Improved Esophageal Varices Assessment from Non-Contrast CT Scans
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke, Yan, Yu Shi

TL;DR
This paper introduces MOON, a multi-organ analysis framework using non-contrast CT scans to improve the non-invasive diagnosis of esophageal varices, achieving higher accuracy than esophagus-only methods.
Contribution
The study presents the first multi-organ NC-CT analysis framework for EV assessment, integrating esophagus, liver, and spleen features to enhance diagnostic accuracy.
Findings
MOON outperforms esophagus-only methods in AUC for EV severity classification.
Validated on a large dataset with cross-validation and independent testing.
Provides a minimally invasive alternative to endoscopy for EV diagnosis.
Abstract
Esophageal varices (EV), a serious health concern resulting from portal hypertension, are traditionally diagnosed through invasive endoscopic procedures. Despite non-contrast computed tomography (NC-CT) imaging being a less expensive and non-invasive imaging modality, it has yet to gain full acceptance as a primary clinical diagnostic tool for EV evaluation. To overcome existing diagnostic challenges, we present the Multi-Organ-cOhesion-Network (MOON), a novel framework enhancing the analysis of critical organ features in NC-CT scans for effective assessment of EV. Drawing inspiration from the thorough assessment practices of radiologists, MOON establishes a cohesive multiorgan analysis model that unifies the imaging features of the related organs of EV, namely esophagus, liver, and spleen. This integration significantly increases the diagnostic accuracy for EV. We have compiled an…
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Taxonomy
TopicsEsophageal Cancer Research and Treatment · Ultrasound and Hyperthermia Applications · Advanced X-ray and CT Imaging
