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AI-Assisted Optimization of Online Adaptive Radiotherapy for Gastric Lymphoma

NCT07609355 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 25

Last updated 2026-05-27

No results posted yet for this study

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).

Conditions

  • Lymphoma of the Mucosa Associated Lymphoid Tissue (MALT)

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.

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-05-08
Primary Completion
2027-12-31
Completion
2029-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07609355 on ClinicalTrials.gov