Loading clinical trials...
Loading clinical trials...
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.
Age
18 - 80 years
Sex
ALL
Healthy Volunteers
No
Daping Hospital
Chongqing, China
Start Date
January 1, 2019
Primary Completion Date
July 30, 2026
Completion Date
December 30, 2027
Last Updated
July 20, 2025
500
ESTIMATED participants
Lead Sponsor
Daping Hospital and the Research Institute of Surgery of the Third Military Medical University
NCT06242470
NCT07111364
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and Conditions