| Registry | NCT07074535 |
|---|---|
| Status | Active not recruiting |
| Study type | Observational |
| Enrollment | 500 (Estimated) |
| Sponsor | Daping Hospital and the Research Institute of Surgery of the Third Military Medical University (Other) |
| Conditions | Esophageal Squamous Cell Cancer (SCC), Recurrent Laryngeal Nerve Palsy, Deep Learning, Postoperative Complication |
| Dates | start 2019-01-01, primary completion 2026-07-30 (estimated), completion 2027-12-30 (estimated), first posted 2025-07-20, last updated 2025-07-20 |
| Locations | 1 site in China |
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All trials for Esophageal Squamous Cell Cancer (SCC) All trials for Recurrent Laryngeal Nerve Palsy
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.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Left RLN lymph node (+) | Postoperative pathological results confirmed the metastasis of left recurrent laryngeal nerve lymph nodes. | ||
| Left RLN lymph node (-) | Postoperative pathological results confirmed the negative of left recurrent laryngeal nerve lymph nodes. |
Sex: All, ages: 18 Years to 80 Years
Inclusion Criteria: * Preoperative gastroscopic biopsy confirmed esophageal squamous cell carcinoma; * The patient underwent esophagectomy with lymph nodes dissection along the left recurrent laryngeal nerve. Exclusion Criteria: * The patient's medical records are incomplete; * The patient refused to participate in the trial.
| Facility | City | Country | Status |
|---|---|---|---|
| Daping Hospital | Chongqing | China |