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Study for clinical application of artificial intelligence pathological diagnosis based on tumor microvascular classification

Study for clinical application of artificial intelligence pathological diagnosis based on tumor microvascular classification

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100047802
Enrollment
Unknown
Registered
2021-06-26
Start date
2021-12-01
Completion date
Unknown
Last updated
2022-02-28

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

Conditions

Glioma

Interventions

case series:no

Sponsors

The First Affiliated Hospital of Third Military Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
1 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Two or more pathologists jointly read the film and clearly diagnosed as glioma (grades II,III, and IV); 2.Two senior pathologists double-blindly label the tumor microvessels, and perform microvessel classification (cases that cannot be clearly labeled manually are excluded).

Exclusion criteria

Exclusion criteria: No.

Design outcomes

Primary

MeasureTime frame
Microvessel density;Percentage of blood vessel area;Pericyte to endothelial cell ratio;Fractal dimension of blood vessel;—

Countries

USA

Contacts

Public ContactBian Xiuwu

The First Affiliated Hospital of Third Military Medical University

bianxiuwuoffice@163.com+86 13708373857

Outcome results

None listed

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