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

NCT07074535 · tracked via the Priya Life Science China tracker

Sponsor

Daping Hospital and the Research Institute of Surgery of the Third Military Medical University

Phase

Observational

Started

2019-01-01

Last updated

2025-07-20

Condition(s) studied

Esophageal Squamous Cell Cancer (SCC)Recurrent Laryngeal Nerve PalsyDeep LearningPostoperative Complication

Study 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.

Eligibility

Sex

ALL

Min age

18 Years

Max age

80 Years

Healthy volunteers

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.

Primary outcome measure(s)

AUROC (Area Under the Receiver Operating Characteristic Curve) — From enrollment to the end of treatment at 4 weeks
The discriminant ability of the comprehensive evaluation model at different thresholds (positive vs. negative)

Trial sites (1)

Facility	City	Region	Status
Daping Hospital	Chongqing	China

More Daping Hospital and the Research Institute of Surgery of the Third Military Medical University trials in China

Neoadjuvant Radiotherapy Plus Tegafur, Oxaliplatin and Iparomlimab and Tuvonralimab in Resectable Gastric and GE-junction Cancer : A Randomized, Two-arm, Prospective Trial (TRIUNITE-05) Recruiting

Single-port Versus Multi-port Robotic Surgery for Rectal Cancer Recruiting

Clinical Application of 68Ga-1A12 PET in Fibrosis-related Diseases Starting soon

LDRT Sequential NIPS Immunochemotherapy for Peritoneal Metastasis of Gastric and Colorectal Cancer Starting soon

LDRT Combined With Immunochemotherapy for Colorectal Cancer With Liver Metastasis Recruiting

Other trials for the same condition

Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment Recruiting

Artificial Intelligence in Detecting Cardiac Function Enrolling by invitation

Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study Recruiting

Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation Recruiting

A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data Enrolling by invitation

Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07074535 on ClinicalTrials.gov ↗ ← All trials in China