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Study for validity of AI-assisted detection of rib fracture on chest noncontrast CT

Study for validity of AI-assisted detection of rib fracture on chest noncontrast CT

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900024487
Enrollment
Unknown
Registered
2019-07-13
Start date
2019-09-01
Completion date
Unknown
Last updated
2019-07-15

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

Conditions

rib fracture

Interventions

Gold Standard:The clinical reference standard will be decided by experts in consensus, to determine the presence or absence of rib fracture.
Index test:AI-assisted&#32
detection&#32
of&#32
rib&#32
fracture&#32
on&#32
chest&#32
noncontrast&#32

Sponsors

Peking University First Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients aged over 18, who suffered from acute chest injury, and were referred to noncontrast CT examination for the suspicion of complication.

Exclusion criteria

Exclusion criteria: 1. Poor image quality; 2. Pathological fracture or spontaneus fracture of the rib, or other disease of the rib rather than fracture; 3. Congenital malformation of the chest; 4. Patients with contraindication of AI-system or CT examination.

Design outcomes

Primary

MeasureTime frame
Detection of rib fracture;SPE, SEN, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactWang Xiaoying

Peking University First Hospital

cjr.wangxiaoying@vip.163.com+86 10 83575602

Outcome results

None listed

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