Clinical Trial

CT and Endoscopic Biopsy Image-Based Deep Learning for Predicting Left Recurrent Laryngeal Nerve Lymph Node Metastasis in Esophageal Cancer

Active, Not Recruiting
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Record status
This record was last updated July 20, 2025 (before its estimated July 30, 2026 completion). Its status may not reflect the trial's current state.
Summary
The goal of this observational study is to develop a predictive model for left recurrent laryngeal nerve (RLN) lymph node metastasis using deep learning algorithms. The model will be developed using clinical data from previous esophageal cancer surgeries, including preoperative CT imaging, and histopathological images from gastroscopic biopsies. The model will also be validated through prospective clinical trials to guide the intraoperative lymph node dissection, thereby reducing postoperative risks of RLN injury.
Trial Details
NCT Number NCT07074535
Lead Sponsor Daping Hospital and the Research Institute of Surgery of the Third Military Medical University
Conditions Esophageal Squamous Cell Cancer (SCC), Recurrent Laryngeal Nerve Palsy, Deep Learning, Postoperative Complication
Enrollment 500 participants
Start Date 2019-01-01
Primary Completion 2026-07-30 (estimated)
Study Completion 2027-12-30 (estimated)
Updated on ClinicalTrials.gov 2025-07-20