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

No results posted yet for this study

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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Entities

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 NCT07776301 on ClinicalTrials.gov