_inverted_index.characterizing | 103 |
| abstract_inverted_index.stratification | 32 |
| abstract_inverted_index.decision-making. | 141 |
| abstract_inverted_index.neovascularization. | 62 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5022829960 |
| countries_distinct_count | 5 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I4210149758 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.96393492 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |