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Prediction of the prognosis of biliary atresia patients after Kasai surgery by deep learning model based on grayscale ultrasound and two-dimensional shear wave elastography

Prediction of the prognosis of biliary atresia patients after Kasai surgery by deep learning model based on grayscale ultrasound and two-dimensional shear wave elastography

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200058524
Enrollment
Unknown
Registered
2022-04-10
Start date
2023-04-30
Completion date
Unknown
Last updated
2024-01-08

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

Conditions

Biliary atresia

Interventions

Poor prognosis group:None
Good prognosis group:None

Sponsors

Department of Medical Ultrasound, West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 14 Years

Inclusion criteria

Inclusion criteria: 1. Children with biliary atresia confirmed by surgery or liver biopsy; 2. Children with complete preoperative and postoperative liver ultrasound and shear-wave elastic imaging data; 3. Children with complete prognostic follow-up data (including serum bilirubin level within 6 months, survival time of autogenous liver after Kasai, and liver transplantation time after Kasai, etc.).

Exclusion criteria

Exclusion criteria: 1. Children with biliary atresia complicated with other serious diseases; 2. Children lost to follow-up.

Design outcomes

Primary

MeasureTime frame
jaundice free 6 months after Kasai surgery;native liver survival time after Kasai surgery;gray scale ultrasound image;two-dimensional shear wave elastography image;—

Countries

China

Contacts

Public ContactLiu Juxian

West China Hospital, Sichuan University

liujuxian@wchscu.cn+86 18980605797

Outcome results

None listed

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