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Non-invasive prediction of outcomes in neonatal necrotizing enterocolitis

Development and Validation of an X-ray-Driven AI Model for Generating Virtual Abdominal Images to Achieve Non-Invasive Prediction of Outcomes in Neonatal Necrotizing Enterocolitis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114890
Enrollment
Unknown
Registered
2025-12-18
Start date
2025-12-31
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Necrotizing Enterocolitis,NEC

Interventions

Case group:None

Sponsors

The Third Affiliated Hospital of Guangzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 1 Years

Inclusion criteria

Inclusion criteria: 1. Neonates with a confirmed diagnosis of necrotising enterocolitis (NEC) based on clinical and ancillary investigations; 2. Complete clinical and imaging documentation.

Exclusion criteria

Exclusion criteria: 1. Poor image quality; 2. Paediatric patients with concomitant gastrointestinal disorders confirmed by surgical intervention and pathological examination.

Design outcomes

Primary

MeasureTime frame
Whether surgical intervention is required for paediatric NEC patients (surgical NEC group and medical NEC group, i.e. sNEC and mNEC);—

Secondary

MeasureTime frame
Death;Intestinal stricture;—

Countries

China

Contacts

Public Contactlv Ling

The Third Affiliated Hospital of Guangzhou Medical University

lvling_edu@163.com+86 20 23886506

Outcome results

None listed

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