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Deep learning predicates liver cancer risk based on long-term follow-up data of TCM syndrome characteristics of chronic HBV infection/fatty liver

Deep learning predicates liver cancer risk based on long-term follow-up data of TCM syndrome characteristics of chronic HBV infection/fatty liver

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037242
Enrollment
Unknown
Registered
2020-08-27
Start date
2020-09-01
Completion date
Unknown
Last updated
2020-10-13

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

Conditions

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Interventions

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Sponsors

Shanghai University of Traditional Chinese Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: (1) Regardless of gender, age from 18 to 70 years; (2) Patients who meet the diagnosis of chronic HBV infection, cirrhosis and liver cancer; (3) Patients who meet the diagnosis of fatty liver; (4) Willing to participate in clinical trials and sign informed consent.

Exclusion criteria

Exclusion criteria: (1) Liver metastasis; (2) Incomplete baseline and clinical data; (3) Other conditions that should be excluded according to the researcher.

Design outcomes

Primary

MeasureTime frame
SEN, SPE, ACC, AUC of ROC, PPV, NPV;

Countries

China

Contacts

Public ContactQin Yu

Shanghai University of Traditional Chinese Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine

18626185971@163.com+86 18621852095

Outcome results

None listed

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