Functional Agent-Driven Computational Anatomy for Preoperative Siewert Classification of Adenocarcinoma of the Esophagogastric Junction Using Three-Dimensional Contrast- Enhanced CT: a retrospective multicenter diagnostic accuracy study
This retrospective multicenter study demonstrates that FACET, a functional agent-driven computational anatomy framework, improves the reproducibility and accuracy of preoperative Siewert classification for esophagogastric junction adenocarcinoma by converting subjective imaging assessments into calibrated, traceable 3D distance measurements on contrast-enhanced CT.