Skip to content

An omics study combined magnetic resonance imaging and digital pathology to predict the survival risk of soft tissue sarcoma

An omics study combined magnetic resonance imaging and digital pathology to predict the survival risk of soft tissue sarcoma

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400082106
Enrollment
Unknown
Registered
2024-03-20
Start date
2023-08-11
Completion date
Unknown
Last updated
2024-03-25

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

Conditions

Soft tissue sarcoma

Interventions

Training set/ Validation set:None

Sponsors

The Affiliated Hospital of Qingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
10 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1.MRI scan obtained <14 days before treatment 2.Presence of a soft tissue sarcoma confirmed by histopathology postoperatively, and whole slide images of hematoxylin-eosin stained tissue sections were obtained 3.Complete clinical data

Exclusion criteria

Exclusion criteria: 1.The signal-to-noise ratio of MRI images=1.0, not to be analysed. 2.Poor quality of whole slide images. 3.Presence of a second unrelated malignancy.

Design outcomes

Primary

MeasureTime frame
Progression-free survival time;

Secondary

MeasureTime frame
Overall survival time;

Countries

China

Contacts

Public ContactHao Dapeng

The Affiliated Hospital of Qingdao University

haodp2021@qdu.edu.cn+86 186 6180 2582

Outcome results

None listed

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