ArticleTranslational pediatrics2026
Application of 3T contrast-enhanced Dixon water-fat separation coronary magnetic resonance angiography with artificial intelligence-assisted compressed sensing on coronary artery aneurysm in children with Kawasaki disease.
Article in Translational pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Pediatric cardiac magnetic resonance imaging (MRI) examinations often present significant challenges. artificial intelligence-assisted compressed sensing (ACS) technique is widely used to reduce scan time and improve image quality. Our purpose was to explore the value of the ACS technique for detecting coronary artery aneurysms (CAA) in children with Kawasaki disease (KD), as compared to the united compressed sensing (uCS) technique. Methods: Sixty patients with KD complicated with suspected coronary artery disease (CAD) who underwent 3T cardiovascular magnetic resonance (CMR) were recruited. Contrast-enhanced magnetic resonance angiography (MRA) images were obtained by both ACS and uCS techniques. The two sequences' scan time, subjective and objective image quality, and diagnostic performance for detecting CAA were measured and compared. Results: Sixty participants (39 males and 21 females; mean age ± standard deviation, 7±3 years) completed two sequences. The ACS technique exhibited a significantly shorter scan time compared to the uCS technique group (230.6±35.7 Conclusions: The ACS technique shows excellent diagnostic performance at 3T imaging with shorter scan time and better image quality compared with the uCS technique.
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