The evalution of an automatic detection and diagnosis AI system for liver diseases

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100045278

Enrollment

Unknown

Registered

2021-04-10

Start date

2020-09-01

Completion date

Unknown

Last updated

2023-11-27

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

Conditions

Focal liver lesions

Interventions

Gold Standard:Pathological test

Index test:AI system for automated detection and diagnosis

Eligibility

Sex/Gender

All

Age

14 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1.Aged 14 years or older; 2.Untreated focal liver lesions; 3.Patients accepted contrast enhanced CT scan; 4.Clinical information and imaging data are completed; 5.With definitive diagnosis: (1) Patients who had malignancies should be confirmed by histopathology; (2) Benign lesions was confirmed by histopathology, or supported by clinical information and imaging criteria, the follow-up time was at least 3 months.

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

Measure	Time frame
Accuracy;AUC;	—

Secondary

Measure	Time frame
Sensitivity;Specificity;F1-score;Recall;	—

Countries

China

Contacts

Public ContactCai Xiujun

Zhejiang University School of Medicine Sir Run Run Shaw Hospital

11518309@zju.edu.cn+86 137 3220 8832

Outcome results

None listed

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