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Development of AI-assisted diagnosis technology for liver cancer based on ultrasound (without contrast)

Development of AI-assisted diagnosis technology for liver cancer based on ultrasound

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400079851
Enrollment
Unknown
Registered
2024-01-15
Start date
2024-02-01
Completion date
Unknown
Last updated
2024-01-22

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

Conditions

hepatic carcinoma

Interventions

Gold Standard:Pathological results
Index test:CEUS image features (B-mode, CEUS-AP, PP, LP, CEUS LI-RADS classification)

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: ? Age =18 years old; ? There were complete preoperative CEUS images; (3) Complete clinical information (including etiology, preoperative laboratory test results, surgical treatment); ? There are definite pathological results; (5) Preoperative imaging showed no clear intrahepatic and external metastases

Exclusion criteria

Exclusion criteria: ? The quality of ultrasound images is poor, and the lesions cannot be clearly displayed; ? Tumor number =3; ? no risk factors for HCC; Previous history of HCC onset and treatment; ? accompanied by other malignant tumors; (5) Patients diagnosed with Bra-Gal syndrome, chronic portal vein Yang plug and congestive heart failure

Design outcomes

Primary

MeasureTime frame
Enhancement characteristics of HCC;Diagnostic accordance rate;—

Countries

China

Contacts

Public ContactQiang Lu

West China Hospital of Sichuan University

luqiang@scu.edu.cn+86 138 8217 5090

Outcome results

None listed

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