Publications by authors named "Camille Ruppli"
Objective: Abdominal aortic aneurysm (AAA) shrinkage is considered a marker for success following endovascular aortic repair (EVAR). Although maximum diameter is widely used to assess sac behavior, research indicates that changes in AAA morphology do not always affect the maximum diameter. The aim of this study was to investigate if automated AAA sac volume measurements after EVAR can add more nuanced information on sac behavior compared with maximum diameter evaluation alone.
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- The study aimed to train a machine-learning model to identify the transition zone of adhesion-related small bowel obstruction (SBO) in CT scans using a dataset of 562 scans from 404 patients.
- Experienced radiologists annotated the transition zones, and a neural network was trained to classify segments of the scans as either containing or not containing a transition zone, achieving an impressive AUROC score of 0.93.
- The results indicated that the model had a high probability of accurately detecting transition zones, especially in the hypogastric region, suggesting potential for automatic detection in clinical practice.