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

Sun Yat-sen University

Status: Unknown

Conditions: Deep Learning Model

Study type: Observational

Funder types: Other

Identifiers

NCT05231616

B2020-334

Details and patient eligibility

About

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.

Enrollment: 5,000 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

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

Exclusion criteria

• a history of cancer