ArticleCirculation reports2026
Coronary Artery Brightness on Echocardiography as a Novel Marker in Kawasaki Disease - Machine Learning-Based Cluster Analysis.
Article in Circulation reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Multimodal Echocardiographic Assessment in Intravenous Immunoglobulin-Resistant Kawasaki Disease: From Prediction to Long-Term Surveillance.Echocardiography (Mount Kisco, N.Y.) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Coronary artery brightness (CAB) on echocardiography has been observed during the acute phase of Kawasaki disease (KD), but its clinical relevance remains unclear. This study aimed to quantify CAB and evaluate its clinical significance using unsupervised machine learning (ML). Methods and Results: Echocardiographic still images from 89 patients with acute-phase KD were analyzed. Pixel values of the coronary arteries (CAs) were extracted and standardized as Z-scores using brightness around the right coronary cusp as a reference. Mean and median pixel intensity (Z-scores) within the coronary artery region were calculated for each major CA branch. Based on these parameters, K-means clustering stratified patients into 2 clusters. Cluster 1 had significantly greater CA diameters and Z-scores in all 3 major coronary branches, with a higher proportion of patients with a maximum CA Z-score ≥2.5. In addition, levels of total bilirubin and pentraxin 3, both known predictors of intravenous immune globulin (IVIG) resistance, were significantly higher in Cluster 1. Conclusions: Quantitative CAB analysis combined with unsupervised ML effectively stratified KD patients into subgroups with distinct coronary and biomarker profiles. This method may serve as a novel non-invasive tool to evaluate disease severity and predict IVIG resistance in acute-phase KD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.