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Clinical Validation of AI-Assisted Radiotherapy Contouring Software for Thoracic Organs at Risk

NCT05787522 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2026-02-12

No results posted yet for this study

Summary

The goal of this clinical trial is to evaluate performance and clinical applicability of AI-assisted radiotherapy contouring software (iCurveE) for thoracic organs at risk. The main question it aims to answer is:

• Does AI-assisted contouring (AI contouring with manual modification) offer greater accuracy and time efficiency compared to manual contouring? After screening, the qualified participants' thoracic CT images will be anonymized and segmented using three methods: manual, AI (AI-only), and AI-assisted contouring. The researchers will compare the results generated by the three different contouring methods with the ground truth established by expert consensus, in order to evaluate both accuracy and time-related parameters

Conditions

Sponsors & Collaborators

  • Guangzhou Perception Vision Medical Technology Co. Ltd

    collaborator UNKNOWN

  • People's Hospital of Guangxi Zhuang Autonomous Region

    collaborator OTHER

  • Shanxi Province Cancer Hospital

    collaborator OTHER

  • Fifth Affiliated Hospital, Sun Yat-Sen University

    collaborator OTHER

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    collaborator OTHER

  • Tianjin Medical University Cancer Institute and Hospital

    lead OTHER

Principal Investigators

  • Zhiyong Yuan, Ph.D. · Tianjin Medical University Cancer Institute and Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-30
Primary Completion
2023-07-27
Completion
2024-03-06

Countries

  • China

Study Locations

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Entities

Diseases

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 NCT05787522 on ClinicalTrials.gov