NCT07035977

DeepPriorCBCT for Low Dose Lung CBCT Reconstruction

A Deep-learning System for Low-Dose CBCT Image Reconstruction: a Stepwise, Multicentre, Early-stage Clinical Validation Study

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 138 (actual)
• Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The goal of this clinical trial is to learn if the DeepPriorCBCT model ensure high-quality CBCT image while reducing CBCT radiation dose. The main questions it aims to answer are: * Can DeepPriorCBCT reduce CBCT radiation doses? * Is the image quality of DeepPriorCBCT reconstruction consistent with that of existing clinical reconstruction method? Researchers will compare CBCT images quality reconstruction with DeepPriorCBCT model to CBCT image quality reconstruction with existing clinical protocols to see if DeepPriorCBCT model can improve the CBCT image quality while reducing radiation dose. Participants will: * Receive a single low dose (1/6 of existing clinical protocols) CBCT scan * Receive a single conventional dose CBCT scan

Conditions

• Lung Nodules

Interventions

Type	Name	Description
RADIATION	Participants will receive a 1/6 views undersampling lung CBCT scan.	Participants will receive a 1/6 views undersampling lung CBCT scan. And the CBCT images will be reconstructed by DeepPriorCBCT model for further analysis.

Timeline

• Start date: 2025-05-15
• Primary completion: 2025-07-15
• Completion: 2025-07-20
• First posted: 2025-06-25
• Last updated: 2025-12-18

Locations

5 sites across 1 country: China