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Differential diagnosis of benign and malignant spine compression fractures based on artificial intelligence

Differential diagnosis of benign and malignant spine compression fractures based on artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000040788
Enrollment
Unknown
Registered
2020-12-10
Start date
2021-01-01
Completion date
Unknown
Last updated
2021-04-12

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

Conditions

Vertebral Compression fracture

Interventions

Gold Standard:two-steps diagnostic model
"one-step"&#32
computer-aided&#32
diagnosis&#32
of&#32
and&#32
compression&#32
model

Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Benign compression fractures: 1. with osteoporosis; 2. MRI diagnosis of spine compression fracture; Malignant compression fracture: 1. with a primary malignant tumor of the vertebral body; 2. There is a secondary malignant tumor of the vertebral body, and other examination methods (such as PET-CT or vertebral puncture to confirm the vertebral body involvement); 3. MRI diagnosis of spine compression fracture.

Exclusion criteria

Exclusion criteria: 1. Traumatic compression fracture 2. Cases of compression fracture surgery or vertebral bone cement surgery

Design outcomes

Primary

MeasureTime frame
sensitivity;Specificity;Area Under Curve;

Countries

China

Contacts

Public ContactYuehua Li

Shanghai Sixth People's Hospital

liyuehua0529@163.com+86 18930172922

Outcome results

None listed

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