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Deep Learning-Assisted Ultrasound-Guided Stellate Ganglion Block Localization: A Retrospective Study

Deep Learning-Assisted Ultrasound-Guided Stellate Ganglion Block Localization: A Retrospective Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099000
Enrollment
Unknown
Registered
2025-03-17
Start date
2025-03-26
Completion date
Unknown
Last updated
2025-03-24

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

Conditions

None

Interventions

Observation group:Develop a high-precision segmentation model for accurately identifying the ultrasound-guided stellate ganglion block region.

Sponsors

Eye & ENT Hospital of Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Aged 18 to 80 years. 2.ASA physical status grade I or II. 3.Provided signed informed consent for stellate ganglion block.

Exclusion criteria

Exclusion criteria: 1.The medical records were incomplete or contained significant errors. 2.No clear signs of Horner's syndrome were observed following the SGB procedure. 3.Ultrasound videos of the SGB procedure were missing.

Design outcomes

Primary

MeasureTime frame
Dice similarity coefficient;Intersection over union;Average Symmetric Surface Distance;Hausdorff Distance;

Secondary

MeasureTime frame
Recall;Specificity;

Countries

China

Contacts

Public ContactWenxian Li

Eye & ENT Hospital of Fudan University

liwenxian@eentanesthesia.com+86 139 1742 6838

Outcome results

None listed

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