Clinical trials: Nasopharyngeal Cancinoma (NPC)
Nasopharyngeal Cancinoma (NPC), Distant Metastasis
Development and Validation of a Deep Learning Model to Predict Distant Metastases in Nasopharyngeal Carcinoma Using Whole Slide Imaging and MRI
An AI model was developed to predict the likelihood of distant metastasis in patients with nasopharyngeal cancer based on pathology slides and MRI scans of the primary tumor.
- Trial name
- NCT06831357
- Where
- 2 sites in China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Nasopharyngeal Cancinoma (NPC), Lymph Node Metastasis
A Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma(NPC)
(I) AI Model for Diagnosing Lymph Node Metastasis We developed an AI model to help diagnose whether a single lymph node in nasopharyngeal cancer has spread. The model uses MRI images of the lymph node and the area around it.
- Trial name
- NPC (NCT06829147)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Nasopharyngeal Cancinoma (NPC)
GP Combined with Toripalimab Versus GP Induction Chemotherapy for Advanced Childhood Nasopharyngeal Carcinoma
Nasopharyngeal carcinoma (NPC) has a low incidence rate in children, accounting for only 1-2% of pediatric tumors. However, it is prone to metastasis, and most patients are already in advanced stages at the time of diagnosis.
- Trial name
- NCT06605131
- Testing
- GP+Toripalimab+CCRT, GP+CCRT
- Where
- China
- Volunteers
- 72 people
- Sponsor
- Sun Yat-sen University