Deep Learning Model for Diagnosis and Contour of Cervical Lymph Node for Nasopharyngeal Carcinoma

• Conditions: Deep Learning Model

• Registration Number: NCT05231616
• Lead Sponsor: Sun Yat-sen University

Brief Summary

The diagnosis of cervical lymph node in nasopharyngeal carcinoma is difficult. Magnetic resonance imaging based deep learning model may be a noninvasive and rapid diagnostic method for cervical lymph node. Thus, the investigators aimed to develop and externally validate a deep learning model to assist in the diagnosis and localization of metastatic lymph nodes in nasopharyngeal carcinoma.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-01-05
• Status Verified: 2022-02
• Study First Submitted: 2022-02-08
• Study First Submitted QC: 2022-02-08
• Study First Posted: 2022-02-09
• Last Update Submitted: 2022-02-25
• Last Update Posted: 2022-02-28
• Primary Completion: 2022-12-31
• Study Completion: 2022-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 5000

Inclusion Criteria

• Pathological diagnosis of nasopharyngeal carcinoma; Cervival lymph nodes confirmed by pathology

Exclusion Criteria

• a history of cancer

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Sensitivity and specificity	2022-12-31

Trial Locations

Locations (1)

Sun Yat-sen University Cancer Center; 🇨🇳 Guangzhou, Guangdong, China