Application of CT-Linac-Based "All-in-One" One-Stop Radiotherapy in Breast Cancer
NCT07776301 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 225
Last updated 2026-08-20
Summary
This study aims to evaluate and report the clinical adverse events and dosimetric parameters in breast cancer patients undergoing an "all-in-one (AIO)" one-stop, fully automated radiotherapy workflow. By systematically tracking these clinical and physical metrics, we seek to establish a standardized clinical protocol for AIO radiotherapy in breast cancer management.
Conditions
Interventions
- OTHER
-
Radiotherapy procedure
The workflow relies on specialized convolutional neural networks for automated segmentation and dose-prediction auto-planning. These breast cancer models were trained on 285 historical institutional cases spanning radical mastectomy and breast-conserving surgery over five years. Auto-delineated structures include the clinical target volume, regional lymph nodes (if involved), tumor bed (identified by surgical clips), heart, bilateral lungs, unaffected breast, spinal cord, esophagus, thyroid, and affected humeral head. These contours guide dose prediction to generate deliverable tangential arc plans via clinical-goal-guided automated optimization in the treatment planning system. To adapt to the on-couch treatment scenario, models were validated on retrospective data and offline routines to maximize target delineation accuracy and the first-approval rate of auto-plans.
Sponsors & Collaborators
-
Fudan University
lead OTHER
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- SEQUENTIAL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-08-27
- Primary Completion
- 2028-08-27
- Completion
- 2028-11-27
Countries
- China
Study Locations
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