ArticleAnnals of neurology2026
Clot Composition Profiling in Large Vessel Occlusion Stroke Via Radiomics.
Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Beyond Recanalization: A Mechanistic and Procedural Framework for Adjunct Pharmacologic Therapy During Mechanical Thrombectomy.Journal of clinical medicine · 2026Review
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Authors and funding
24 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveClot composition may offer insights into the mechanism of ischemic stroke. Radiomics, a noninvasive imaging technique, enables tissue characterization through radiomic features (RFs). We aimed to evaluate clot composition using radiomics on non-contrast computed tomography (NCCT).
methodsIn the first phase, we conducted a prospective study comparing RFs with histopathology in thrombi retrieved via mechanical thrombectomy (MT). Thrombi were imaged using micro-computed tomography (micro-CT) and analyzed histologically. Matched micro-CT and histological slices identified red blood cells (RBCs) and fibrin-rich regions. RFs were extracted, and multivariate logistic regression identified features associated with each component. Spearman's correlation was used to assess associations between RFs and percentage composition. The same clots were localized on pre-MT NCCT, and RFs were extracted. Micro-CT and NCCT RFs were correlated to enable histology-informed interpretation. Receiver operating characteristic analysis evaluated the ability of NCCT RFs to discriminate clot composition. In the second phase, radiomics was applied to a retrospective NCCT dataset from patients with ischemic stroke with varying etiologies.
resultsTen thrombi were analyzed using micro-CT. Total energy (odds ratio [OR] = 1.35, 95% confidence interval [CI] = 1.20-1.54, p < 0.001) and large dependence high gray level emphasis (OR = 1.18, 95% CI = 1.07-1.32, p = 0.01) were associated with RBCs and correlated with >70% RBCs composition on NCCT (Rho = 0.752 and Rho = 0.815). Subsequently, 150 NCCT scans were analyzed, including 50 cardioembolic, 50 large artery atherosclerosis (LAA), and 50 cryptogenic strokes. Radiomic analysis indicated RBCs-predominant composition in 72% of cardioembolic, 30% of LAA, and 50% of cryptogenic clots.
interpretationRadiomics is a promising, noninvasive technique for characterizing clot composition. ANN NEUROL 2026;99:1179-1188.
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