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A deep learning based real-time auxiliary diagnosis system for endoscopic of laryngopharyngeal cancer: a prospective validation experiment.

Optimized modeling method for automatic analysis and auxiliary diagnosis of medical endoscopic images and large-scale application demonstration

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400083356
Enrollment
Unknown
Registered
2024-04-22
Start date
2024-06-12
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Head and neck cancer

Interventions

Gold Standard:Gold standard: The diagnosis of malignant tumors is based on pathological diagnosis results as the gold standard
Inflammatory diseases do not require biopsy to refer to the standard: Diagnosis by senior endoscopists
Index test:the real-time auxiliary diagnostic systems for endoscopic of laryngopharyngeal cancer based on deep learning

Sponsors

The First Affiliated Hospital of Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. male or female aged 18 or above; 2. electronradoscope should be conducted to further clarify the characteristics of throat diseases; 3. be able to read, understand and sign the informed consent; 4. the researcher believes that the subjects can understand the process of the clinical study, are willing and able to complete all the study procedures and follow-up visits, and cooperate with the study procedures.

Exclusion criteria

Exclusion criteria: 1. Subjects with a history of throat surgery; 2. The researcher believes that the subjects are not suitable for endoscopic ultrasonography and related examinations; 3. High-risk diseases or other special conditions that the researcher believes that the subjects are not suitable to participate in clinical trials. 4. Patients with abnormal throat anatomy caused by advanced tumor; 5. Patients with laryngopharyngeal swelling unable to observe the existence of clear throat anatomy

Design outcomes

Primary

MeasureTime frame
Accuracy of identifying laryngeal malignant tumors in laryngoscope videos or pictures;

Secondary

MeasureTime frame
Accuracy of Segmentation Area for Throat Malignant Tumors;

Countries

China

Contacts

Public ContactWenbin Lei

The First Affiliated Hospital of Sun Yat-Sen University

leiwb@mail.sysu.edu.cn+86 139 2211 3299

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026