NCT06792526

Prospective Study on Monitoring Parotid Gland Injury After Radiotherapy for Head and Neck Tumors Using Multimodal Radiomics

Monitoring Salivary Gland Damage After Radiotherapy in Patients with Head and Neck Cancer Using Multimodal Radiomics

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 20 (estimated)
• Sponsor: Hainan People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Exploring a non-invasive and objective method for ultra early quantitative assessment of radiation-induced parotid gland injury. To provide a new and early method for evaluating changes in parotid gland function in clinical practice, and to guide the timing of interventions to protect the parotid gland.

Detailed description

Exploring the application value of magnetic resonance fingerprinting (MRF) and intravoxel incoherent motion (IVIM) techniques in dynamically monitoring parotid gland injury and predicting the risk of dry mouth after radiotherapy for head and neck tumors. The study evaluated the changes in parotid gland cell density and microcirculation function by quantifying MRF (T1/T2 relaxation time, proton density) and IVIM parameters (D value, D \* value, f value), combined with parotid gland volume reduction rate, to establish an early risk model for predicting dry mouth syndrome and optimize parotid gland protection strategies.

Conditions

• Xerostomia, Radiation-induced Parotid Damage,Predictivevalue,Head and Neck Cancer

Interventions

Type	Name	Description
OTHER	IVIM Imaging MRF Imaging	IVIM imaging will be performed to evaluate microstructural and perfusion changes in the salivary glands of Head and Neck Cancer undergoing radiotherapy. This technique quantifies diffusion and perfusion parameters, providing insights into early tissue damage. MRF imaging will be used to quantify salivary gland tissue characteristics, including relaxation parameters (T1 and T2 mapping), to monitor radiotherapy-induced damage. The technique enables precise tissue characterization through multi-parametric MRI.

Timeline

• Start date: 2025-01-20
• Primary completion: 2025-07-20
• Completion: 2025-08-20
• First posted: 2025-01-24
• Last updated: 2025-01-24