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Artificial Intelligence Was Used to Distinguish IgA Nephropathy from Diabetic Nephropathy Under Masson Staining

Artificial Intelligence Was Used to Distinguish IgA Nephropathy from Diabetic Nephropathy Under Masson Staining

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300072988
Enrollment
Unknown
Registered
2023-06-29
Start date
2022-09-01
Completion date
Unknown
Last updated
2023-07-02

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

Conditions

IgA nephropathy

Interventions

IgA group:No
DN group:No

Sponsors

The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Pathological diagnosis of primary IgA nephropathy or diabetic nephropathy; (2) The quality of Masson stained sections met the requirements of pathological diagnosis; (3) At least 18 years of age.

Exclusion criteria

Exclusion criteria: (1) Familial IgA nephropathy or IgA nephropathy caused by other genetic factors; (2) IgA nephropathy with other glomerulonephritis or diabetic nephropathy; (3) Diabetic nephropathy with other glomerular diseases; (3) Masson staining sections of frozen tissues.

Design outcomes

Primary

MeasureTime frame
Morphological and structural characteristics of glomeruli;—

Secondary

MeasureTime frame
Number of glomeruli in section;—

Countries

China

Contacts

Public ContactFAN Zhenliang

The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine)

fanmlov@sina.cn+86 15258808620

Outcome results

None listed

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