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AI-Assisted Optimization of Online Adaptive Radiotherapy for Gastric Lymphoma
Sponsor: Sun Yat-sen University
Summary
The goal of this clinical trial is to evaluate CBCT image-based triggered online adaptive radiotherapy (ART) and assess its clinical benefits in protecting organs at risk (OARs).
Official title: AI-Assisted Optimization of Online Adaptive Radiotherapy for Gastric Lymphoma: A Prospective Single-Arm Phase II Exploratory Study
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
INTERVENTIONAL
Enrollment
25
Start Date
2026-05-08
Completion Date
2029-12-31
Last Updated
2026-05-27
Healthy Volunteers
No
Interventions
ART
All participants will receive intensity-modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT). To ensure study quality, all radiation therapy plans will undergo review by the research team at Sun Yat-sen University Cancer Center. Target volume delineation will adhere to the involved-site radiation therapy (ISRT) principles recommended by the International Lymphoma Radiation Oncology Group (ILROG) consensus guidelines. Treatment will be categorized based on intent: definitive radiation therapy or consolidative radiation therapy. The ART process primarily includes: imaging acquisition → AI-assisted automatic contouring → adaptive decision-making → plan optimization → verification → treatment delivery and documentation.
Locations (1)
Sun Yat-sen University Cancer Center
Guangzhou, Guangdong, China