Trials / Unknown
UnknownNCT05797051
Application of Hyperspectral Imaging in the Diagnosis of Glomerular Diseases
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 80 (estimated)
- Sponsor
- Qianfoshan Hospital · Academic / Other
- Sex
- All
- Age
- 18 Years – 90 Years
- Healthy volunteers
- Not accepted
Summary
Morning urine samples of patients with IgA nephropathy, idiopathic membranous nephropathy, diabetic nephropathy, and minimal degenerative nephropathy confirmed by renal needle biopsy in our hospital from November 2020 to January 2022 were collected. By scanning the morning urine samples of corresponding patients with microhyperspectral imager, machine learning and deep learning were used to classify microhyperspectral images, and the classification accuracy was greater than 85%. Thus, hyperspectral imaging technology could be used as a non-invasive diagnostic means to assist the diagnosis of glomerular diseases.
Conditions
- Glomerulonephritis, IGA
- Glomerulonephritis, Membranous
- Diabetic Nephropathies
- Nephrosis, Lipoid
- Hyperspectral Imaging
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Microscopic hyperspectral imaging system | Microscopic hyperspectral imaging system |
Timeline
- Start date
- 2023-05-30
- Primary completion
- 2023-08-20
- Completion
- 2023-09-20
- First posted
- 2023-04-04
- Last updated
- 2023-05-03
Source: ClinicalTrials.gov record NCT05797051. Inclusion in this directory is not an endorsement.