Trials / Active Not Recruiting
Active Not RecruitingNCT07074535
CT and Endoscopic Biopsy Image-Based Deep Learning for Predicting Left Recurrent Laryngeal Nerve Lymph Node Metastasis in Esophageal Cancer
- Status
- Active Not Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 500 (estimated)
- Sponsor
- Daping Hospital and the Research Institute of Surgery of the Third Military Medical University · Academic / Other
- Sex
- All
- Age
- 18 Years – 80 Years
- Healthy volunteers
- Not accepted
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.
Conditions
- Esophageal Squamous Cell Cancer (SCC)
- Recurrent Laryngeal Nerve Palsy
- Deep Learning
- Postoperative Complication
Timeline
- Start date
- 2019-01-01
- Primary completion
- 2026-07-30
- Completion
- 2027-12-30
- First posted
- 2025-07-20
- Last updated
- 2025-07-20
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07074535. Inclusion in this directory is not an endorsement.