ArticleScientific reports2025
Ex vivo study of Porcine esophagus magnetic resonance imaging with a compact endoluminal coil.
Article in Scientific reports, 2025. 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
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Does endoscopic magnetic resonance imaging challenge EUS?Endoscopic ultrasoundArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Endoscopic ultrasound (EUS) is the primary method for assessing the invasion depth of early esophageal cancer, though its capabilities are limited. To address this, we developed a compact endoluminal magnetic resonance (Endo-MR) coil equipped with a balloon and evaluated its imaging performance on pig esophagi. The inflatable balloon effectively maintains the esophageal morphology and reduces artifacts around the coil. Using T1-weighted and T2-weighted Endo-MR imaging, distinct esophageal layers, including the epithelial layer, lamina propria and muscularis mucosae, submucosa, muscularis propria, and adventitia, were identified, with superior contrast in T2-weighted images. Thermal injuries to the mucosa showed clear morphological correlation with Endo-MR images, enabling depth of invasion assessment via signal layer continuity. Compared to EUS, Endo-MR provided greater imaging stability in ex vivo environment (P < 0.01). These findings demonstrate that Endo-MR offers high spatial resolution and stable image quality, enabling detailed visualization of fine esophageal microstructures and small lesions, thus holding promising potential for clinical diagnosis.
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