Long-term carotid plaque progression and the role of intraplaque hemorrhage: A deep learning-based analysis of longitudinal vessel wall imaging
Rattachement africain : us, Afrique du Sud, kr, cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
BACKGROUND: Carotid atherosclerosis is a major contributor to the etiology of ischemic stroke. Although intraplaque hemorrhage (IPH) is known to increase stroke risk and plaque burden, its long-term effects on plaque dynamics remain unclear. This study aimed to evaluate the long-term impact of IPH on carotid plaque burden progression using deep learning-based segmentation on multi-contrast magnetic resonance vessel wall imaging (VWI). METHODS: 28 asymptomatic subjects with carotid atherosclerosis underwent an average of 4.7±0.6 VWI scans over 5.8±1.1 years. Deep learning pipelines were used to segment the carotid vessel walls and IPH. Bilateral plaque progression was analyzed using correlation coefficients and generalized estimating equations. Associations between IPH occurrence, IPH volume, and plaque burden (%WV) progression were evaluated using linear mixed-effect models. RESULTS: IPH was detected in 23/50 of the arteries at any time point. Of arteries without IPH at baseline, 11/39 developed new IPH that persisted, while 5/11 arteries with baseline IPH exhibited it throughout the study. Bilateral plaque growth was significantly correlated (r = 0.54, p<0.001), but this symmetry was weakened in cases with IPH (r = 0.1, p = 0.62). Moreover, IPH presence or development at any point was associated with a 2.3% absolute increase in %WV on average within the affected artery (p<0.001). The volume of IPH was also positively associated with increased %WV (p = 0.005). CONCLUSION: Deep learning-based segmentation pipelines were utilized to identify IPH, quantify IPH volume, and measure their effects on carotid plaque burden during long-term follow-up. Findings demonstrated that IPH may persist for extended periods. While arteries without IPH demonstrated minimal progression under contemporary treatment, the presence of IPH and greater IPH volume significantly accelerated long-term plaque growth.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Long-term carotid plaque progression and the role of intraplaque hemorrhage: A deep learning-based analysis of longitudinal vessel wall imaging
- Date Crossref
- 01/01/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Washington Department of Bioengineering pays non établi dans la noticeUniversité ou école supérieure
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University of Utah Department of Radiology and Imaging Science pays non établi dans la noticeUniversité ou école supérieure
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Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa Cape Town, Afrique du Sud (code pays fourni par la source)Organisation à but non lucratif
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Fred Hutch Cancer Center pays non établi dans la noticeOrganisation à but non lucratif
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Cancer Research And Biostatistics pays non établi dans la noticeOrganisation à but non lucratif
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University of Washington Applied Physics Laboratory pays non établi dans la noticeStructure de recherche
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St. Mary's Hospital pays non établi dans la noticeÉtablissement de santé
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The Catholic University of Korea Incheon St. Mary's Hospital pays non établi dans la noticeÉtablissement de santé
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Renji Hospital pays non établi dans la noticeÉtablissement de santé
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Clinical Biostatistics pays non établi dans la noticeÉtablissement de santé
Department of Bioengineering — University of Washington, Department of Radiology and Imaging Science — University of Utah et Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (Cape Town, Afrique du Sud), avec 7 autres affiliations. Pays d’affiliation : Afrique du Sud.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.