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Artificial intelligent diagnostic system for early Echinococcosis based on novel biomarkers

Early Echinococcosis diagnosis system based on novel biomarkers

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200060516
Enrollment
Unknown
Registered
2022-06-04
Start date
2020-07-01
Completion date
Unknown
Last updated
2024-05-21

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

Conditions

Echinococcosis

Interventions

Gold Standard:Anti-hydatid IgG was positive and imaging examination supported the diagnosis of hydatid disease
Index test:Screening effective biomarkers (cfDNA) from body fluids of patients with Echinococcosis as potential diagnostic indicators for early screening of Echinococcosis. Based on the selected bioma

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Anti-hydatid antibody IgG(+) and two clinical experts supported the diagnosis of hydatid disease based on two or more imaging tests; 2. No surgical treatment for hydatidosis or recurrence of hydatidosis after surgical treatment.

Exclusion criteria

Exclusion criteria: 1. Patients with primary liver cancer and other space-occupying liver diseases; 2. Complicated with other malignant tumors; 3. Those with connective tissue disease or autoimmune disease; 4. Patients with a history of acute or chronic hepatitis and other liver function impairment; 5. Other infectious diseases: such as pulmonary and hepatobiliary bacterial infection, tuberculosis, etc.; 6. Women who are pregnant or breastfeeding.

Design outcomes

Primary

MeasureTime frame
cell free DNA;

Countries

China

Contacts

Public ContactLi Chunyang

West China Hospital, Sichuan University

lichunyang@wchscu.cn+86 18581866992

Outcome results

None listed

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