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Building a machine learning-based assessment and teaching model for C-arm guided transforaminal epidural block

Building a machine learning-based assessment and teaching model for C-arm guided transforaminal epidural block

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007419
Enrollment
10000
Registered
2022-06-20
Start date
2022-06-15
Completion date
Unknown
Last updated
2022-06-27

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

Conditions

None listed

Interventions

None listed

Sponsors

The Catholic University of Korea, Eunpyeong St. Mary's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who performed transforaminal epidural steroid injection(code RSHA10) from January 1, 2012 to December 31, 2021.

Exclusion criteria

Exclusion criteria: Patients whose image quality is so poor that it is difficult to check the needle.

Design outcomes

Primary

MeasureTime frame
The degree of spread of contrast medium—

Secondary

MeasureTime frame
The location of needle tip—

Countries

Korea, Republic of

Contacts

Public ContactEunhye Park

The Catholic University of Korea, Eunpyeong St. Mary's Hospital

hhumil@gmail.com+82-2-2030-4370

Outcome results

None listed

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