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Clinical Trial 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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05797051
Study type Observational
Source Qianfoshan Hospital
Contact Wang Zongsong
Phone 18660190175
Email wzsong3@163.com
Status Not yet recruiting
Phase
Start date May 30, 2023
Completion date September 20, 2023

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