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Application of ultrasonic signal processing and deep learning in intelligent diagnosis of hepatic echinococcus

Application of ultrasonic signal processing and deep learning in intelligent diagnosis of hepatic echinococcus

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100802
Enrollment
Unknown
Registered
2025-04-15
Start date
2025-04-30
Completion date
Unknown
Last updated
2025-04-21

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

Conditions

Hepatic Echinococcus

Interventions

Gold Standard:Pathological examination

Sponsors

Chengdu wenjiang district people's hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients with focal liver lesions (FLLs) diagnosed by gold standard (GS) and confirmed by pathology, including patients with hepatic echinococcosis, liver abscess, focal nodular hyperplasia (FNH), hepatic hemangioma, liver cyst, hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and liver metastases (LM); 2. For the Silver Standard (SS) group, patients with FLLs diagnosed by ultrasound (US) and at least one type of contrast-enhanced imaging (eg, MRI or CT) were included, and patients with hepatic echinococcosis were required to have an epidemiological history, confirmed by US and contrast-enhanced imaging, and had the consensus of at least two experts.

Exclusion criteria

Exclusion criteria: 1. Patients who refuse to participate in or withdraw from the study halfway; 2. Cases with poor image quality; 3. Cases without a clear MRI/CT diagnosis with contrast or lack of expert consensus.

Design outcomes

Primary

MeasureTime frame
ROC curve;Accuracy;F1score;AUC;

Countries

China

Contacts

Public ContactZhou Mi

Chengdu wenjiang district people's hospital

455307717@qq.com+86 135 5020 9090

Outcome results

None listed

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