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NOT YET RECRUITING
NCT07609355
NA

AI-Assisted Optimization of Online Adaptive Radiotherapy for Gastric Lymphoma

Sponsor: Sun Yat-sen University

View on ClinicalTrials.gov

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

RADIATION

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