Skip to content

A multicenter controlled clinical study of the safety and efficacy of uIPW radiotherapy contouring software and deep learning automatic segmentation

A clinical trial evaluating the safety and efficacy of the deep learning auto-segmentation function of radiotherapy contouring software

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300076978
Enrollment
Unknown
Registered
2023-10-25
Start date
2023-10-25
Completion date
Unknown
Last updated
2023-10-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Malignant tumor

Interventions

Trials Group (Modify the contouring of automatic segmentation):NA
Control group (Manual contouring):NA

Sponsors

Ruijin Hospital, Shanghai Jiaotong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1) Age= 18 years old with full capacity for civil conduct; 2) There is analog positioning CT image data and conforms to DICOM3.0 standard, the scanning layer thickness should be <=5 mm, and the resolution = 512*512; 3) Patients diagnosed by a doctor who need radiation therapy; 4) Voluntarily participate in this clinical trial and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1) Image data with severe malformation and huge tumor mass, resulting in obvious displacement of normal tissue; 2) Data of special positions, such as: prone or lateral position; 3) Image data with non-normal tissue parts of the human body, such as contraceptive rings, prosthetics, and femoral head replacements; 4) Data with heavy image artifacts in the contouring part; 5) Other circumstances that the investigator deems inappropriate to participate in this clinical trial.

Design outcomes

Primary

MeasureTime frame
Dice Similarity Coefficient (DSC);

Secondary

MeasureTime frame
Contouring time;Contour suitability of automatic segmentation;Software performance;System stability and reliability;System data security;Adverse Event/Serious adverse effect;

Countries

China

Contacts

Public ContactChen Jiayi

Ruijin Hospital, Shanghai Jiaotong University School of Medicine

chenjiayi0188@aliyun.com+86 137 6164 8859

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026