NCT06032767

Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 480 (estimated)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

The goal of this observational study is to apply the CNN-based DL method to extract the three-dimensional spatial information of IMRT dose distribution to predict the occurrence probability of serious radiotherapy and chemotherapy induced oral mucositis(SRCOM), and compare with a model based on dosimetry, NTCP or doseomics to improve the prediction accuracy of SRCOM, thus guiding the clinical planning design, reducing the occurrence probability of OM, and may have the potential value of preventing serious complications and improving the quality of life in patients with nasopharyngeal carcinoma.

Conditions

• Nasopharyngeal Carcinoma
• Oral Mucositis

Interventions

Type	Name	Description
OTHER	observational group	patients initially diagnosed with nasopharyngeal carcinoma treated with IMRT

Timeline

• Start date: 2023-08-14
• Primary completion: 2024-09-30
• Completion: 2024-12-30
• First posted: 2023-09-13
• Last updated: 2024-01-05

Locations

1 site across 1 country: China